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author | BonfaceKilz | 2021-09-27 13:59:17 +0300 |
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committer | GitHub | 2021-09-27 13:59:17 +0300 |
commit | 0cbb6ecde0315b7d6f021cb17406f5e5197e8a05 (patch) | |
tree | 0647dddf8b1aa4530476807bfa3a5dfd54a8119f /gn3/db | |
parent | 2cf220a11936125f059dc9b6a494d0f70eac068d (diff) | |
parent | a9fc9814760d205674904f8feb700eadae480fb1 (diff) | |
download | genenetwork3-0cbb6ecde0315b7d6f021cb17406f5e5197e8a05.tar.gz |
Merge pull request #37 from genenetwork/heatmap_generation
Heatmap generation
Diffstat (limited to 'gn3/db')
-rw-r--r-- | gn3/db/datasets.py | 52 | ||||
-rw-r--r-- | gn3/db/genotypes.py | 184 | ||||
-rw-r--r-- | gn3/db/traits.py | 78 |
3 files changed, 253 insertions, 61 deletions
diff --git a/gn3/db/datasets.py b/gn3/db/datasets.py index 4a05499..6c328f5 100644 --- a/gn3/db/datasets.py +++ b/gn3/db/datasets.py @@ -119,9 +119,9 @@ def retrieve_dataset_name( return fn_map[trait_type](threshold, dataset_name, conn) -def retrieve_geno_riset_fields(name, conn): +def retrieve_geno_group_fields(name, conn): """ - Retrieve the RISet, and RISetID values for various Geno trait types. + Retrieve the Group, and GroupID values for various Geno trait types. """ query = ( "SELECT InbredSet.Name, InbredSet.Id " @@ -130,12 +130,12 @@ def retrieve_geno_riset_fields(name, conn): "AND GenoFreeze.Name = %(name)s") with conn.cursor() as cursor: cursor.execute(query, {"name": name}) - return dict(zip(["riset", "risetid"], cursor.fetchone())) + return dict(zip(["group", "groupid"], cursor.fetchone())) return {} -def retrieve_publish_riset_fields(name, conn): +def retrieve_publish_group_fields(name, conn): """ - Retrieve the RISet, and RISetID values for various Publish trait types. + Retrieve the Group, and GroupID values for various Publish trait types. """ query = ( "SELECT InbredSet.Name, InbredSet.Id " @@ -144,12 +144,12 @@ def retrieve_publish_riset_fields(name, conn): "AND PublishFreeze.Name = %(name)s") with conn.cursor() as cursor: cursor.execute(query, {"name": name}) - return dict(zip(["riset", "risetid"], cursor.fetchone())) + return dict(zip(["group", "groupid"], cursor.fetchone())) return {} -def retrieve_probeset_riset_fields(name, conn): +def retrieve_probeset_group_fields(name, conn): """ - Retrieve the RISet, and RISetID values for various ProbeSet trait types. + Retrieve the Group, and GroupID values for various ProbeSet trait types. """ query = ( "SELECT InbredSet.Name, InbredSet.Id " @@ -159,12 +159,12 @@ def retrieve_probeset_riset_fields(name, conn): "AND ProbeSetFreeze.Name = %(name)s") with conn.cursor() as cursor: cursor.execute(query, {"name": name}) - return dict(zip(["riset", "risetid"], cursor.fetchone())) + return dict(zip(["group", "groupid"], cursor.fetchone())) return {} -def retrieve_temp_riset_fields(name, conn): +def retrieve_temp_group_fields(name, conn): """ - Retrieve the RISet, and RISetID values for `Temp` trait types. + Retrieve the Group, and GroupID values for `Temp` trait types. """ query = ( "SELECT InbredSet.Name, InbredSet.Id " @@ -173,30 +173,30 @@ def retrieve_temp_riset_fields(name, conn): "AND Temp.Name = %(name)s") with conn.cursor() as cursor: cursor.execute(query, {"name": name}) - return dict(zip(["riset", "risetid"], cursor.fetchone())) + return dict(zip(["group", "groupid"], cursor.fetchone())) return {} -def retrieve_riset_fields(trait_type, trait_name, dataset_info, conn): +def retrieve_group_fields(trait_type, trait_name, dataset_info, conn): """ - Retrieve the RISet, and RISetID values for various trait types. + Retrieve the Group, and GroupID values for various trait types. """ - riset_fns_map = { - "Geno": retrieve_geno_riset_fields, - "Publish": retrieve_publish_riset_fields, - "ProbeSet": retrieve_probeset_riset_fields + group_fns_map = { + "Geno": retrieve_geno_group_fields, + "Publish": retrieve_publish_group_fields, + "ProbeSet": retrieve_probeset_group_fields } if trait_type == "Temp": - riset_info = retrieve_temp_riset_fields(trait_name, conn) + group_info = retrieve_temp_group_fields(trait_name, conn) else: - riset_info = riset_fns_map[trait_type](dataset_info["dataset_name"], conn) + group_info = group_fns_map[trait_type](dataset_info["dataset_name"], conn) return { **dataset_info, - **riset_info, - "riset": ( - "BXD" if riset_info.get("riset") == "BXD300" - else riset_info.get("riset", "")) + **group_info, + "group": ( + "BXD" if group_info.get("group") == "BXD300" + else group_info.get("group", "")) } def retrieve_temp_trait_dataset(): @@ -281,11 +281,11 @@ def retrieve_trait_dataset(trait_type, trait, threshold, conn): trait_type, threshold, trait["trait_name"], trait["db"]["dataset_name"], conn) } - riset = retrieve_riset_fields( + group = retrieve_group_fields( trait_type, trait["trait_name"], dataset_name_info, conn) return { "display_name": dataset_name_info["dataset_name"], **dataset_name_info, **dataset_fns[trait_type](), - **riset + **group } diff --git a/gn3/db/genotypes.py b/gn3/db/genotypes.py new file mode 100644 index 0000000..8f18cac --- /dev/null +++ b/gn3/db/genotypes.py @@ -0,0 +1,184 @@ +"""Genotype utilities""" + +import os +import gzip +from typing import Union, TextIO + +from gn3.settings import GENOTYPE_FILES + +def build_genotype_file( + geno_name: str, base_dir: str = GENOTYPE_FILES, + extension: str = "geno"): + """Build the absolute path for the genotype file.""" + return "{}/{}.{}".format(os.path.abspath(base_dir), geno_name, extension) + +def load_genotype_samples(genotype_filename: str, file_type: str = "geno"): + """ + Load sample of samples from genotype files. + + DESCRIPTION: + Traits can contain a varied number of samples, some of which do not exist in + certain genotypes. In order to compute QTLs, GEMMAs, etc, we need to ensure + to pick only those samples that exist in the genotype under consideration + for the traits used in the computation. + + This function loads a list of samples from the genotype files for use in + filtering out unusable samples. + + + PARAMETERS: + genotype_filename: The absolute path to the genotype file to load the + samples from. + file_type: The type of file. Currently supported values are 'geno' and + 'plink'. + """ + file_type_fns = { + "geno": __load_genotype_samples_from_geno, + "plink": __load_genotype_samples_from_plink + } + return file_type_fns[file_type](genotype_filename) + +def __load_genotype_samples_from_geno(genotype_filename: str): + """ + Helper function for `load_genotype_samples` function. + + Loads samples from '.geno' files. + """ + gzipped_filename = "{}.gz".format(genotype_filename) + if os.path.isfile(gzipped_filename): + genofile: Union[TextIO, gzip.GzipFile] = gzip.open(gzipped_filename) + else: + genofile = open(genotype_filename) + + for row in genofile: + line = row.strip() + if (not line) or (line.startswith(("#", "@"))): # type: ignore[arg-type] + continue + break + + headers = line.split("\t") # type: ignore[arg-type] + if headers[3] == "Mb": + return headers[4:] + return headers[3:] + +def __load_genotype_samples_from_plink(genotype_filename: str): + """ + Helper function for `load_genotype_samples` function. + + Loads samples from '.plink' files. + """ + genofile = open(genotype_filename) + return [line.split(" ")[1] for line in genofile] + +def parse_genotype_labels(lines: list): + """ + Parse label lines into usable genotype values + + DESCRIPTION: + Reworks + https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/utility/gen_geno_ob.py#L75-L93 + """ + acceptable_labels = ["name", "filler", "type", "mat", "pat", "het", "unk"] + def __parse_label(line): + label, value = [l.strip() for l in line[1:].split(":")] + if label not in acceptable_labels: + return None + if label == "name": + return ("group", value) + return (label, value) + return tuple( + item for item in (__parse_label(line) for line in lines) + if item is not None) + +def parse_genotype_header(line: str, parlist: tuple = tuple()): + """ + Parse the genotype file header line + + DESCRIPTION: + Reworks + https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/utility/gen_geno_ob.py#L94-L114 + """ + items = [item.strip() for item in line.split("\t")] + mbmap = "Mb" in items + prgy = ((parlist + tuple(items[4:])) if mbmap + else (parlist + tuple(items[3:]))) + return ( + ("Mbmap", mbmap), + ("cm_column", items.index("cM")), + ("mb_column", None if not mbmap else items.index("Mb")), + ("prgy", prgy), + ("nprgy", len(prgy))) + +def parse_genotype_marker(line: str, geno_obj: dict, parlist: tuple): + """ + Parse a data line in a genotype file + + DESCRIPTION: + Reworks + https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/utility/gen_geno_ob.py#L143-L190 + """ + # pylint: disable=W0702 + marker_row = [item.strip() for item in line.split("\t")] + geno_table = { + geno_obj["mat"]: -1, geno_obj["pat"]: 1, geno_obj["het"]: 0, + geno_obj["unk"]: "U" + } + start_pos = 4 if geno_obj["Mbmap"] else 3 + if len(parlist) > 0: + start_pos = start_pos + 2 + + alleles = marker_row[start_pos:] + genotype = tuple( + (geno_table[allele] if allele in geno_table.keys() else "U") + for allele in alleles) + if len(parlist) > 0: + genotype = (-1, 1) + genotype + try: + cm_val = float(geno_obj["cm_column"]) + except: + if geno_obj["Mbmap"]: + cm_val = float(geno_obj["mb_column"]) + else: + cm_val = 0 + return ( + ("chr", marker_row[0]), + ("name", marker_row[1]), + ("cM", cm_val), + ("Mb", float(geno_obj["mb_column"]) if geno_obj["Mbmap"] else None), + ("genotype", genotype)) + +def build_genotype_chromosomes(geno_obj, markers): + """ + Build up the chromosomes from the given markers and partially built geno + object + """ + mrks = [dict(marker) for marker in markers] + chr_names = {marker["chr"] for marker in mrks} + return tuple(( + ("name", chr_name), ("mb_exists", geno_obj["Mbmap"]), ("cm_column", 2), + ("mb_column", geno_obj["mb_column"]), + ("loci", tuple(marker for marker in mrks if marker["chr"] == chr_name))) + for chr_name in sorted(chr_names)) + +def parse_genotype_file(filename: str, parlist: tuple = tuple()): + """ + Parse the provided genotype file into a usable pytho3 data structure. + """ + with open(filename, "r") as infile: + contents = infile.readlines() + + lines = tuple(line for line in contents if + ((not line.strip().startswith("#")) and + (not line.strip() == ""))) + labels = parse_genotype_labels( + [line for line in lines if line.startswith("@")]) + data_lines = tuple(line for line in lines if not line.startswith("@")) + header = parse_genotype_header(data_lines[0], parlist) + geno_obj = dict(labels + header) + markers = tuple( + [parse_genotype_marker(line, geno_obj, parlist) + for line in data_lines[1:]]) + chromosomes = tuple( + dict(chromosome) for chromosome in + build_genotype_chromosomes(geno_obj, markers)) + return {**geno_obj, "chromosomes": chromosomes} diff --git a/gn3/db/traits.py b/gn3/db/traits.py index 1031e44..f2673c8 100644 --- a/gn3/db/traits.py +++ b/gn3/db/traits.py @@ -1,5 +1,8 @@ """This class contains functions relating to trait data manipulation""" +import os from typing import Any, Dict, Union, Sequence +from gn3.settings import TMPDIR +from gn3.random import random_string from gn3.function_helpers import compose from gn3.db.datasets import retrieve_trait_dataset @@ -43,7 +46,7 @@ def update_sample_data(conn: Any, count: Union[int, str]): """Given the right parameters, update sample-data from the relevant table.""" - # pylint: disable=[R0913, R0914] + # pylint: disable=[R0913, R0914, C0103] STRAIN_ID_SQL: str = "UPDATE Strain SET Name = %s WHERE Id = %s" PUBLISH_DATA_SQL: str = ("UPDATE PublishData SET value = %s " "WHERE StrainId = %s AND Id = %s") @@ -60,22 +63,22 @@ def update_sample_data(conn: Any, with conn.cursor() as cursor: # Update the Strains table cursor.execute(STRAIN_ID_SQL, (strain_name, strain_id)) - updated_strains: int = cursor.rowcount + updated_strains = cursor.rowcount # Update the PublishData table cursor.execute(PUBLISH_DATA_SQL, (None if value == "x" else value, strain_id, publish_data_id)) - updated_published_data: int = cursor.rowcount + updated_published_data = cursor.rowcount # Update the PublishSE table cursor.execute(PUBLISH_SE_SQL, (None if error == "x" else error, strain_id, publish_data_id)) - updated_se_data: int = cursor.rowcount + updated_se_data = cursor.rowcount # Update the NStrain table cursor.execute(N_STRAIN_SQL, (None if count == "x" else count, strain_id, publish_data_id)) - updated_n_strains: int = cursor.rowcount + updated_n_strains = cursor.rowcount return (updated_strains, updated_published_data, updated_se_data, updated_n_strains) @@ -223,7 +226,7 @@ def set_homologene_id_field_probeset(trait_info, conn): """ query = ( "SELECT HomologeneId FROM Homologene, Species, InbredSet" - " WHERE Homologene.GeneId = %(geneid)s AND InbredSet.Name = %(riset)s" + " WHERE Homologene.GeneId = %(geneid)s AND InbredSet.Name = %(group)s" " AND InbredSet.SpeciesId = Species.Id AND" " Species.TaxonomyId = Homologene.TaxonomyId") with conn.cursor() as cursor: @@ -231,7 +234,7 @@ def set_homologene_id_field_probeset(trait_info, conn): query, { k:v for k, v in trait_info.items() - if k in ["geneid", "riset"] + if k in ["geneid", "group"] }) res = cursor.fetchone() if res: @@ -419,7 +422,7 @@ def retrieve_trait_info( if trait_info["haveinfo"]: return { **trait_post_processing_functions_table[trait_dataset_type]( - {**trait_info, "riset": trait_dataset["riset"]}), + {**trait_info, "group": trait_dataset["group"]}), "db": {**trait["db"], **trait_dataset} } return trait_info @@ -442,18 +445,18 @@ def retrieve_temp_trait_data(trait_info: dict, conn: Any): query, {"trait_name": trait_info["trait_name"]}) return [dict(zip( - ["strain_name", "value", "se_error", "nstrain", "id"], row)) + ["sample_name", "value", "se_error", "nstrain", "id"], row)) for row in cursor.fetchall()] return [] -def retrieve_species_id(riset, conn: Any): +def retrieve_species_id(group, conn: Any): """ - Retrieve a species id given the RISet value + Retrieve a species id given the Group value """ with conn.cursor as cursor: cursor.execute( - "SELECT SpeciesId from InbredSet WHERE Name = %(riset)s", - {"riset": riset}) + "SELECT SpeciesId from InbredSet WHERE Name = %(group)s", + {"group": group}) return cursor.fetchone()[0] return None @@ -479,9 +482,9 @@ def retrieve_geno_trait_data(trait_info: Dict, conn: Any): {"trait_name": trait_info["trait_name"], "dataset_name": trait_info["db"]["dataset_name"], "species_id": retrieve_species_id( - trait_info["db"]["riset"], conn)}) + trait_info["db"]["group"], conn)}) return [dict(zip( - ["strain_name", "value", "se_error", "id"], row)) + ["sample_name", "value", "se_error", "id"], row)) for row in cursor.fetchall()] return [] @@ -512,7 +515,7 @@ def retrieve_publish_trait_data(trait_info: Dict, conn: Any): {"trait_name": trait_info["trait_name"], "dataset_id": trait_info["db"]["dataset_id"]}) return [dict(zip( - ["strain_name", "value", "se_error", "nstrain", "id"], row)) + ["sample_name", "value", "se_error", "nstrain", "id"], row)) for row in cursor.fetchall()] return [] @@ -545,7 +548,7 @@ def retrieve_cellid_trait_data(trait_info: Dict, conn: Any): "trait_name": trait_info["trait_name"], "dataset_id": trait_info["db"]["dataset_id"]}) return [dict(zip( - ["strain_name", "value", "se_error", "id"], row)) + ["sample_name", "value", "se_error", "id"], row)) for row in cursor.fetchall()] return [] @@ -574,29 +577,29 @@ def retrieve_probeset_trait_data(trait_info: Dict, conn: Any): {"trait_name": trait_info["trait_name"], "dataset_name": trait_info["db"]["dataset_name"]}) return [dict(zip( - ["strain_name", "value", "se_error", "id"], row)) + ["sample_name", "value", "se_error", "id"], row)) for row in cursor.fetchall()] return [] -def with_strainlist_data_setup(strainlist: Sequence[str]): +def with_samplelist_data_setup(samplelist: Sequence[str]): """ - Build function that computes the trait data from provided list of strains. + Build function that computes the trait data from provided list of samples. PARAMETERS - strainlist: (list) - A list of strain names + samplelist: (list) + A list of sample names RETURNS: Returns a function that given some data from the database, computes the - strain's value, variance and ndata values, only if the strain is present - in the provided `strainlist` variable. + sample's value, variance and ndata values, only if the sample is present + in the provided `samplelist` variable. """ def setup_fn(tdata): - if tdata["strain_name"] in strainlist: + if tdata["sample_name"] in samplelist: val = tdata["value"] if val is not None: return { - "strain_name": tdata["strain_name"], + "sample_name": tdata["sample_name"], "value": val, "variance": tdata["se_error"], "ndata": tdata.get("nstrain", None) @@ -604,19 +607,19 @@ def with_strainlist_data_setup(strainlist: Sequence[str]): return None return setup_fn -def without_strainlist_data_setup(): +def without_samplelist_data_setup(): """ Build function that computes the trait data. RETURNS: Returns a function that given some data from the database, computes the - strain's value, variance and ndata values. + sample's value, variance and ndata values. """ def setup_fn(tdata): val = tdata["value"] if val is not None: return { - "strain_name": tdata["strain_name"], + "sample_name": tdata["sample_name"], "value": val, "variance": tdata["se_error"], "ndata": tdata.get("nstrain", None) @@ -624,7 +627,7 @@ def without_strainlist_data_setup(): return None return setup_fn -def retrieve_trait_data(trait: dict, conn: Any, strainlist: Sequence[str] = tuple()): +def retrieve_trait_data(trait: dict, conn: Any, samplelist: Sequence[str] = tuple()): """ Retrieve trait data @@ -647,22 +650,27 @@ def retrieve_trait_data(trait: dict, conn: Any, strainlist: Sequence[str] = tupl if results: # do something with mysqlid mysqlid = results[0]["id"] - if strainlist: + if samplelist: data = [ item for item in - map(with_strainlist_data_setup(strainlist), results) + map(with_samplelist_data_setup(samplelist), results) if item is not None] else: data = [ item for item in - map(without_strainlist_data_setup(), results) + map(without_samplelist_data_setup(), results) if item is not None] return { "mysqlid": mysqlid, "data": dict(map( lambda x: ( - x["strain_name"], - {k:v for k, v in x.items() if x != "strain_name"}), + x["sample_name"], + {k:v for k, v in x.items() if x != "sample_name"}), data))} return {} + +def generate_traits_filename(base_path: str = TMPDIR): + """Generate a unique filename for use with generated traits files.""" + return "{}/traits_test_file_{}.txt".format( + os.path.abspath(base_path), random_string(10)) |