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|
* Database Information
WARNING: This document contains information on the GN databases which
will change over time. The GN database is currently MySQL based and,
while efficient, contains a number of design choices we want to grow
'out' of. Especially with an eye on reproducibility we want to
introduce versioning.
So do not treat the information in this document as a final way of
accessing data. It is better to use the
[[https://github.com/genenetwork/gn_server/blob/master/doc/API.md][REST API]].
* The small test database (2GB)
The default install comes with a smaller database which includes a
number of the BXD's and the Human liver dataset (GSE9588).
* GeneNetwork database
** Estimated table sizes
select table_name,round(((data_length + index_length) / 1024 / 1024), 2) `Size in MB` from information_schema.TABLES where table_schema = "db_webqtl" order by data_length;
+-------------------------+------------+
| table_name | Size in MB |
+-------------------------+------------+
| ProbeSetData | 59358.80 |
| SnpAll | 15484.67 |
| ProbeData | 22405.44 |
| SnpPattern | 9177.05 |
| ProbeSetSE | 14551.02 |
| QuickSearch | 5972.86 |
| ProbeSetXRef | 4532.89 |
| LCorrRamin3 | 18506.53 |
| ProbeSE | 6263.83 |
| ProbeSet | 2880.21 |
| Probe | 2150.30 |
| GenoData | 3291.91 |
| CeleraINFO_mm6 | 989.80 |
| pubmedsearch | 1032.50 |
| ProbeXRef | 743.38 |
| GeneRIF_BASIC | 448.54 |
| BXDSnpPosition | 224.44 |
| EnsemblProbe | 133.66 |
| EnsemblProbeLocation | 105.49 |
| Genbank | 37.71 |
| TissueProbeSetData | 74.42 |
| AccessLog | 42.38 |
| GeneList | 34.11 |
| Geno | 33.90 |
| MachineAccessLog | 28.34 |
| IndelAll | 22.42 |
| PublishData | 22.54 |
| TissueProbeSetXRef | 14.73 |
| ProbeH2 | 13.26 |
| GenoXRef | 22.83 |
| TempData | 8.35 |
| GeneList_rn3 | 5.54 |
| GORef | 4.97 |
| Phenotype | 6.50 |
| temporary | 3.59 |
| InfoFiles | 3.32 |
| Publication | 3.42 |
| Homologene | 5.69 |
| Datasets | 2.31 |
| GeneList_rn33 | 2.61 |
| PublishSE | 4.71 |
| GeneRIF | 2.18 |
| Vlookup | 1.87 |
| H2 | 2.18 |
| PublishXRef | 2.18 |
| NStrain | 4.80 |
| IndelXRef | 2.91 |
| Strain | 1.07 |
| GeneMap_cuiyan | 0.51 |
| user_collection | 0.30 |
| CaseAttributeXRef | 0.44 |
| StrainXRef | 0.56 |
| GeneIDXRef | 0.77 |
| Docs | 0.17 |
| News | 0.17 |
| ProbeSetFreeze | 0.22 |
| GeneRIFXRef | 0.24 |
| Sample | 0.06 |
| login | 0.06 |
| user | 0.04 |
| TableFieldAnnotation | 0.05 |
| DatasetMapInvestigator | 0.05 |
| User | 0.04 |
| ProbeFreeze | 0.06 |
| TableComments | 0.02 |
| Investigators | 0.02 |
| DBList | 0.03 |
| Tissue | 0.02 |
| GeneChip | 0.01 |
| GeneCategory | 0.01 |
| SampleXRef | 0.01 |
| InbredSet | 0.01 |
| SnpAllele_to_be_deleted | 0.00 |
| Organizations | 0.01 |
| PublishFreeze | 0.00 |
| GenoFreeze | 0.00 |
| Chr_Length | 0.01 |
| SnpSource | 0.00 |
| AvgMethod | 0.00 |
| Species | 0.00 |
| Dataset_mbat | 0.00 |
| TissueProbeFreeze | 0.00 |
| EnsemblChip | 0.00 |
| TissueProbeSetFreeze | 0.01 |
| UserPrivilege | 0.00 |
| CaseAttribute | 0.00 |
| MappingMethod | 0.00 |
| DBType | 0.00 |
| InfoFilesUser_md5 | 0.00 |
| GenoCode | 0.00 |
| DatasetStatus | 0.00 |
| GeneChipEnsemblXRef | 0.00 |
| GenoSE | 0.00 |
| user_openids | 0.00 |
| roles_users | 0.00 |
| role | 0.00 |
| Temp | NULL |
+-------------------------+------------+
97 rows in set, 1 warning (0.01 sec)
All *Data tables are large
** User access
According to the meta data:
This table tracks access time and IP addresses. Used for logging in
registered users and tracking cookies.
# GN1 uses access table and GN2 uses user table (true/false?)
select * from AccessLog limit 5;
+-------+---------------------+----------------+
| id | accesstime | ip_address |
+-------+---------------------+----------------+
| 12174 | 2003-10-28 02:17:41 | 130.120.104.71 |
| 12173 | 2003-10-28 02:16:27 | 130.120.104.71 |
| 3 | 2003-02-22 07:38:33 | 192.117.159.1 |
| 4 | 2003-02-22 07:49:13 | 192.117.159.1 |
| 5 | 2003-02-22 07:51:08 | 192.117.159.1 |
+-------+---------------------+----------------+
select * from AccessLog order by accesstime desc limit 5;
+---------+---------------------+---------------+
| id | accesstime | ip_address |
+---------+---------------------+---------------+
| 1025735 | 2016-02-08 14:23:29 | 100.43.81.157 |
| 1025734 | 2016-02-08 13:54:28 | 180.76.15.144 |
| 1025733 | 2016-02-08 13:43:37 | 66.249.65.217 |
| 1025732 | 2016-02-08 13:39:50 | 66.249.65.217 |
| 1025731 | 2016-02-08 13:15:46 | 66.249.65.217 |
+---------+---------------------+---------------+
Quite a few trait page hits:
select count(*) from AccessLog;
+----------+
| count(*) |
+----------+
| 1025685 |
+----------+
show indexes from AccessLog;
+-----------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+-----------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| AccessLog | 0 | PRIMARY | 1 | id | A | 1025685 | NULL | NULL | | BTREE | | |
+-----------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
This table is being used by both GN1 and GN2 from the trait pages!
: grep -ir AccessLog *|grep -e "^gn1\|^gn2"|grep \.py|grep -v doc
gn1/web/webqtl/showTrait/ShowTraitPage.py: query = "SELECT count(id) FROM AccessLog WHERE ip_address = %s and \
gn1/web/webqtl/showTrait/ShowTraitPage.py: self.cursor.execute("insert into AccessLog(accesstime,ip_address) values(Now(),%s)" ,user_ip)
gn1/web/webqtl/textUI/cmdClass.py: query = """SELECT count(id) FROM AccessLog WHERE ip_address = %s AND UNIX_TIMESTAMP()-UNIX_TIMESTAMP(accesstime)<86400"""
gn1/web/webqtl/textUI/cmdClass.py: query = """INSERT INTO AccessLog(accesstime,ip_address) values(Now(),%s)"""
gn2/wqflask/wqflask/show_trait/show_trait_page.py: query = "SELECT count(id) FROM AccessLog WHERE ip_address = %s and \
gn2/wqflask/wqflask/show_trait/show_trait_page.py: self.cursor.execute("insert into AccessLog(accesstime,ip_address) values(Now(),%s)", user_ip)
When looking at the code in GN1 and GN2 it restricts the daily use of
the trait data page (set to 1,000 - whoever reaches that?). Unlike
mentioned in the schema description, this table does *not* keep track
of cookies.
From the code it looks like GN2 uses a mixture of Redis and sqlalchemy
to keep track of logged in sessions (see
gn2/wqflask/wqflask/user_manager.py) and cookies through a user_uuid in
model.py.
In gn2/wqflask/wqflask/templates/collections/view_anonymous.html it
show_trait_page appears to be loaded (need to check).
** AvgMethod
Probesetfreeze refers to AvgMethod
** BXDSnPosition
Snp table (all snps)
Mapping in GN1 shows snps when you select a chromosome.
** CaseAttribute(XRef)
Metadata
** CeleralINFO_mm6
?
** Chr_Length (/cross/BXD.json)
Default mm9, column for mm8
select * from Chr_Length;
| Name | SpeciesId | OrderId | Length | Length_mm8 |
| 1 | 1 | 1 | 197195432 | 197069962 |
| 2 | 1 | 2 | 181748087 | 181976762 |
Table should be merged with
** Dataset_mbat
Menu for BXD (linkouts)
** DatasetMapInvestigator
Arthur?
** DataSets
Information/metadata
** DatasetStatus
Arthur private/public
** DBList and DBType
Hooked in API (URL encoding)
** Docs
GN2 only (see menu bar)
** Ensembl*
Probe information
(will be deprecated)
** Genbank
Linkout and not important
** GeneCategory
Not important. GeneWiki notes function classification.
Deprecate.
** GeneChip
** GeneIDXRef
Interspecies gene comparison
** GeneList
Track info
** Genlist_rn3(3)
Rat list
** GeneMap_cuiyan
Link outs
** GeneRIF
Wiki info (nightly updated from NCBI)
XRef should be foreign keys
** Geno (genotype/marker/'marker'.json)
SNP or marker info
INFO:base.trait:.sql: retrieve_info:
select Geno.Chr, Geno.Mb from Geno, Species
where Species.Name = 'mouse' and
Geno.Name = 'rs3693478' and
Geno.SpeciesId = Species.Id
| Id | SpeciesId | Name | Marker_Name | Chr | Mb | Sequence | Source | chr_num | Source2 | Comments | used_by_geno_file | Mb_mm8 | Chr_mm8 |
| 1 | 1 | 01.001.695 | 01.001.695 | 1 | 4.678288 | GCCCTGCCCACCTCAGAGCAAGCTGCCACCCAGGAGTCCGTGTTTCAGGAGATGTGTGAGGAGGGCCTGCTGGAGGAGTGTGATGGTGAGGATGAGGCAGGCCGTGCCGCG[T/C]AGCCAGAGGCTGGTGATGGGACCACCGAGATCTCACCCACTGGTGCTGCTGATCCTGAGAAGAGGATGGAGAAGAAGACGGAGCAGCAGCACACCGGCGGCGGGAGAAAGCTGCTCGTAAGCTGCTCGTAAGCTACGGGTGCAGCAGGCTGCACTTAGGGCAGCCCGGCTTCAGCACCAAGAACTCTTCAGGCTGCATGGGATCAAGGCCCAGGTGGCCCGAAGGCTGGCAGAACTCGCACACGGGAGGGAGCAGCAGCGCATACAGCGACTGGCAGAGGCTGACAAGCCCCGAAGGCTGGGACGACTCAAGTACCAGGCTCCTGACATTGATGTGCAGCTCAGCTCTGAGCTGTCTGGCCCACTCAGGACACTGAAACCAGAAGGTCACATTCTCCAAGACAGGTTCAAGAGCTTCCAGAAGAGAAATATGATTGAGCCCCGAGAACGAGCCAAGTTCAAGCGCAAATAAAAAATGAAGTTGGTGGAGAAGCGGGCCTACCATGAGATTCAGTTGTAGCTGTGCAGATGTCGGAGCCCCGCCCCTCAATAAAGTTCTGTGACAAAAAAAAAAAAAAAAAAAGAAGAAGAAGAAGAAAAGGAAAAAAAAGAAGAAAAAGAAAAAAAAAGAAAAAAGAAAAAGAAAACACATCACTTGGCAAAACTCCATAGACTCTATGTGATTCATGTTTCAAACATGCACCTA | GNF_SNP | 1 | GNF | NULL | NULL | 4.678288 | 1 |
** GenoCode
Belongs to someone else
** GenoData
Allele info
** GenoFreeze
Big menu (Freeze refers to menu)
** GenoSE
SE standard err, not used
** GenoXREF
Very important. Key links between Geno, GenoData
** GORef
GO terms
** H2
Heritability for probeset(?)
** Homologene
Homology, not used much
** InbredSet (/cross/BXD.info)
Group in menu
** Indelall, SnpAll, SnpPattern, SnpSource
Indel Snp browser (variant browser Gn1)
** Info*
Infra system PhP
Data Info button
Infosystem users has separate entries
Also Investigators, User, Organizations,
** LCorrRamin3
Lit. Correlations Prof. Ramin
** Login
GN2 login info
** MachineAccessLog
Old
** MappingMethod
GN1
** News
GN2
** NStrain
pheno publishfreeze (menu)
xref (keys)
xref links to publish (pubmed), phenotype, pubishdata
geno genofreeze
xref (keys)
xref links to publish (pubmed), genotype, genodata
probeset/expr. probesetfreeze
xref (keys)
xref links to publish (pubmed), probeset, probesetdata
probe/expr. probefreeze
xref (keys)
xref links to publish (pubmed), probe, probedata
Each dataset has 3 values (real value (1), number of samples (2), stderr (3))
NStrain = number of phenotype samples
ProbesetFreeze contains all data, incl. metabolomic.
** Phenotype
This table contains names, full descriptions, and short symbols for
traits and phenotype used primarily in the Published Phenotypes
databases.
Contains 10k rows, March 2016, of which 5000 are for the BXDs).
| Id | Pre_publication_description | Post_publication_description | Original_description | Units | Pre_publication_abbreviation | Post_publication_abbreviation | Lab_code | Submitter | Owner | Authorized_Users |
+----+-----------------------------+----------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------+------------------------------+-------------------------------+----------+-------------+-------+------------------+
| 1 | NULL | Hippocampus weight | Original post publication description: Hippocampus weight | Unknown | NULL | HPCWT | NULL | robwilliams | NULL | robwilliams |
| 2 | NULL | Cerebellum weight | Original post publication description: Cerebellum weight | mg | NULL | CBLWT | NULL | robwilliams | NULL | robwilliams |
| 3 | NULL | Interleukin 1 activity by peritoneal macrophages stimulated with 10 ug/ml lipopolysaccharide [units/100 ug protein] | Original post publication description: Interleukin 1 activity by peritoneal macrophages stimulated with 10 ug/ml lipopolysaccharide [units/100 ug protein] | units/100 ug protein | NULL | IL1Activity | NULL | robwilliams | NULL | robwilliams |
| 4 | NULL | Central nervous system, morphology: Cerebellum weight, whole, bilateral in adults of both sexes [mg] | Original post publication description: Cerebellum weight [mg] | mg | NULL | CBLWT2 | NULL | robwilliams | NULL | robwilliams |
| 5 | NULL | The coat color of 79 BXD RI strain | Original post publication description: The coat color of 79 BXD RI strain | Unknown | NULL | CoatColor | NULL | robwilliams | NULL | robwilliams |
+----+-----------------------------+----------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------+------------------------------+-------------------------------+----------+-------------+-------+------------------+
5 rows in set (0.00 sec)
** ProbeData
Table with fine-grained probe level Affymetrix data only. Contains 1
billion rows March 2016. This table may be deletable since it is only
used by the Probe Table display in GN1. Not used in GN2
(double-check).
In comparison the "ProbeSetData" table contains more molecular assay
data, including probe set data, RNA-seq data, proteomic data, and
metabolomic data. 2.5 billion rows March 2016. In comparison,
ProbeData contains data only for Affymetrix probe level data
(e.g. Exon array probes and M430 probes).
"ProbeData.StrainId" should be "CaseId" or "SampleId".
"ProbeData" should probably be "AssayData" or something more neutral.
select * from ProbeData limit 2;
+--------+----------+---------+
| Id | StrainId | value |
+--------+----------+---------+
| 503636 | 42 | 11.6906 |
| 503636 | 43 | 11.4205 |
+--------+----------+---------+
2 rows in set (0.00 sec)
select count(*) from ProbeData limit 2;
+-----------+
| count(*) |
+-----------+
| 976753435 |
+-----------+
1 row in set (0.00 sec)
** ProbeSet
Comment: PLEASE CHANGE TABLE NAME and rework fields carefully. This is
a terrible table but it works well (RWW March 2016). It is used in
combination with the crucial TRAIT DATA and ANALYSIS pages in GN1 and
GN2. It is also used by annotators using the UPDATE INFO AND DATA web
form to correct and update annotation. It is used by Arthur to enter
new annotation files and metadata for arrays, genes, proteins,
metabolites. The main problem with this table is that it is doing too
much work.
Initially (2003) this table contained only Affymetrix ProbeSet data
for mouse (U74aV2 initially). Many other array platforms for different
species were added. At least four other major categories of molecular
assays have been added since about 2010.
1. RNA-seq annotation and sequence data for transcripts using ENSEMBL
identifiers or NCBI NM_XXXXX and NR_XXXXX type identifiers
2. Protein and peptide annotation and sequence data (see BXD Liver
Proteome data, SRM and SWATH type data) with identifiers such as
"abcb10_q9ji39_t311" for SRM data and "LLGNMIVIVLGHHLGKDFTPAAQAA"
for SWATH data where the latter is just the peptide fragment that
has been quantified. Data first entered in 2015 for work by Rudi
Aebersold and colleagues.
3. Metabolite annotation and metadata (see BXD Liver Metabolome data)
with identifiers that are usually Mass charge ratios such as
"149.0970810_MZ"
4. Epigenomic and methylome data (e.g. Human CANDLE Methylation data
with identifiers such as "cg24523000")
It would make good sense to break this table into four or more types
of molecular assay metadata or annotation tables) (AssayRNA_Anno,
AssayProtein_Anno, AssayMetabolite_Anno, AssayEpigenome_Anno,
AssayMetagenome_Anno), since these assays will have many differences
in annotation content compared to RNAs.
Some complex logic is used to update contents of this table when
annotators modify and correct the information (for example, updating
gene symbols). These features requested by Rob so that annotating one
gene symbol in one species would annotate all gene symbols in the same
species based on common NCBI GeneID number. For example, changing the
gene alias for one ProbeSet.Id will changing the list of aliases in
all instances with the same gene symbol.
If the ProbeSet.BlatSeq (or is this ProbSetTargetSeq) is identical
between different ProbeSet.Ids then annotation is forced to be the
same even if the symbol or geneID is different. This "feature" was
implemented when we found many probe sets with identical sequence but
different annotations and identifiers.
select count(*) from ProbeSet limit 5;
+----------+
| count(*) |
+----------+
| 4351030 |
+----------+
| Id | ChipId | Name | TargetId | Symbol | description | Chr | Mb | alias | GeneId | GenbankId | SNP | BlatSeq | TargetSeq | UniGeneId | Strand_Probe | Strand_Gene | OMIM | comments | Probe_set_target_region | Probe_set_specificity | Probe_set_BLAT_score | Probe_set_Blat_Mb_start | Probe_set_Blat_Mb_end | Probe_set_strand | Probe_set_Note_by_RW | flag | Symbol_H | description_H | chromosome_H | MB_H | alias_H | GeneId_H | chr_num | name_num | Probe_Target_Description | RefSeq_TranscriptId | Chr_mm8 | Mb_mm8 | Probe_set_Blat_Mb_start_mm8 | Probe_set_Blat_Mb_end_mm8 | HomoloGeneID | Biotype_ENS | ProteinID | ProteinName | Flybase_Id | HMDB_ID | Confidence | ChEBI_ID | ChEMBL_ID | CAS_number | PubChem_ID | ChemSpider_ID | UNII_ID | EC_number | KEGG_ID | Molecular_Weight | Nugowiki_ID | Type | Tissue | PrimaryName | SecondaryNames | PeptideSequence |
+------+--------+----------+----------+--------+----------------------------------------------+------+-----------+----------+--------+-----------+------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------------+-------------+--------+----------+-------------------------+-----------------------+----------------------+-------------------------+-----------------------+------------------+----------------------+------+----------+---------------+--------------+------+---------+----------+---------+----------+--------------------------+---------------------+---------+-----------+-----------------------------+---------------------------+--------------+-------------+-----------+-------------+------------+---------+------------+----------+-----------+------------+------------+---------------+---------+-----------+---------+------------------+-------------+------+--------+-------------+----------------+-----------------+
| 7282 | 1 | 93288_at | NULL | Arpc2 | actin related protein 2/3 complex, subunit 2 | 1 | 74.310961 | AK008777 | 76709 | AI835883 | 0 | CCGACTTCCTTAAGGTGCTCAACCGGACTGCTTGCTACTGGATAATCGTGAGGGATTCTCCATTTGGGTTCCATTTTGTACGAGTTTGGCAAATAACCTGCAGAAACGAGCTGTGCTTGCAAGGACTTGATAGTTCCTAATCCTTTTCCAAGCTGTTTGCTTTGCAATATGT | ccgacttccttaaggtgctcaaccgtnnnnnnccnannnnccnagaaaaaagaaatgaaaannnnnnnnnnnnnnnnnnnttcatcccgctaactcttgggaactgaggaggaagcgctgtcgaccgaagnntggactgcttgctactggataatcgtnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnntgagggattctccatttgggttccattttgtacgagtttggcaaataacctgcagaaacgagctgtgcttgcaaggacttgatagttcctaagaattanaanaaaaaaaanaanttccacttgatcaanttaattcccttttatttttcctccctcantccccttccttttccaagctgtttgctttgcaatatgt | Mm.337038 | + | | 604224 | | NULL | 8.45 | 169 | 74.310961 | 74.31466 | NULL | NULL | 3 | NULL | NULL | NULL | NULL | NULL | NULL | 1 | 93288 | NULL | XM_129773 | 1 | 74.197594 | 74.197594 | 74.201293 | 4187 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
+------+--------+----------+----------+--------+----------------------------------------------+------+-----------+----------+--------+-----------+------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------------+-------------+--------+----------+-------------------------+-----------------------+----------------------+-------------------------+-----------------------+------------------+----------------------+------+----------+---------------+--------------+------+---------+----------+---------+----------+--------------------------+---------------------+---------+-----------+-----------------------------+---------------------------+--------------+-------------+-----------+-------------+------------+---------+------------+----------+-----------+------------+------------+---------------+---------+-----------+---------+------------------+-------------+------+--------+-------------+----------------+-----------------+
2 rows in set (0.00 sec)
** ProbeSetXRef (phenotypes/dataset_name.json)
For every probe set (read dataset measuring point):
select * from ProbeSetXRef;
| ProbeSetFreezeId | ProbeSetId | DataId | Locus_old | LRS_old | pValue_old | mean | se | Locus | LRS | pValue | additive | h2 |
| 112 | 123528 | 23439389 | NULL | NULL | NULL | 6.7460707070707 | NULL | rs6239372 | 10.9675593568894 | 0.567 | 0.0448545966228878 | NULL |
| 112 | 123527 | 23439388 | NULL | NULL | NULL | 6.19416161616162 | NULL | rs13476936 | 10.9075670392762 | 0.567 | -0.0358456732993988 | NULL |
where ProbeSetFreezeId is the dataset (experiment). ProbesetId refers
to the probe set information (measuring point). DataId points to the
data point. The othe values are used for search.
It is used in search thus:
SELECT distinct ProbeSet.Name as TNAME,
ProbeSetXRef.Mean as TMEAN, ProbeSetXRef.LRS as TLRS,
ProbeSetXRef.PVALUE as TPVALUE, ProbeSet.Chr_num as TCHR_NUM,
ProbeSet.Mb as TMB, ProbeSet.Symbol as TSYMBOL,
ProbeSet.name_num as TNAME_NUM
FROM ProbeSetXRef, ProbeSet
WHERE ProbeSet.Id = ProbeSetXRef.ProbeSetId
and ProbeSetXRef.ProbeSetFreezeId = 112
ORDER BY ProbeSet.symbol ASC limit 5;
| TNAME | TMEAN | TLRS | TPVALUE | TCHR_NUM | TMB | TSYMBOL | TNAME_NUM |
| 1445618_at | 7.05679797979798 | 13.5417452764616 | 0.17 | 8 | 75.077895 | NULL | 1445618 |
| 1452452_at | 7.232 | 30.4944361132252 | 0.0000609756097560421 | 12 | 12.6694 | NULL | 1452452 |
** ProbeSetData
Probedata - main molecular data. Probesets, metabolome,
Almost all important molecular assay data is in this table including
probe set data, RNA-seq data, proteomic data, and metabolomic
data. 2.5 billion rows March 2016. In comparison, ProbeData contains
data only for Affymetrix probe level data (e.g. Exon array probes and
M430 probes).
select count(*) from ProbeSetData limit 5;
+---------------+
| count(*) |
+---------------+
| 2,510,566,472 |
+---------------+
select * from ProbeSetData limit 5;
+----+----------+-------+
| Id | StrainId | value |
+----+----------+-------+
| 1 | 1 | 5.742 |
| 1 | 2 | 5.006 |
| 1 | 3 | 6.079 |
| 1 | 4 | 6.414 |
| 1 | 5 | 4.885 |
+----+----------+-------+
show indexes from ProbeSetData;
+--------------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+--------------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| ProbeSetData | 0 | DataId | 1 | Id | A | 34868978 | NULL | NULL | | BTREE | | |
| ProbeSetData | 0 | DataId | 2 | StrainId | A | 2510566472 | NULL | NULL | | BTREE | | |
+--------------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
select * from Strain limit 5;
+----+----------+----------+-----------+--------+-------+
| Id | Name | Name2 | SpeciesId | Symbol | Alias |
+----+----------+----------+-----------+--------+-------+
| 1 | B6D2F1 | B6D2F1 | 1 | NULL | NULL |
| 2 | C57BL/6J | C57BL/6J | 1 | B6J | NULL |
| 3 | DBA/2J | DBA/2J | 1 | D2J | NULL |
| 4 | BXD1 | BXD1 | 1 | NULL | NULL |
| 5 | BXD2 | BXD2 | 1 | NULL | NULL |
+----+----------+----------+-----------+--------+-------+
show indexes from Strain;
+--------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+--------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Strain | 0 | PRIMARY | 1 | Id | A | 14368 | NULL | NULL | | BTREE | | |
| Strain | 0 | Name | 1 | Name | A | 14368 | NULL | NULL | YES | BTREE | | |
| Strain | 0 | Name | 2 | SpeciesId | A | 14368 | NULL | NULL | | BTREE | | |
| Strain | 1 | Symbol | 1 | Symbol | A | 14368 | NULL | NULL | YES | BTREE | | |
+--------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
A typical query may look like
SELECT Strain.Name, ProbeSetData.value, ProbeSetSE.error, ProbeSetData.Id
FROM (ProbeSetData, ProbeSetFreeze, Strain, ProbeSet, ProbeSetXRef)
left join ProbeSetSE on
(ProbeSetSE.DataId = ProbeSetData.Id AND ProbeSetSE.StrainId = ProbeSetData.StrainId)
WHERE
ProbeSetFreeze.name = 'B139_K_1206_M' AND
ProbeSetXRef.ProbeSetId = ProbeSet.Id AND
ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND
ProbeSetXRef.DataId = ProbeSetData.Id AND
ProbeSetData.StrainId = Strain.Id
Order BY Strain.Name
+-------+-------+-------+----------+
| Name | value | error | Id |
+-------+-------+-------+----------+
| SM001 | 38.3 | NULL | 25309550 |
| SM001 | 2.7 | NULL | 25309520 |
| SM001 | 20.3 | NULL | 25309507 |
| SM001 | 125.8 | NULL | 25309511 |
| SM001 | 8.2 | NULL | 25309534 |
+-------+-------+-------+----------+
5 rows in set (22.28 sec)
select * from ProbeSetFreeze limit 5;
+----+---------------+-------+-------------+---------------------------------+---------------------------------------------+-------------------------+------------+-----------+--------+-----------------+-----------------+-----------+
| Id | ProbeFreezeId | AvgID | Name | Name2 | FullName | ShortName | CreateTime | OrderList | public | confidentiality | AuthorisedUsers | DataScale |
+----+---------------+-------+-------------+---------------------------------+---------------------------------------------+-------------------------+------------+-----------+--------+-----------------+-----------------+-----------+
| 1 | 3 | 1 | Br_U_0803_M | BXDMicroArray_ProbeSet_August03 | UTHSC Brain mRNA U74Av2 (Aug03) MAS5 | Brain U74Av2 08/03 MAS5 | 2003-08-01 | NULL | 0 | 0 | NULL | log2 |
| 2 | 10 | 1 | Br_U_0603_M | BXDMicroArray_ProbeSet_June03 | UTHSC Brain mRNA U74Av2 (Jun03) MAS5 | Brain U74Av2 06/03 MAS5 | 2003-06-01 | NULL | 0 | 0 | NULL | log2 |
| 3 | 8 | 1 | Br_U_0303_M | BXDMicroArray_ProbeSet_March03 | UTHSC Brain mRNA U74Av2 (Mar03) MAS5 | Brain U74Av2 03/03 MAS5 | 2003-03-01 | NULL | 0 | 0 | NULL | log2 |
| 4 | 5 | 1 | Br_U_0503_M | BXDMicroArray_ProbeSet_May03 | UTHSC Brain mRNA U74Av2 (May03) MAS5 | Brain U74Av2 05/03 MAS5 | 2003-05-01 | NULL | 0 | 0 | NULL | log2 |
| 5 | 4 | 1 | HC_U_0303_M | GNFMicroArray_ProbeSet_March03 | GNF Hematopoietic Cells U74Av2 (Mar03) MAS5 | GNF U74Av2 03/03 MAS5 | 2003-03-01 | NULL | 0 | 0 | NULL | log2 |
+----+---------------+-------+-------------+---------------------------------+---------------------------------------------+-------------------------+------------+-----------+--------+-----------------+-----------------+-----------+
select * from ProbeSetXRef limit 5;
+------------------+------------+--------+------------+--------------------+------------+-------------------+---------------------+-----------------+--------------------+--------+----------------------+------+
| ProbeSetFreezeId | ProbeSetId | DataId | Locus_old | LRS_old | pValue_old | mean | se | Locus | LRS | pValue | additive | h2 |
+------------------+------------+--------+------------+--------------------+------------+-------------------+---------------------+-----------------+--------------------+--------+----------------------+------+
| 1 | 1 | 1 | 10.095.400 | 13.3971627898894 | 0.163 | 5.48794285714286 | 0.08525787814808819 | rs13480619 | 12.590069931048001 | 0.269 | -0.28515625 | NULL |
| 1 | 2 | 2 | D15Mit189 | 10.042057464356201 | 0.431 | 9.90165714285714 | 0.0374686634976217 | CEL-17_50896182 | 10.5970737900941 | 0.304 | -0.11678333333333299 | NULL |
| 1 | 3 | 3 | D5Mit139 | 5.43678531742749 | 0.993 | 7.83948571428571 | 0.0457583416912569 | rs13478499 | 6.0970532702754 | 0.988 | 0.112957489878542 | NULL |
| 1 | 4 | 4 | D1Mit511 | 9.87815279480766 | 0.483 | 8.315628571428569 | 0.0470396593931327 | rs6154379 | 11.774867551173099 | 0.286 | -0.157113725490196 | NULL |
| 1 | 5 | 5 | D16H21S16 | 10.191723834264499 | 0.528 | 9.19345714285714 | 0.0354801718293322 | rs4199265 | 10.923263374016202 | 0.468 | 0.11476470588235299 | NULL |
+------------------+------------+--------+------------+--------------------+------------+-------------------+---------------------+-----------------+--------------------+--------+----------------------+------+
Note that the following unlimited search is very slow:
select max(value) from ProbeSetData;
+------------+
| max(value) |
+------------+
| 26436006 |
+------------+
1 row in set (2 min 16.31 sec)
which is in some form is used in the search page, see [[https://github.com/genenetwork/genenetwork2_diet/blob/master/wqflask/wqflask/do_search.py#L811][the search code]].
*** Improvements?
Suggestions on the schema page:
"StrainId" should be "CaseId" or "SampleId".
"ProbeSetData" should probably be "AssayData" or something more neutral.
*** Comments
I think the ProbeSetData table should be generalized to a 'phenotypes'
table with an 'sample_id' column and a 'value' column.
A new table 'samples' will link each sample against an 'experiment',
an 'individual' and which in turn can link to a 'strain'.
Experiment is here in a wide sense, GTex can be one - I don't want to
use dataset ;)
This means a (slight) reordering:
phenotypes: (id), sample_id, value
samples: experiment_id, individual_id
experiments: name, version
individual: strain_id
strains: species_id
species: ...
ProbeData is also interesting, because it has the same structure as
ProbeSetData, but only contains microarrays. This tables should be one
(when we clear up the cross-referencing) as they both contain
phenotype values. Both are large tables.
PublishData is another phenotype table with values only which can be
merged into that same table.
So we have phenotype data in 3 tables with exactly the same
layout. There is also TissueProbeSet*, but we'll ignore those for
now. I think we should merge these into one and have the sample ref
refer to the type of data (probeset, probe, metabolomics,
whatever). These are all phenotype values and by having them split
into different tables they won't play well when looking for
correlations.
ProbeSet contains the metadata on the probes and should (eventually)
move into NoSQL. There is plenty redundancy in that table now.
I know it is going to be a pain to reorganize the database, but if we
want to use it in the long run we are going to have to simplify it.
** ProbeSetFreeze and ProbeFreeze (/dataset/name.json)
GN_SERVER: /dataset/HC_M2_0606_P.json
ProbesetFreeze contains DataSet information, such as name, fullname of
datasets, as well as whether they are public and how the data is
scaled:
select * from ProbeSetFreeze;
| Id | ProbeFreezeId | AvgID | Name | Name2 | FullName | ShortName | CreateTime | OrderList | public | confidentiality | AuthorisedUsers | DataScale |
| 112 | 30 | 2 | HC_M2_0606_P | Hippocampus_M430_V2_BXD_PDNN_Jun06 | Hippocampus Consortium M430v2 (Jun06) PDNN | Hippocampus M430v2 BXD 06/06 PDNN | 2006-06-23 | NULL | 2 | 0 | NULL | log2 |
Another table contains a tissue reference and a back reference to the cross
type:
select * from ProbeFreeze;
| Id | ProbeFreezeId | ChipId | TissueId | Name | FullName | ShortName | CreateTime | InbredSetId |
| 30 | 30 | 4 | 9 | Hippocampus Consortium M430v2 Probe (Jun06) | | | 2006-07-07 | 1 |
NOTE: these tables can probably be merged into one.
show indexes from ProbeSetFreeze;
+----------------+------------+-----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+----------------+------------+-----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| ProbeSetFreeze | 0 | PRIMARY | 1 | Id | A | 2 | NULL | NULL | | BTREE | | |
| ProbeSetFreeze | 0 | FullName | 1 | FullName | A | 2 | NULL | NULL | | BTREE | | |
| ProbeSetFreeze | 0 | Name | 1 | Name | A | 2 | NULL | NULL | YES | BTREE | | |
| ProbeSetFreeze | 1 | NameIndex | 1 | Name2 | A | 2 | NULL | NULL | | BTREE | | |
+----------------+------------+-----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
** ProbeSetSE
select * from ProbeSetSE limit 5;
+--------+----------+----------+
| DataId | StrainId | error |
+--------+----------+----------+
| 1 | 1 | 0.681091 |
| 1 | 2 | 0.361151 |
| 1 | 3 | 0.364342 |
| 1 | 4 | 0.827588 |
| 1 | 5 | 0.303492 |
+--------+----------+----------+
** Publication
Publication:
| Id | PubMed_ID | Abstract | Title | Pages | Month | Year |
** Publishdata (all pheno)
One of three phenotype tables.
mysql> select * from PublishData limit 5;
+---------+----------+-------+
| Id | StrainId | value |
+---------+----------+-------+
| 8966353 | 349 | 29.6 |
| 8966353 | 350 | 27.8 |
| 8966353 | 351 | 26.6 |
| 8966353 | 352 | 28.5 |
| 8966353 | 353 | 24.6 |
+---------+----------+-------+
5 rows in set (0.25 sec)
See below for phenotype access.
** QuickSearch
No longer used
** role
empty
** Sample*
No longer used
** Species & Strain (should be sample)
select * from Species;
+----+-----------+----------------------+----------------+----------------------+-------------------------+------------+---------+
| Id | SpeciesId | SpeciesName | Name | MenuName | FullName | TaxonomyId | OrderId |
+----+-----------+----------------------+----------------+----------------------+-------------------------+------------+---------+
| 1 | 1 | Mouse | mouse | Mouse | Mus musculus | 10090 | 30 |
| 2 | 2 | Rat | rat | Rat | Rattus norvegicus | 10116 | 40 |
| 3 | 3 | Arabidopsis thaliana | arabidopsis | Arabidopsis thaliana | Arabidopsis thaliana | 3702 | 60 |
| 4 | 4 | Human | human | Human | Homo sapiens | 9606 | 10 |
| 5 | 5 | Barley | barley | Barley | Hordeum vulgare | 4513 | 70 |
| 6 | 6 | Drosophila | drosophila | Drosophila | Drosophila melanogaster | 7227 | 50 |
| 7 | 7 | Macaque monkey | macaque monkey | Macaque monkey | Macaca mulatta | 9544 | 20 |
| 8 | 8 | Soybean | soybean | Soybean | Soybean | 3847 | 80 |
| 9 | 9 | Tomato | tomato | Tomato | Tomato | 4081 | 90 |
+----+-----------+----------------------+----------------+----------------------+-------------------------+------------+---------+
** InbredSet
Menu
** TableComments
Metadata on DB
** Temp*
User upload data
** Tissue
Menu - 3rd level
** TissueP*
Correlation tables
** User collection
User selection - retained
** UserPrivilege
** Vlookup
* Fetching Data
** Search
What happens at the main search menu can be emulated with curl.
*** Search Mouse mRNA from HC_M2_0606_P dataset
: curl "http://localhost:5003/search?species=mouse&group=BXD&ppocampus+mRNA&dataset=HC_M2_0606_P&search_terms_or=&search_terms_and=MEAN%3D%2815+16%29+LRS%3D%2823+46%29+&FormID=searchResult"
the first SQL query checks whether a dataset is confidential or not ayd
fetches full name info
INFO:base.data_set:.sql: geno_mrna_confidentiality: u'SELECT Id, Name,
FullName, confidentiality,AuthorisedUsers FROM ProbeSetFreeze WHERE
Name = "HC_M2_0606_P"'
The following is executed once per search:
INFO:db.call:.sql: retrieve_other_names:
SELECT ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.FullName, ProbeSetFreeze.ShortName, ProbeSetFreeze.DataScale, Tissue.Name
FROM ProbeSetFreeze, ProbeFreeze, Tissue
WHERE ProbeSetFreeze.public > 0 AND
ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id AND
ProbeFreeze.TissueId = Tissue.Id AND
(ProbeSetFreeze.Name = 'HC_M2_0606_P' OR ProbeSetFreeze.FullName = 'HC_M2_0606_P' OR ProbeSetFreeze.ShortName = 'HC_M2_0606_P')
INFO:db.call:.sql: (112, 'HC_M2_0606_P', 'Hippocampus Consortium M430v2 (Jun06) PDNN', 'Hippocampus M430v2 BXD 06/06 PDNN', 'log2', 'Hippocampus mRNA')
INFO:db.call:.sql: __init__:
SELECT
InbredSet.Name, InbredSet.Id
FROM
InbredSet, ProbeSetFreeze, ProbeFreeze
WHERE
ProbeFreeze.InbredSetId = InbredSet.Id AND
ProbeFreeze.Id = ProbeSetFreeze.ProbeFreezeId AND
ProbeSetFreeze.Name = "HC_M2_0606_P"
INFO:db.call:.sql: ('BXD', 1)
The actual search is
SELECT distinct ProbeSet.Name as TNAME, 0 as thistable,
ProbeSetXRef.Mean as TMEAN, ProbeSetXRef.LRS as TLRS,
ProbeSetXRef.PVALUE as TPVALUE, ProbeSet.Chr_num as TCHR_NUM,
ProbeSet.Mb as TMB, ProbeSet.Symbol as TSYMBOL,
ProbeSet.name_num as TNAME_NUM
FROM ProbeSetXRef, ProbeSet
WHERE ProbeSet.Id = ProbeSetXRef.ProbeSetId
and ProbeSetXRef.ProbeSetFreezeId = 112
ORDER BY ProbeSet.symbol ASC limit 5;
INFO:base.species:.sql: __init__:
Select
Chr_Length.Name, Chr_Length.OrderId, Length from Chr_Length, InbredSet
where
Chr_Length.SpeciesId = InbredSet.SpeciesId AND
InbredSet.Name = 'BXD'
Order by OrderId
And the following are executed for every trait:
INFO:wqflask.do_search:.sql: execute: SELECT distinct ProbeSet.Name as TNAME, 0 as thistable, ProbeSetXRef.Mean as TMEAN, ProbeSetXRef.LRS as TLRS, ProbeSetXRef.PVALUE as TPVALUE, ProbeSet.Chr_num as TCHR_NUM, ProbeSet.Mb as TMB, ProbeSet.Symbol as TSYMBOL, ProbeSet.name_num as TNAME_NUM FROM ProbeSetXRef, ProbeSet WHERE (( ProbeSetXRef.mean > 15.0 and ProbeSetXRef.mean < 16.0 )AND( ProbeSetXRef.LRS > 23.0 and ProbeSetXRef.LRS < 46.0 )) and ProbeSet.Id = ProbeSetXRef.ProbeSetId and ProbeSetXRef.ProbeSetFreezeId = 112 ORDER BY ProbeSet.symbol ASC
INFO:base.trait:.sql: retrieve_info: SELECT ProbeSet.name,
ProbeSet.symbol, ProbeSet.description,
ProbeSet.probe_target_description, ProbeSet.chr,
ProbeSet.mb, ProbeSet.alias, ProbeSet.geneid,
ProbeSet.genbankid, ProbeSet.unigeneid,
ProbeSet.omim, ProbeSet.refseq_transcriptid,
ProbeSet.blatseq, ProbeSet.targetseq,
ProbeSet.chipid, ProbeSet.comments,
ProbeSet.strand_probe, ProbeSet.strand_gene,
ProbeSet.probe_set_target_region,
ProbeSet.probe_set_specificity,
ProbeSet.probe_set_blat_score,
ProbeSet.probe_set_blat_mb_start,
ProbeSet.probe_set_blat_mb_end,
ProbeSet.probe_set_strand,
ProbeSet.probe_set_note_by_rw, ProbeSet.flag
FROM ProbeSet, ProbeSetFreeze, ProbeSetXRef
WHERE
ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND
ProbeSetXRef.ProbeSetId = ProbeSet.Id AND
ProbeSetFreeze.Name = 'HC_M2_0606_P' AND
ProbeSet.Name = '1443823_s_at'
INFO:base.trait:.sql: retrieve_info:
SELECT
HomologeneId
FROM
Homologene, Species, InbredSet
WHERE
Homologene.GeneId =98660 AND
InbredSet.Name = 'BXD' AND
InbredSet.SpeciesId = Species.Id AND
Species.TaxonomyId = Homologene.TaxonomyId
INFO:base.trait:.sql: retrieve_info:
SELECT
ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.mean, ProbeSetXRef.additive
FROM
ProbeSetXRef, ProbeSet
WHERE
ProbeSetXRef.ProbeSetId = ProbeSet.Id AND
ProbeSet.Name = "1443823_s_at" AND
ProbeSetXRef.ProbeSetFreezeId =112
INFO:base.trait:.sql: retrieve_info:
select Geno.Chr, Geno.Mb from Geno, Species
where Species.Name = 'mouse' and
Geno.Name = 'NES13033186' and
Geno.SpeciesId = Species.Id
and finally mean and chromosome positions are fetched a second time
for every trait with
INFO:base.data_set:.sql: get_trait_info: select ProbeSetXRef.mean from ProbeSetXRef, ProbeSet
where ProbeSetXRef.ProbeSetFreezeId = 112 and
ProbeSet.Id = ProbeSetXRef.ProbeSetId and
ProbeSet.Name = '1443823_s_at'
INFO:base.data_set:.sql: get_trait_info:
select Geno.Chr, Geno.Mb from Geno, Species
where Species.Name = 'mouse' and
Geno.Name = 'NES13033186' and
Geno.SpeciesId = Species.Id
(that is a bug!).
** Fetch phenotype information
*** Through the trait page
When hitting the trait page, e.g.
curl "http://localhost:5003/show_trait?trait_id=1443823_s_aet=HC_M2_0606_P"
First the BXD's are queried with
DEBUG:base.data_set:.get_samplelist: Sample list: : ['BXD1',
'BXD2',
'BXD5',
...
main probeset info (trait) is retrieved with
SELECT ProbeSet.name, ProbeSet.symbol, ProbeSet.description, ProbeSet.probe_target_description, ProbeSet.chr, ProbeSet.mb, ProbeSet.alias, ProbeSet.geneid, ProbeSet.genbankid, ProbeSet.unigeneid, ProbeSet.omim, ProbeSet.refseq_transcriptid, ProbeSet.blatseq, ProbeSet.targetseq, ProbeSet.chipid, ProbeSet.comments, ProbeSet.strand_probe, ProbeSet.strand_gene, ProbeSet.probe_set_target_region, ProbeSet.probe_set_specificity, ProbeSet.probe_set_blat_score, ProbeSet.probe_set_blat_mb_start, ProbeSet.probe_set_blat_mb_end, ProbeSet.probe_set_strand, ProbeSet.probe_set_note_by_rw, ProbeSet.flag
FROM ProbeSet, ProbeSetFreeze, ProbeSetXRef
WHERE
ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND
ProbeSetXRef.ProbeSetId = ProbeSet.Id AND
ProbeSetFreeze.Name = 'HC_M2_0606_P' AND
ProbeSet.Name = '1443823_s_at'
Followed by
INFO:base.trait:.sql: retrieve_info:
SELECT
ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.mean, ProbeSetXRef.additive
FROM
ProbeSetXRef, ProbeSet
WHERE
ProbeSetXRef.ProbeSetId = ProbeSet.Id AND
ProbeSet.Name = "1443823_s_at" AND
ProbeSetXRef.ProbeSetFreezeId =112
| Locus | LRS | pValue | mean | additive |
| NES13033186 | 35.466324074542 | 0.00000900000000003676 | 15.0551313131313 | -0.16750405405405402 |
Then the interesting bit, the sample data is fetched with
INFO:base.data_set:.sql: retrieve_sample_data:
SELECT
Strain.Name, ProbeSetData.value, ProbeSetSE.error, ProbeSetData.Id, Strain.Name2
FROM
(ProbeSetData, ProbeSetFreeze, Strain, ProbeSet, ProbeSetXRef)
left join ProbeSetSE on
(ProbeSetSE.DataId = ProbeSetData.Id AND ProbeSetSE.StrainId = ProbeSetData.StrainId)
WHERE
ProbeSet.Name = '1443823_s_at' AND ProbeSetXRef.ProbeSetId = ProbeSet.Id AND
ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND
ProbeSetFreeze.Name = 'HC_M2_0606_P' AND
ProbeSetXRef.DataId = ProbeSetData.Id AND
ProbeSetData.StrainId = Strain.Id
Order BY
Strain.Name
| Name | value | error | Id | Name2 |
| 129S1/SvImJ | 14.552 | NULL | 23422417 | 129S1/SvImJ |
| A/J | 14.34 | NULL | 23422417 | A/J |
| AKR/J | 14.338 | NULL | 23422417 | AKR/J |
| B6D2F1 | 15.251 | NULL | 23422417 | B6D2F1 |
| BALB/cByJ | 14.164 | NULL | 23422417 | BALB/cByJ |
| BALB/cJ | 14.563 | NULL | 23422417 | BALB/cJ |
| BXD1 | 15.198 | NULL | 23422417 | BXD1 |
| BXD11 | 15.084 | NULL | 23422417 | BXD11 |
| BXD12 | 15.192 | NULL | 23422417 | BXD12 |
etc.
Then some repeated queries and this fetchest the nearest SNP
INFO:wqflask.show_trait.show_trait:.sql: get_nearest_marker:
SELECT Geno.Name FROM Geno, GenoXRef, GenoFreeze WHERE Geno.Chr = '1'
AND GenoXRef.GenoId = Geno.Id AND GenoFreeze.Id =
GenoXRef.GenoFreezeId AND GenoFreeze.Name = 'BXDGeno' ORDER BY ABS(
Geno.Mb - 173.149434) limit 1;
| Name |
| NES13033186 |
*** Digging deeper
To get at phenotype data ProbeSetData is the main table (almost all
important molecular assay data is in this table including probe set
data, RNA-seq data, proteomic data, and metabolomic data. 2.5 billion
rows March 2016)
select count(*) from ProbeSetData limit 5;
+---------------+
| count(*) |
+---------------+
| 2,510,566,472 |
+---------------+
select * from ProbeSetData limit 5;
+----+----------+-------+
| Id | StrainId | value |
+----+----------+-------+
| 1 | 1 | 5.742 |
| 1 | 2 | 5.006 |
| 1 | 3 | 6.079 |
| 1 | 4 | 6.414 |
| 1 | 5 | 4.885 |
+----+----------+-------+
This table is used in
: wqflask/base/do_search.py
: wqflask/base/data_set.py
: wqflask/utility/AJAX_table.py
: wqflask/wqflask/correlation/show_corr_results.py
In there we find 'ProbeSetData.Id = ProbeSetXRef.dataId'.
select * from ProbeSetXRef limit 5;
+------------------+------------+--------+------------+--------------------+------------+-------------------+---------------------+-----------------+--------------------+--------+----------------------+------+
| ProbeSetFreezeId | ProbeSetId | DataId | Locus_old | LRS_old | pValue_old | mean | se | Locus | LRS | pValue | additive | h2 |
+------------------+------------+--------+------------+--------------------+------------+-------------------+---------------------+-----------------+--------------------+--------+----------------------+------+
| 1 | 1 | 1 | 10.095.400 | 13.3971627898894 | 0.163 | 5.48794285714286 | 0.08525787814808819 | rs13480619 | 12.590069931048001 | 0.269 | -0.28515625 | NULL |
| 1 | 2 | 2 | D15Mit189 | 10.042057464356201 | 0.431 | 9.90165714285714 | 0.0374686634976217 | CEL-17_50896182 | 10.5970737900941 | 0.304 | -0.11678333333333299 | NULL |
| 1 | 3 | 3 | D5Mit139 | 5.43678531742749 | 0.993 | 7.83948571428571 | 0.0457583416912569 | rs13478499 | 6.0970532702754 | 0.988 | 0.112957489878542 | NULL |
| 1 | 4 | 4 | D1Mit511 | 9.87815279480766 | 0.483 | 8.315628571428569 | 0.0470396593931327 | rs6154379 | 11.774867551173099 | 0.286 | -0.157113725490196 | NULL |
| 1 | 5 | 5 | D16H21S16 | 10.191723834264499 | 0.528 | 9.19345714285714 | 0.0354801718293322 | rs4199265 | 10.923263374016202 | 0.468 | 0.11476470588235299 | NULL |
+------------------+------------+--------+------------+--------------------+------------+-------------------+---------------------+-----------------+--------------------+--------+----------------------+------+
i.e., for Strain Id 1 (DataId) 1, the locus '10.095.400' has a
phenotype value of 5.742.
Interestingly ProbeData and PublishData have the same layout as
ProbeSetData. ProbeData is only in use for Affy assays - and not used
for computations. PublishData contains trait values. ProbeSetData.id
matches ProbeSetXRef.DataId while PublishData.id matches
PublishXRef.DataId.
select * from PublishXRef limit 3;
+-------+-------------+-------------+---------------+---------+----------------+------------------+-----------+----------+-------------------------------------------------------+
| Id | InbredSetId | PhenotypeId | PublicationId | DataId | Locus | LRS | additive | Sequence | comments |
+-------+-------------+-------------+---------------+---------+----------------+------------------+-----------+----------+-------------------------------------------------------+
| 10001 | 8 | 1 | 1 | 8966353 | D2Mit5 | 10.18351644706 | -1.20875 | 1 | |
| 10001 | 7 | 2 | 53 | 8966813 | D7Mit25UT | 9.85534330983917 | -2.86875 | 1 | |
| 10001 | 4 | 3 | 81 | 8966947 | CEL-6_57082524 | 11.7119505898121 | -23.28875 | 1 | elissa modified Abstract at Tue Jun 7 11:38:00 2005 |
+-------+-------------+-------------+---------------+---------+----------------+------------------+-----------+----------+-------------------------------------------------------+
3 rows in set (0.00 sec)
ties the trait data (PublishData) with the inbredsetid (matching
PublishFreeze.InbredSetId), locus and publication.
select * from PublishFreeze -> ;
+----+------------+--------------------------+-------------+------------+--------+-------------+-----------------+-----------------+
| Id | Name | FullName | ShortName | CreateTime | public | InbredSetId | confidentiality | AuthorisedUsers |
+----+------------+--------------------------+-------------+------------+--------+-------------+-----------------+-----------------+
| 1 | BXDPublish | BXD Published Phenotypes | BXDPublish | 2004-07-17 | 2 | 1 | 0 | NULL |
| 18 | HLCPublish | HLC Published Phenotypes | HLC Publish | 2012-02-20 | 2 | 34 | 0 | NULL |
+----+------------+--------------------------+-------------+------------+--------+-------------+-----------------+-----------------+
2 rows in set (0.02 sec)
which gives us the datasets.
GeneNetwork1 has a limited REST interface, if you do
: curl "http://robot.genenetwork.org/webqtl/main.py?cmd=get&probeset=1443823_s_at&db=HC_M2_0606_P"
we get
: ProbeSetID B6D2F1 C57BL/6J DBA/2J BXD1 BXD2 BXD5 BXD6 BXD8 BXD9 BXD11 BXD12 BXD13 BXD15 BXD16 BXD19 BXD20 BXD21 BXD22 BXD23 BXD24 BXD27 BXD28 BXD29 BXD31 BXD32 BXD33 BXD34 BXD38 BXD39 BXD40 BXD42 BXD67 BXD68 BXD43 BXD44 BXD45 BXD48 BXD50 BXD51 BXD55 BXD60 BXD61 BXD62 BXD63 BXD64 BXD65 BXD66 BXD69 BXD70 BXD73 BXD74 BXD75 BXD76 BXD77 BXD79 BXD73a BXD83 BXD84 BXD85 BXD86 BXD87 BXD89 BXD90 BXD65b BXD93 BXD94 A/J AKR/J C3H/HeJ C57BL/6ByJ CXB1 CXB2 CXB3 CXB4 CXB5 CXB6 CXB7 CXB8 CXB9 CXB10 CXB11 CXB12 CXB13 BXD48a 129S1/SvImJ BALB/cJ BALB/cByJ LG/J NOD/ShiLtJ PWD/PhJ BXD65a BXD98 BXD99 CAST/EiJ KK/HlJ WSB/EiJ NZO/HlLtJ PWK/PhJ D2B6F1
: 1443823_s_at 15.251 15.626 14.716 15.198 14.918 15.057 15.232 14.968 14.87 15.084 15.192 14.924 15.343 15.226 15.364 15.36 14.792 14.908 15.344 14.948 15.08 15.021 15.176 15.14 14.796 15.443 14.636 14.921 15.22 15.62 14.816 15.39 15.428 14.982 15.05 15.13 14.722 14.636 15.242 15.527 14.825 14.416 15.125 15.362 15.226 15.176 15.328 14.895 15.141 15.634 14.922 14.764 15.122 15.448 15.398 15.089 14.765 15.234 15.302 14.774 14.979 15.212 15.29 15.012 15.041 15.448 14.34 14.338 14.809 15.046 14.816 15.232 14.933 15.255 15.21 14.766 14.8 15.506 15.749 15.274 15.599 15.673 14.651 14.692 14.552 14.563 14.164 14.546 15.044 14.695 15.162 14.772 14.645 15.493 14.75 14.786 15.003 15.148 15.221
(see https://github.com/genenetwork/gn_server/blob/master/doc/API.md
for the latest REST API).
getTraitData is defined in the file [[https://github.com/genenetwork/genenetwork/blob/master/web/webqtl/textUI/cmdClass.py#L134][web/webqtl/textUI/cmdClass.py]].
probe is None, so the code at line 199 is run
query = "SELECT Strain.Name, %sData.value from %sData, Strain, %s,
%sXRef WHERE %s.Name = '%s' and %sXRef.%sId = %s.Id and
%sXRef.%sFreezeId = %d and %sXRef.DataId = %sData.Id and
%sData.StrainId = Strain.Id order by Strain.Id" % (prefix, prefix,
prefix, prefix, prefix, probeset,prefix, prefix, prefix, prefix,
prefix, dbId, prefix, prefix, prefix)
where prefix is ProbeSet (one presumes). So, let's see if we can do this by hand
SELECT Strain.Name, ProbeSetData.value from ProbeSetData, Strain, ProbeSet,
ProbeSetXRef WHERE ProbeSet.Name = '1443823_s_at' and ProbeSetXRef.ProbeSetId = ProbeSet.Id and
ProbeSetXRef.ProbeSetFreezeId = $dbid and ProbeSetXRef.DataId = ProbeSetData.Id and
ProbeSetData.StrainId = Strain.Id ORDER BY Strain.Id
The $dbid is listed in the ProbeSetFreeze table,
SELECT ProbeFreezeId,Name FROM ProbeSetFreeze WHERE Name='HC_M2_0606_P' limit 5;
+---------------+--------------+
| ProbeFreezeId | Name |
+---------------+--------------+
| 30 | HC_M2_0606_P |
+---------------+--------------+
select id,name from ProbeSet WHERE Name = '1443823_s_at' limit 5;
+--------+--------------+
| id | name |
+--------+--------------+
| 106556 | 1443823_s_at |
+--------+--------------+
So
query = "SELECT Strain.Name, %sData.value from %sData, Strain, %s,
%sXRef WHERE %s.Name = '%s' and %sXRef.%sId = %s.Id and
%sXRef.%sFreezeId = %d and %sXRef.DataId = %sData.Id and
%sData.StrainId = Strain.Id order by Strain.Id" % (prefix, prefix,
prefix, prefix, prefix, probeset,prefix, prefix, prefix, prefix,
prefix, dbId, prefix, prefix, prefix)
CORRECT NAME:
SELECT Strain.Name, ProbeSetData.value from ProbeSetData, Strain,
ProbeSet, ProbeSetXRef WHERE ProbeSet.Name = 'at_probe' and
ProbeSetXRef.ProbeSetId = ProbeSet.Id and
ProbeSetXRef.ProbeSetFreezeId = dbid and ProbeSetXRef.DataId =
ProbeSetData.Id and ProbeSetData.StrainId = Strain.Id order by
Strain.Id
select * from ProbeSetXRef WHERE probesetfreezeid=30 limit 5;
+------------------+------------+--------+------------+--------------------+------------+--------------------+--------------------+-----------------+--------------------+--------+-------------------+------+
| ProbeSetFreezeId | ProbeSetId | DataId | Locus_old | LRS_old | pValue_old | mean | se | Locus | LRS | pValue | additive | h2 |
+------------------+------------+--------+------------+--------------------+------------+--------------------+--------------------+-----------------+--------------------+--------+-------------------+------+
| 30 | 1 | 445962 | 01.059.350 | 7.1753152078069595 | 0.961 | 30.0646 | 1.79763935596594 | rs13475891 | 7.1753152078069204 | 0.973 | 4.71778125 | NULL |
| 30 | 2 | 445963 | D4Mit156 | 7.58944292943285 | 0.724 | 232.38328571428602 | 9.00278909374791 | CEL-4_118751423 | 7.57513435426218 | 0.793 | 25.2660951417004 | NULL |
| 30 | 3 | 445964 | D1Mit134 | 9.766065497826819 | 0.737 | 47.206 | 1.58413526287766 | mCV23431007 | 9.76606549782677 | 0.797 | -4.82405952380952 | NULL |
| 30 | 4 | 445965 | D1Mit155 | 18.0045829157241 | 0.033 | 132.29248571428602 | 4.37799472291842 | rs3689947 | 17.9365068406286 | 0.049 | -16.945619047619 | NULL |
| 30 | 5 | 445966 | D5Mit197 | 9.51068902627823 | 0.476 | 271.309971428571 | 7.4294268316065395 | rs6239372 | 10.4214974316601 | 0.41 | -25.6148045454546 | NULL |
+------------------+------------+--------+------------+--------------------+------------+--------------------+--------------------+-----------------+--------------------+--------+-------------------+------+
So, apparently ProbeSetFreezeID points to the database identifier in
ProbeSetFreeze which has the name of the 'DB'. OK, that kinda makes
sense now. Meanwhile Probeset.name points to the phenotype name.
ProbeSetXRef binds these tables together. Finally there is the data in
select * from ProbeSetData limit 5;
+----+----------+-------+
| Id | StrainId | value |
+----+----------+-------+
| 1 | 1 | 5.742 |
| 1 | 2 | 5.006 |
| 1 | 3 | 6.079 |
| 1 | 4 | 6.414 |
| 1 | 5 | 4.885 |
+----+----------+-------+
5 rows in set (0.00 sec)
linked by ProbeSetXRef.dataid.
*** For PublishData:
List datasets for BXD (InbredSetId=1):
select * from PublishXRef where InbredSetId=1 limit 3;
+-------+-------------+-------------+---------------+---------+-----------+------------------+------------------+----------+--------------------------------------------------------------------------------+
| Id | InbredSetId | PhenotypeId | PublicationId | DataId | Locus | LRS | additive | Sequence | comments |
+-------+-------------+-------------+---------------+---------+-----------+------------------+------------------+----------+--------------------------------------------------------------------------------+
| 10001 | 1 | 4 | 116 | 8967043 | rs8253516 | 13.4974914158039 | 2.39444444444444 | 1 | robwilliams modified post_publication_description at Mon Jul 30 14:58:10 2012
|
| 10002 | 1 | 10 | 116 | 8967044 | rs3666069 | 22.0042692151629 | 2.08178571428572 | 1 | robwilliams modified phenotype at Thu Oct 28 21:43:28 2010
|
| 10003 | 1 | 15 | 116 | 8967045 | D18Mit4 | 15.5929163293343 | 19.0882352941176 | 1 | robwilliams modified phenotype at Mon May 23 20:52:19 2011
|
+-------+-------------+-------------+---------------+---------+-----------+------------------+------------------+----------+--------------------------------------------------------------------------------+
where ID is the 'record' or, effectively, dataset.
select distinct(publicationid) from PublishXRef where InbredSetId=1 limit 3;
+---------------+
| publicationid |
+---------------+
| 116 |
| 117 |
| 118 |
+---------------+
select distinct PublishXRef.id,publicationid,phenotypeid,Phenotype.post_publication_description from PublishXRef,Phenotype where InbredSetId=1 and phenotypeid=Phenotype.id limit 3;
+-------+---------------+-------------+----------------------------------------------------------------------------------------------------------------------------+
| id | publicationid | phenotypeid | post_publication_description |
+-------+---------------+-------------+----------------------------------------------------------------------------------------------------------------------------+
| 10001 | 116 | 4 | Central nervous system, morphology: Cerebellum weight [mg] |
| 10002 | 116 | 10 | Central nervous system, morphology: Cerebellum weight after adjustment for covariance with brain size [mg] |
| 10003 | 116 | 15 | Central nervous system, morphology: Brain weight, male and female adult average, unadjusted for body weight, age, sex [mg] |
+-------+---------------+-------------+----------------------------------------------------------------------------------------------------------------------------+
The id field is the same that is used in the GN2 web interface and the
PublicationID ties the datasets together.
To list trait values:
SELECT Strain.Name, PublishData.id, PublishData.value from
(Strain,PublishData, PublishXRef) Where PublishData.StrainId =
Strain.id limit 3;
+------+---------+-------+
| Name | id | value |
+------+---------+-------+
| CXB1 | 8966353 | 29.6 |
| CXB1 | 8966353 | 29.6 |
| CXB1 | 8966353 | 29.6 |
+------+---------+-------+
here id should match dataid again:
SELECT Strain.Name, PublishData.id, PublishData.value from
(Strain,PublishData, PublishXRef) Where PublishData.StrainId =
Strain.id and PublishXRef.dataid=8967043 and
PublishXRef.dataid=PublishData.id limit 3;
+------+---------+-------+
| Name | id | value |
+------+---------+-------+
| BXD1 | 8967043 | 61.4 |
| BXD2 | 8967043 | 49 |
| BXD5 | 8967043 | 62.5 |
+------+---------+-------+
*** Datasets
The REST API aims to present a unified interface for genotype and
phenotype data. Phenotype datasets appear in two major forms in the
database and we want to present them as one resource.
Dataset names are defined in ProbeSetFreeze.name and Published.id ->
publication (we'll ignore the probe dataset that uses
ProbeFreeze.name). These tables should be meshed. It looks like the
ids are non-overlapping with the publish record IDs starting at 10,001
(someone has been smart, though it sets the limit of probesets now to
10,000).
The datasets are organized differently in these tables. All published
BXD data is grouped on BXDpublished with the publications as
'datasets'. So, that is how we list them in the REST API.
To fetch all the datasets we first list ProbeSetFreeze entries. Then
we list the Published entries.
** Fetch genotype information
*** SNPs
The SNP count info for the BXD is calculated like this
#+begin_src python
while startMb<endMb:
snp_count = g.db.execute("""
select
count(*) from BXDSnpPosition
where
Chr = '%s' AND Mb >= %2.6f AND Mb < %2.6f AND
StrainId1 = %d AND StrainId2 = %d
""" % (chrName, startMb, startMb+stepMb, strainId1, strainId2)).fetchone()[0]
SNPCounts.append(snp_count)
startMb += stepMb
#+end_src
select * from BXDSnpPosition limit 5;
+------+-----------+-----------+----------+
| Chr | StrainId1 | StrainId2 | Mb |
+------+-----------+-----------+----------+
| 1 | 2 | 3 | 0.002477 |
| 1 | 2 | 3 | 0.002592 |
| 1 | 2 | 3 | 0.00283 |
| 1 | 2 | 3 | 0.002994 |
| 1 | 2 | 3 | 0.003299 |
+------+-----------+-----------+----------+
Other SNP tables containing
select * from SnpSource limit 5;
Empty set (0.00 sec)
select * from SnpAll limit 5;
Empty set (0.00 sec)
mysql> select * from SnpAll limit 5;
Empty set (0.00 sec)
mysql> select * from SnpPattern limit 5;
Empty set (0.00 sec)
mysql> select * from SnpSource limit 5;
Empty set (0.00 sec)
Hmmm. This is the test database. Then there are the plink files and VCF files.
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