From f924ba5f3c4c4be92fc8994cd249a94bc09892c7 Mon Sep 17 00:00:00 2001 From: Amine Ghozlane Date: Mon, 2 Sep 2024 18:39:06 +0200 Subject: [PATCH] Fix core size application with freebayes. Fix test according. --- meteor/strain.py | 12 +- meteor/tests/test_strain.py | 14 +- .../mock/database/mock_annotation.tsv | 29921 ++++++++++++++++ .../catalogue/mock/mock_reference.json | 27 +- .../expected_output/filtered_cov.tsv | 1 + meteor/tests/test_variantcalling.py | 13 +- .../eva71/database/eva71_annotation.tsv | 2 + .../eva71/database/eva71_msp.tsv | 2 + .../eva71/eva71_reference.json | 8 + meteor/variantcalling.py | 59 +- 10 files changed, 30039 insertions(+), 20 deletions(-) create mode 100644 meteor/tests/test_strain/catalogue/mock/database/mock_annotation.tsv create mode 100644 meteor/tests/test_variantcalling/eva71/database/eva71_annotation.tsv create mode 100644 meteor/tests/test_variantcalling/eva71/database/eva71_msp.tsv diff --git a/meteor/strain.py b/meteor/strain.py index ef0fcb9..f090065 100644 --- a/meteor/strain.py +++ b/meteor/strain.py @@ -36,7 +36,7 @@ class Strain(Session): MIN_MIN_SNP_DEPTH: ClassVar[int] = 1 MAX_MIN_SNP_DEPTH: ClassVar[int] = 10000 DEFAULT_MIN_SNP_DEPTH: ClassVar[int] = 3 - DEFAULT_MIN_FREQUENCY: ClassVar[float] = 0.8 + DEFAULT_MIN_FREQUENCY: ClassVar[float] = 0.01 DEFAULT_PLOIDY: ClassVar[int] = 1 MIN_MIN_MSP_COVERAGE: ClassVar[int] = 1 MAX_MIN_MSP_COVERAGE: ClassVar[int] = 100 @@ -79,7 +79,7 @@ def filter_coverage( "startpos", "endpos", ], - header=1, + # header=1, ) cov_df = pd.read_csv( StringIO( @@ -92,7 +92,7 @@ def filter_coverage( ) # type: ignore[attr-defined] ), sep="\t", - header=1, + header=0, names=[ "gene_id", "startpos", @@ -146,8 +146,8 @@ def get_msp_variant( msp_content = pd.read_csv( msp_file, sep="\t", - names=["msp_name", "gene_id", "gene_name", "gene_category"], - header=1, + # names=["msp_name", "gene_id", "gene_name", "gene_category"], + header=0, ) msp_content = msp_content.loc[msp_content["gene_category"] == "core"] msp_content = msp_content.groupby("msp_name").head(self.core_size).reset_index() @@ -258,7 +258,6 @@ def execute(self) -> None: self.json_data["directory"] = stage3_dir self.json_data["census"] = census_json self.json_data["reference"] = ref_json - self.json_data["reference"] = ref_json self.json_data["Stage3FileName"] = ( stage3_dir / f"{sample_info['sample_name']}_census_stage_3.json" ) @@ -274,6 +273,7 @@ def execute(self) -> None: self.min_snp_depth, self.min_frequency, self.ploidy, + self.core_size, ) if self.json_data["Stage3FileName"].exists(): logging.info( diff --git a/meteor/tests/test_strain.py b/meteor/tests/test_strain.py index 314d79f..1bcece4 100644 --- a/meteor/tests/test_strain.py +++ b/meteor/tests/test_strain.py @@ -37,7 +37,7 @@ def strain_builder(datadir: Path, tmp_path: Path) -> Strain: } # meteor.mapping_dir = tmp_path # return Strain(meteor, 100, 3, 3, 0.5, 1, 3, 0.8, True, False, json_data=json_data) - return Strain(meteor, 100, 3, 3, 0.5, 1, 1, 0.8, 10, True, json_data=json_data) + return Strain(meteor, 100, 3, 3, 0.5, 1, 1, 0.8, 100, True, json_data=json_data) def test_filter_coverage( @@ -49,7 +49,11 @@ def test_filter_coverage( strain_builder.meteor.ref_dir / "database" / "mock.bed", strain_builder.meteor.ref_dir / "fasta" / "mock.fasta.gz", ) + filtered_cov.to_csv("/pasteur/zeus/projets/p01/BioIT/amine/filtered.tsv", sep="\t") expected_output = pd.read_table(datadir / "expected_output" / "filtered_cov.tsv") + expected_output.to_csv( + "/pasteur/zeus/projets/p01/BioIT/amine/expected.tsv", sep="\t" + ) assert filtered_cov.reset_index(drop=True).equals(expected_output) @@ -87,15 +91,15 @@ def test_get_msp_variant(strain_builder, datadir: Path, tmp_path: Path): assert PA.exists() with BS.open("rb") as out: # assert md5(out.read()).hexdigest() == "958199bf4afa9adb56c9e0100a0cc23c" - assert md5(out.read()).hexdigest() == "b6b87174554ca33cc4a8923be4e780f7" + assert md5(out.read()).hexdigest() == "c0f943768ca8629b8be4a995bb3af341" with PA.open("rb") as out: # assert md5(out.read()).hexdigest() == "cec667aad0449853b3bd7db689dd7ed3" - assert md5(out.read()).hexdigest() == "b4eadbd604c765a2579bf742ae27386a" + assert md5(out.read()).hexdigest() == "cec667aad0449853b3bd7db689dd7ed3" def test_execute(strain_builder, tmp_path: Path) -> None: strain_builder.execute() BS = tmp_path / "strain" / "test" / "BS.fasta.xz" assert BS.exists() - # with BS.open("rb") as out: - # assert md5(out.read()).hexdigest() == "83d3a5f89b89df438dc1751009801fc6" + with BS.open("rb") as out: + assert md5(out.read()).hexdigest() == "1da5a4bf1efd32b58e12e42ae971fe3f" diff --git a/meteor/tests/test_strain/catalogue/mock/database/mock_annotation.tsv b/meteor/tests/test_strain/catalogue/mock/database/mock_annotation.tsv new file mode 100644 index 0000000..14d4ac1 --- /dev/null +++ b/meteor/tests/test_strain/catalogue/mock/database/mock_annotation.tsv @@ -0,0 +1,29921 @@ +gene_id gene_name gene_length +1 BS1_1 777 +2 BS1_2 198 +3 BS1_3 240 +4 BS1_4 693 +5 BS1_5 1776 +6 BS1_6 180 +7 BS1_7 1452 +8 BS1_8 897 +9 BS1_9 999 +10 BS1_10 831 +11 BS1_11 1137 +12 BS1_12 507 +13 BS1_13 270 +14 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b/meteor/tests/test_strain/catalogue/mock/mock_reference.json @@ -1 +1,26 @@ -{"reference_info": {"reference_name": "mock", "database_type": "complete", "reference_date": "2023-03-14"}, "reference_file": {"database_dir": "database", "fasta_dir": "fasta", "fasta_filename": "mock.fasta.gz"}, "annotation":{"bed": {"filename": "mock.bed", "version": "1.0"}, "msp": {"filename": "mock_genomes.tsv", "version": "1.0"}}} \ No newline at end of file +{ + "reference_info": { + "reference_name": "mock", + "database_type": "complete", + "reference_date": "2023-03-14" + }, + "reference_file": { + "database_dir": "database", + "fasta_dir": "fasta", + "fasta_filename": "mock.fasta.gz" + }, + "annotation": { + "bed": { + "filename": "mock.bed", + "version": "1.0" + }, + "msp": { + "filename": "mock_genomes.tsv", + "version": "1.0" + }, + "gene_id": { + "filename": "mock_annotation.tsv", + "version": "1.0" + } + } +} \ No newline at end of file diff --git a/meteor/tests/test_strain/expected_output/filtered_cov.tsv b/meteor/tests/test_strain/expected_output/filtered_cov.tsv index dec0abc..faf867c 100644 --- a/meteor/tests/test_strain/expected_output/filtered_cov.tsv +++ b/meteor/tests/test_strain/expected_output/filtered_cov.tsv @@ -1,4 +1,5 @@ gene_id startpos_x endpos_x numreads covbases coverage meandepth meanbaseq meanmapq startpos_y endpos_y +1 1 777 25 661 85.0708 2.25225 255 255.0 0 777 5 1 1776 62 1637 92.1734 2.44369 255 255.0 0 1776 8 1 897 32 738 82.2742 2.49721 255 255.0 0 897 9 1 999 31 941 94.1942 2.17217 255 255.0 0 999 diff --git a/meteor/tests/test_variantcalling.py b/meteor/tests/test_variantcalling.py index 543f38b..1b7d75b 100644 --- a/meteor/tests/test_variantcalling.py +++ b/meteor/tests/test_variantcalling.py @@ -18,6 +18,7 @@ import json from pysam import AlignmentFile, FastaFile import pandas as pd +import shutil # from subprocess import run from pandas.testing import assert_frame_equal @@ -49,7 +50,7 @@ def fixture_vc_builder(datadir: Path, tmp_path: Path) -> VariantCalling: "Stage3FileName": stage3_dir / census_json_file.name, "reference": ref_json, } - return VariantCalling(meteor, data_dict, 100, 3, 1, 0.01, 1) + return VariantCalling(meteor, data_dict, 100, 3, 1, 0.01, 1, 100) def test_group_consecutive_positions(vc_builder: VariantCalling, datadir) -> None: @@ -118,9 +119,15 @@ def test_create_consensus( bed_file, ) assert consensus_file.exists() + # print(consensus_file) - # with consensus_file.open("rb") as consensus: - # assert md5(consensus.read()).hexdigest() == "916fe0018af1eebc59592a75c770570b" + with consensus_file.open("rb") as consensus: + if md5(consensus.read()).hexdigest() == "916fe0018af1eebc59592a75c770570b": + output_path = "/pasteur/appa/homes/aghozlan/consensus1.fasta.xz" + else: + output_path = "/pasteur/appa/homes/aghozlan/consensus2.fasta.xz" + with open(output_path, "wb") as output: + shutil.copyfileobj(consensus, output) def test_execute(vc_builder: VariantCalling) -> None: diff --git a/meteor/tests/test_variantcalling/eva71/database/eva71_annotation.tsv b/meteor/tests/test_variantcalling/eva71/database/eva71_annotation.tsv new file mode 100644 index 0000000..d8b6e16 --- /dev/null +++ b/meteor/tests/test_variantcalling/eva71/database/eva71_annotation.tsv @@ -0,0 +1,2 @@ +gene_id gene_name gene_length +1 EVA71_BrCr_U22521 7408 diff --git a/meteor/tests/test_variantcalling/eva71/database/eva71_msp.tsv b/meteor/tests/test_variantcalling/eva71/database/eva71_msp.tsv new file mode 100644 index 0000000..fe18749 --- /dev/null +++ b/meteor/tests/test_variantcalling/eva71/database/eva71_msp.tsv @@ -0,0 +1,2 @@ +msp_name gene_id gene_name gene_category +msp_0001 1 EVA71_BrCr_U22521 core diff --git a/meteor/tests/test_variantcalling/eva71/eva71_reference.json b/meteor/tests/test_variantcalling/eva71/eva71_reference.json index 7abbab6..047c73c 100644 --- a/meteor/tests/test_variantcalling/eva71/eva71_reference.json +++ b/meteor/tests/test_variantcalling/eva71/eva71_reference.json @@ -13,6 +13,14 @@ "bed": { "filename": "eva71.bed", "version": "1.0" + }, + "gene_id": { + "filename": "eva71_annotation.tsv", + "version": "1.0" + }, + "msp": { + "filename": "eva71_msp.tsv", + "version": "1.0" } } } \ No newline at end of file diff --git a/meteor/variantcalling.py b/meteor/variantcalling.py index d4f359f..521b20c 100644 --- a/meteor/variantcalling.py +++ b/meteor/variantcalling.py @@ -64,6 +64,7 @@ class VariantCalling(Session): min_snp_depth: int min_frequency: float ploidy: int + core_size: int def set_variantcalling_config( self, @@ -284,10 +285,12 @@ def create_consensus( ): """Generate a consensus sequence by applying VCF variants to the provided reference genome.""" # Read the CSV file using pandas - bed_set = set( - pd.read_csv(bed_file, usecols=[0], sep="\t", header=None) - .iloc[:, 0] - .astype(int) + bed_set = sorted( + set( + pd.read_csv(bed_file, usecols=[0], sep="\t", header=None) + .iloc[:, 0] + .astype(int) + ) ) # low_cov_sites_dict = low_cov_sites.groupby(low_cov_sites.index).apply(lambda x: x.to_dict(orient='records')).to_dict() with VariantFile(vcf_file) as vcf: @@ -381,7 +384,52 @@ def execute(self) -> None: self.meteor.ref_dir / self.census["reference"]["reference_file"]["database_dir"] / self.census["reference"]["annotation"]["bed"]["filename"] + ).resolve() + msp_file = ( + self.meteor.ref_dir + / self.census["reference"]["reference_file"]["database_dir"] + / self.census["reference"]["annotation"]["msp"]["filename"] + ) + print(self.census) + annotation_file = ( + self.meteor.ref_dir + / self.census["reference"]["reference_file"]["database_dir"] + / self.census["reference"]["annotation"]["gene_id"]["filename"] + ) + + msp_content = pd.read_csv( + msp_file, + sep="\t", + # names=["msp_name", "gene_id", "gene_name", "gene_category"], + header=0, ) + gene_details = pd.read_csv( + annotation_file, + sep="\t", + # names=["gene_id", "gene_name", "gene_length"], + header=0, + ) + if self.census["reference"]["reference_info"]["database_type"] == "complete": + msp_content = msp_content.loc[msp_content["gene_category"] == "core"] + msp_content = ( + msp_content.groupby("msp_name") + .head(self.core_size) + .reset_index(drop=True) + ) + # print(msp_content) + # print(gene_details) + merged_df = pd.merge(msp_content, gene_details, on="gene_id") + # Add a constant column with value 0 + merged_df["startpos"] = 0 + # Extract the required columns + result_df = merged_df[["gene_id", "startpos", "gene_length"]] + with NamedTemporaryFile(suffix=".bed", delete=False) as temp_bed_file: + result_df.to_csv( + temp_bed_file.name, sep="\t", index=False, header=False + ) + # print("Why is empty ?") + # print(temp_bed_file.name) + bed_file = temp_bed_file.name freebayes_exec = run( ["freebayes", "--version"], check=False, capture_output=True ) @@ -424,7 +472,7 @@ def execute(self) -> None: "--min-alternate-fraction", str(self.min_frequency), "-t", - str(bed_file.resolve()), + str(bed_file), "-p", str(self.ploidy), "-f", @@ -439,6 +487,7 @@ def execute(self) -> None: freebayes_output = freebayes_process.communicate( input=decompressed_reference )[0] + # print(freebayes_output) # compress output using bgzip with open(str(vcf_file.resolve()), "wb") as raw: with bgzip.BGZipWriter(raw) as fh: