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-rw-r--r--doc/Architecture.org135
-rw-r--r--doc/README.org46
-rw-r--r--doc/database.org207
3 files changed, 354 insertions, 34 deletions
diff --git a/doc/Architecture.org b/doc/Architecture.org
index ed19889c..04e05e40 100644
--- a/doc/Architecture.org
+++ b/doc/Architecture.org
@@ -1,19 +1,20 @@
-* GeneNetwork Architecture
-
#+TITLE: Installing GeneNetwork services
* Table of Contents :TOC:
- - [[#genenetwork-architecture][GeneNetwork Architecture]]
- - [[#introduction][Introduction]]
- - [[#webserver][Webserver]]
- - [[#gnserver-rest][GnServer (REST)]]
+ - [[#introduction][Introduction]]
+ - [[#webserver][Webserver]]
+ - [[#gnserver-rest][GnServer (REST)]]
+ - [[#gnexec][GnExec]]
+ - [[#database][Database]]
+ - [[#phenotypes][Phenotypes]]
+ - [[#genotypes][Genotypes]]
-** Introduction
+* Introduction
This document describes the architecture of GN2. Because GN2 is
evolving, only a high-level overview is given here.
-** Webserver
+* Webserver
The main [[https://github.com/genenetwork/genenetwork2][GN2 webserver]] is built on [[http://flask.pocoo.org/][Python flask]] and this GN2 source
code can be found on [[https://github.com/genenetwork/genenetwork2/tree/master/wqflask/wqflask][github]] in the wqflask directory. The routing
@@ -44,7 +45,7 @@ Consortium M430v2 (Jun06) PDNN to find all records with MEAN between
15 and 16 and with LRS between 23 and 46.'. Then the results are added
to a table which is displayed using a JS [[https://datatables.net/][DataTable container]].
-** GnServer (REST)
+* GnServer (REST)
The [[https://github.com/genenetwork/gn_server][GnServer REST API]] is built on high performance [[http://elixir-lang.org/][Elixir]] with [[https://github.com/falood/maru][Maru]].
Mainly the GnServer serves JSON requests, for example to fetch data
@@ -52,4 +53,118 @@ from the database. To get the menu data in YAML you can do something like
: curl localhost:8880/int/menu/main.json|ruby extra/json2yaml.rb
-(json2yaml.rb is in the gn_server repo).
+(json2yaml.rb is in the gn_server repo). For the current API definition
+see [[https://github.com/genenetwork/gn_server/doc/API.md][GnServer REST API]] documentation.
+
+* GnExec
+
+GnExec, also written in Elixir, executes commands using a separate
+daemon.
+
+* Database
+** Phenotypes
+
+Phenotypes are stored in the SQL database. For what happens at the
+database level see [[database.org]]. A test database can be downloaded -
+see the installation [[./README.org][instructions]].
+
+** Genotypes
+
+Genotypes are stored in genotype files. These are part of the GNU Guix
+distribution, see the installation [[./README.org][instructions]]. Genotype files are
+currently in GN1 format, and will be aligned with the [[http://kbroman.org/qtl2/pages/sampledata.html][R/qtl2 formats]].
+
+GN1-style (still default GN2) for the stored file BXD.geno:
+
+#+begin_src js
+@name:BXD
+@type:riset
+@mat:B
+@pat:D
+@het:H
+@unk:U
+Chr Locus cM Mb BXD1 BXD2 BXD5 BXD6 BXD8 BXD9 BXD11 BXD12 BXD13 BXD14 BX
+D15 BXD16 BXD18 BXD19 BXD20 BXD21 BXD22 BXD23 BXD24a BXD24 BXD25 BXD27 BXD28 BX
+D29 BXD30 BXD31 BXD32 BXD33 BXD34 BXD35 BXD36 BXD37 BXD38 BXD39 BXD40 BXD41 BXD4
+2 BXD43 BXD44 BXD45 BXD48 BXD49 BXD50 BXD51 BXD52 BXD53 BXD54 BXD55 BXD56 BXD59
+BXD60 BXD61 BXD62 BXD63 BXD64 BXD65 BXD66 BXD67 BXD68 BXD69 BXD70 BXD71 BXD72 BX
+D73 BXD74 BXD75 BXD76 BXD77 BXD78 BXD79 BXD80 BXD81 BXD83 BXD84 BXD85 BXD86 BXD8
+7 BXD88 BXD89 BXD90 BXD91 BXD92 BXD93 BXD94 BXD95 BXD96 BXD97 BXD98 BXD99 BXD100
+ BXD101 BXD102 BXD103
+1 rs6269442 0.0 3.482275 B B D D D B B D B B D D B D D D D B B B D B D D B B B
+B B B B B B D B D B B D B B H H B D B B H H B B D D D D D B B H B B B B D B D B
+D D D D D H B D D B D B B D D B D D B B B B B B B D
+1 rs6365999 0.0 4.811062 B B D D D B B D B B D D B D D D D B B B D B D D B B B
+B B B B B B D B D B B D B B H H B D B B H H B B D D D D D B B H B B B B D B D B
+D D D D D H B D D B D B B D D B D D B B B B B B U D
+...
+#+end_src
+
+and, for example, in the method run_rqtl_geno this file gets
+loaded. For GnServer, however, we only want to deal with standardized
+R/qtl formatted data, so with gn_extra we convert the original format
+into R/qtl format with geno2rqtl with one adaptation: the geno table
+is transposed so now becomes
+
+#+begin_src js
+marker,BXD1,BXD2,BXD5,BXD6,BXD8,BXD9,BXD11,BXD12,BXD13,BXD14,BXD15,BXD16,BXD18,BXD19,BXD20,BXD21,BXD22,BXD23,BXD24a,BXD24,BXD25,BXD27,BXD28,BXD29,BXD30,BXD31,BXD32,BXD33,BXD34,BXD35,BXD36,BXD37,BXD38,BXD39,BXD40,BXD41,BXD42,BXD43,BXD44,BXD45,BXD48,BXD49,BXD50,BXD51,BXD52,BXD53,BXD54,BXD55,BXD56,BXD59,BXD60,BXD61,BXD62,BXD63,BXD64,BXD65,BXD66,BXD67,BXD68,BXD69,BXD70,BXD71,BXD72,BXD73,BXD74,BXD75,BXD76,BXD77,BXD78,BXD79,BXD80,BXD81,BXD83,BXD84,BXD85,BXD86,BXD87,BXD88,BXD89,BXD90,BXD91,BXD92,BXD93,BXD94,BXD95,BXD96,BXD97,BXD98,BXD99,BXD100,BXD101,BXD102,BXD103
+1,B,B,D,D,D,B,B,D,B,B,D,D,B,D,D,D,D,B,B,B,D,B,D,D,B,B,B,B,B,B,B,B,B,D,B,D,B,B,D,B,B,H,H,B,D,B,B,H,H,B,B,D,D,D,D,D,B,B,H,B,B,B,B,D,B,D,B,D,D,D,D,D,H,B,D,D,B,D,B,B,D,D,B,D,D,B,B,B,B,B,B,B,D
+2,B,B,D,D,D,B,B,D,B,B,D,D,B,D,D,D,D,B,B,B,D,B,D,D,B,B,B,B,B,B,B,B,B,D,B,D,B,B,D,B,B,H,H,B,D,B,B,H,H,B,B,D,D,D,D,D,B,B,H,B,B,B,B,D,B,D,B,D,D,D,D,D,H,B,D,D,B,D,B,B,D,D,B,D,D,B,B,B,B,B,B,U,D
+3,B,B,D,D,D,B,B,D,B,B,D,D,B,D,D,D,D,B,B,B,D,B,D,D,B,B,B,B,B,B,B,B,B,D,B,D,B,D,D,B,B,H,H,B,B,B,B,H,H,B,B,D,D,D,D,B,B,B,H,B,B,B,B,D,B,D,B,D,D,D,D,D,H,B,D,D,B,D,B,B,D,D,B,D,D,B,B,B,B,B,B,U,D
+...
+#+end_src js
+
+i.e. individuals are columns and markers are rows. Alternatively it could look like
+
+#+begin_src js
+marker,BXD1,BXD2,BXD5,BXD6,BXD8,BXD9,BXD11,BXD12,BXD13,BXD14,BXD15,BXD16,BXD18,BXD19,BXD20,BXD21,BXD22,BXD23,BXD24a,BXD24,BXD25,BXD27,BXD28,BXD29,BXD30,BXD31,BXD32,BXD33,BXD34,BXD35,BXD36,BXD37,BXD38,BXD39,BXD40,BXD41,BXD42,BXD43,BXD44,BXD45,BXD48,BXD49,BXD50,BXD51,BXD52,BXD53,BXD54,BXD55,BXD56,BXD59,BXD60,BXD61,BXD62,BXD63,BXD64,BXD65,BXD66,BXD67,BXD68,BXD69,BXD70,BXD71,BXD72,BXD73,BXD74,BXD75,BXD76,BXD77,BXD78,BXD79,BXD80,BXD81,BXD83,BXD84,BXD85,BXD86,BXD87,BXD88,BXD89,BXD90,BXD91,BXD92,BXD93,BXD94,BXD95,BXD96,BXD97,BXD98,BXD99,BXD100,BXD101,BXD102,BXD103
+rs6269442,B,B,D,D,D,B,B,D,B,B,D,D,B,D,D,D,D,B,B,B,D,B,D,D,B,B,B,B,B,B,B,B,B,D,B,D,B,B,D,B,B,H,H,B,D,B,B,H,H,B,B,D,D,D,D,D,B,B,H,B,B,B,B,D,B,D,B,D,D,D,D,D,H,B,D,D,B,D,B,B,D,D,B,D,D,B,B,B,B,B,B,B,D
+rs6365999,B,B,D,D,D,B,B,D,B,B,D,D,B,D,D,D,D,B,B,B,D,B,D,D,B,B,B,B,B,B,B,B,B,D,B,D,B,B,D,B,B,H,H,B,D,B,B,H,H,B,B,D,D,D,D,D,B,B,H,B,B,B,B,D,B,D,B,D,D,D,D,D,H,B,D,D,B,D,B,B,D,D,B,D,D,B,B,B,B,B,B,U,D
+rs6376963,B,B,D,D,D,B,B,D,B,B,D,D,B,D,D,D,D,B,B,B,D,B,D,D,B,B,B,B,B,B,B,B,B,D,B,D,B,D,D,B,B,H,H,B,B,B,B,H,H,B,B,D,D,D,D,B,B,B,H,B,B,B,B,D,B,D,B,D,D,D,D,D,H,B,D,D,B,D,B,B,D,D,B,D,D,B,B,B,B,B,B,U,D
+#+end_src js
+
+This is also the format provided by R/qtl in
+https://github.com/rqtl/qtl2data/tree/master/DO_Recla which we will
+use as the base line for the REST server. In the meta json file the
+genotype data is tagged as transposed:
+
+#+begin_src js
+{
+"description": "DO data from Recla et al. (2014) Mamm Genome 25:211-222",
+"crosstype": "do",
+"geno": "recla_geno.csv",
+"geno_transposed": true,
+"founder_geno": "recla_foundergeno.csv",
+"founder_geno_transposed": true,
+"genotypes": {
+ "1": "1",
+ "2": "2",
+ "3": "3"
+},
+"pheno": "recla_pheno.csv",
+"pheno_transposed": false,
+"covar": "recla_covar.csv",
+"sex": {
+ "covar": "Sex",
+ "female": "female",
+ "male": "male"
+},
+"x_chr": "X",
+"cross_info": {
+ "covar": "ngen"
+},
+"gmap": "recla_gmap.csv",
+"pmap": "recla_pmap.csv",
+"alleles": ["A", "B", "C", "D", "E", "F", "G", "H"]
+}
+#+end_src
+
+Meanwhile the gmap file looks like
+
+#+begin_src js
+marker,chr,pos,Mb
+rs6269442,1,0.0,3.482275
+rs6365999,1,0.0,4.811062
+rs6376963,1,0.895,5.008089
+rs3677817,1,1.185,5.176058
+#+end_src
diff --git a/doc/README.org b/doc/README.org
index b3c78f29..aa05654f 100644
--- a/doc/README.org
+++ b/doc/README.org
@@ -117,7 +117,7 @@ cd guix-gn-latest
** Step 3: Authorize the GN Guix server
GN2 has its own GNU Guix binary distribution server. To trust it you have
-to add the following key
+to add the following key
#+begin_src scheme
(public-key
@@ -136,9 +136,9 @@ guix archive --authorize
and hit Ctrl-D.
-Now you can use the substitute server to install GN2 binaries.
+Now you can use the substitute server to install GN2 binaries.
-** Step 4: Install and run GN2
+** Step 4: Install and run GN2
Since this is a quick and dirty install we are going to override the
GNU Guix package path by pointing the package path to our repository:
@@ -208,7 +208,7 @@ https://s3.amazonaws.com/genenetwork2/db_webqtl_s.zip
Check the md5sum.
After installation inflate the database binary in the MySQL directory
-(this installation path is subject to change soon)
+(this installation path is subject to change soon)
: chown -R mysql:mysql db_webqtl_s/
: chmod 700 db_webqtl_s/
@@ -271,10 +271,10 @@ R_LIBS_SITE are set) from the information given by guix:
Inside the repository:
: cd genenetwork2
-: ./bin/genenetwork2
+: ./bin/genenetwork2
-Will fire up your local repo http://localhost:5003/ using the
-settings in ./etc/default_settings.py. These settings may
+Will fire up your local repo http://localhost:5003/ using the
+settings in ./etc/default_settings.py. These settings may
not reflect your system. To override settings create your own from a copy of
default_settings.py and pass it into GN2 with
@@ -348,7 +348,7 @@ Make dirs
Add users
-: adduser nobody ; addgroup nobody
+: adduser nobody ; addgroup nobody
Run nginx
@@ -392,6 +392,12 @@ Make a note of the paths with
./pre-inst-env guix package --search-paths
#+end_src bash
+or this should also work if guix is installed
+
+#+begin_src bash
+guix package --search-paths
+#+end_src bash
+
After setting the paths for the server
#+begin_src bash
@@ -413,7 +419,7 @@ genenetwork2
will start the default server which listens on port 5003, i.e.,
http://localhost:5003/.
-OK, we are where we were before with step 4. Only difference is that we
+OK, we are where we were before with step 4. Only difference is that we
used our own compiled guix server.
* Trouble shooting
@@ -433,7 +439,7 @@ On one system:
: export R_LIBS_SITE="$HOME/.guix-profile/site-library/"
: export GEM_PATH="$HOME/.guix-profile/lib/ruby/gems/2.2.0"
-and perhaps a few more.
+and perhaps a few more.
** ERROR: can not find directory $HOME/gn2_data
The default settings file looks in your $HOME/gn2_data. Since these
@@ -466,7 +472,7 @@ and a download of the test database.
<user01> set to the ones in ~/.guix-profile/
<pjotrp> good, and you are in gn-latest-guix repo [07:06]
<user01> yep [07:07]
-<pjotrp> git log shows
+<pjotrp> git log shows
Author: David Thompson <dthompson2@worcester.edu>
Date: Sun Mar 27 21:20:19 2016 -0400
@@ -488,7 +494,7 @@ genenetwork2-files-small 1.0 out ../guix-bioinformatics/gn/packages/g
<user01> hah, I don't have screen installed yet [07:11]
<pjotrp> comes with guix ;) [07:12]
<pjotrp> no worries, you can run it any way you want
-<pjotrp> $HOME/.guix-profile/bin/guix-daemon --build-users-group=guixbuild
+<pjotrp> $HOME/.guix-profile/bin/guix-daemon --build-users-group=guixbuild
<user01> then something's weird, because it says I don't have it
<pjotrp> oh, you need to install it first [07:13]
<pjotrp> guix package -A screen
@@ -546,11 +552,11 @@ The following derivations would be built:
<pjotrp> https://github.com/pjotrp/guix-notes/blob/master/REPRODUCIBLE.org
<pjotrp> this is exactly what we are doing now
<user01> alrighty [07:35]
-<pjotrp> To see if a remote server has a guix server running it should respond
+<pjotrp> To see if a remote server has a guix server running it should respond
[07:36]
<pjotrp> lynx http://guix.genenetwork.org:8080 --dump
<pjotrp> Resource not found: /
-<pjotrp>
+<pjotrp>
<pjotrp> you see that?
<user01> yes [07:37]
<pjotrp> good. The main hydra server is too slow. So on my laptop I forced
@@ -558,7 +564,7 @@ The following derivations would be built:
<pjotrp> env GUIX_PACKAGE_PATH=../guix-bioinformatics/ ./pre-inst-env guix
package -i genenetwork2 --dry-run
--substitute-urls="http://mirror.hydra.gnu.org"
-<pjotrp>
+<pjotrp>
<pjotrp> the list looks the same to me [07:40]
<user01> me too
<pjotrp> note that some packages will be built and some downloaded, right?
@@ -688,7 +694,7 @@ The following derivations would be built:
<pjotrp> everything should be pre-built from guix.genenetwork.org
<pjotrp> you are downloading?
<user02> yes [09:15]
-<pjotrp> cool. Maybe an idea to set up a server
+<pjotrp> cool. Maybe an idea to set up a server
<pjotrp> for your own use
<user02> Stuck at downloading preprocesscore
<pjotrp> should not [09:24]
@@ -735,7 +741,7 @@ The following derivations would be built:
<pjotrp> should be at
/gnu/store/y1f3r2xs3fhyadd46nd2aqbr2p9qv2ra-r-biocpreprocesscore-1.32.0
[09:33]
-<pjotrp>
+<pjotrp>
<user03> pjotrp: Possibly we should use the archive utility of Guix to do
deployment to avoid such out-of-sync differences :) [09:34]
<pjotrp> maybe. I did not get archive to update profiles properly [09:37]
@@ -802,7 +808,7 @@ The following derivations would be built:
<pjotrp> but do not checkout that genetwork2_diet
<pjotrp> we reverted to the main tree
<pjotrp> clone git@github.com:genenetwork/genenetwork2.git [09:53]
-<pjotrp> instead and checkout the staging branch
+<pjotrp> instead and checkout the staging branch
<pjotrp> that is effectively my branch [09:54]
<pjotrp> when that is done you should be able to fire up the webserver from
there [09:55]
@@ -825,7 +831,7 @@ The following derivations would be built:
<user01> yep
<pjotrp> that can also run on remote files over ssh
<pjotrp> that's an alternative
-<pjotrp> kudos for using emacs :), wdyt user03
+<pjotrp> kudos for using emacs :), wdyt user03
<user02> 79 minutes to go downloading the db
<pjotrp> user02: sorry about that [09:59]
<pjotrp> it is 2GB
@@ -850,7 +856,7 @@ The following derivations would be built:
--substitute-urls="http://guix.genenetwork.org:8080" [10:08]
<pjotrp> elixir 1.2.3 out
../guix-bioinformatics/gn/packages/elixir.scm:31:2
-<pjotrp>
+<pjotrp>
<pjotrp> I am building it on guix.genenetwork.org right now [10:09]
<user01> nice [10:10]
#+end_src
diff --git a/doc/database.org b/doc/database.org
index d4c04848..624174a4 100644
--- a/doc/database.org
+++ b/doc/database.org
@@ -207,10 +207,18 @@ Metadata
?
-** Chr_Length
+** 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)
@@ -275,10 +283,19 @@ Wiki info (nightly updated from NCBI)
XRef should be foreign keys
-** Geno
+** 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
@@ -311,7 +328,7 @@ Heritability for probeset(?)
Homology, not used much
-** InbredSet
+** InbredSet (/cross/BXD.info)
Group in menu
@@ -489,6 +506,35 @@ select count(*) from ProbeSet limit 5;
+------+--------+----------+----------+--------+----------------------------------------------+------+-----------+----------+--------+-----------+------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------------+-------------+--------+----------+-------------------------+-----------------------+----------------------+-------------------------+-----------------------+------------------+----------------------+------+----------+---------------+--------------+------+---------+----------+---------+----------+--------------------------+---------------------+---------+-----------+-----------------------------+---------------------------+--------------+-------------+-----------+-------------+------------+---------+------------+----------+-----------+------------+------------+---------------+---------+-----------+---------+------------------+-------------+------+--------+-------------+----------------+-----------------+
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
@@ -691,6 +737,19 @@ show indexes from ProbeSetFreeze;
| 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 and publishdata (all pheno)
Phenotype pubs
@@ -794,6 +853,18 @@ INFO:db.call:.sql: __init__:
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
@@ -874,7 +945,87 @@ INFO:base.data_set:.sql: get_trait_info:
(that is a bug!).
-** Fetch phenotypes
+** 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
@@ -1014,3 +1165,51 @@ select * from ProbeSetData limit 5;
5 rows in set (0.00 sec)
linked by ProbeSetXRef.dataid.
+** 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.