TheiaCoV_FASTA_Batch: TheiaCoV_FASTA, for many samples at once

.dockstore.yml

@@ -50,6 +50,11 @@ workflows:
    primaryDescriptorPath: /workflows/theiacov/wf_theiacov_fasta.wdl
    testParameterFiles:
     - empty.json
+ - name: TheiaCoV_FASTA_Batch_PHB
+   subclass: WDL
+   primaryDescriptorPath: /workflows/theiacov/wf_theiacov_fasta_batch.wdl
+   testParameterFiles:
+    - empty.json
  - name: Mercury_Prep_N_Batch_PHB
    subclass: WDL
    primaryDescriptorPath: /workflows/submission/wf_mercury_prep_n_batch.wdl

tasks/utilities/task_theiacov_fasta_batch.wdl

@@ -0,0 +1,225 @@
+version 1.0
+
+task sm_theiacov_fasta_wrangling { # the sm stands for supermassive
+  input {
+    String table_name
+    String workspace_name
+    String project_name
+    String bucket_name
+
+    Array[Pair[String, File]] sample_to_fasta
+    String organism = "sars-cov-2"
+
+    File? nextclade_tsv
+    File? nextclade_json
+    String? nextclade_docker
+    String? nextclade_version
+    String? nextclade_ds_tag
+
+    File? pango_lineage_report
+    String? pangolin_docker
+
+    String seq_platform
+    String assembly_method
+    String theiacov_fasta_analysis_date
+    String theiacov_fasta_version
+
+    Int disk_size = 100
+  }
+  command <<<
+    # convert the map into a JSON file for use in the python block
+    # example map: {ERR4439752.test: /mnt/miniwdl_task_container/work/_miniwdl_inputs/0/ERR4439752.ivar.consensus.fasta}
+    cp -v ~{write_json(sample_to_fasta)} sample_to_fasta.json
+
+    # check if nextclade json file exists
+    if [ -f ~{nextclade_json} ]; then
+      # this line splits into individual json files
+      jq -c '.results = (.results[] | [.]) ' ~{nextclade_json} | awk '{ print > "out" NR ".json"}'
+
+      # rename each individual json file with the sample name
+      for file in out*.json; do
+        samplename=$(jq -r '.results[].seqName' ${file})
+        cp -v ${file} ${samplename}.nextclade.json
+      done
+
+      # transfer all the json files to the bucket for access in Terra -- not sure if this works on Terra
+      gcloud storage cp -v *.nextclade.json gs://~{bucket_name}/theiacov_fasta_batch-~{theiacov_fasta_analysis_date}/nextclade_json/
+    fi
+
+    # check if pangolin lineage report file exists
+    if [ -f ~{pango_lineage_report} ]; then
+      # split the pangolin lineage report into individual csv files named by the taxon
+      awk 'BEGIN {FS=","} NR==1 {header=$0; next} {print header > $1".pangolin_report.csv" ; print $0 >> $1".pangolin_report.csv"}' ~{pango_lineage_report}
+
+      # transfer all pangolin lineage report files to the bucket for access in Terra
+      gcloud storage cp -v *pangolin_report.csv gs://~{bucket_name}/theiacov_fasta_batch-~{theiacov_fasta_analysis_date}/pangolin_report/
+    fi
+
+    echo "DEBUG: Now entering Python block to perform parsing of data for populating sample-level table"
+
+    python3 <<CODE 
+    import pandas as pd 
+    import numpy as np 
+    import json
+    import csv
+    import os 
+    import re
+
+    # parse the map of sample names to fasta files
+    with open("sample_to_fasta.json") as map_file:
+      pair_list = json.load(map_file)
+
+      # reformat the array of pairs into a dictionary
+      sample_to_fasta = {}
+      for item in pair_list:
+        # left & right is the syntax for WDL pairs
+        key = item["left"]
+        value = item["right"]
+        sample_to_fasta[key] = value
+
+      # fix assembly_name to be the basename of the fasta file
+      sample_to_assembly = {name:re.split("[.]", os.path.basename(assembly))[0] for name, assembly in sample_to_fasta.items()}
+
+    # create a sample-level table to upload to terra
+    upload_table = pd.DataFrame(sample_to_assembly.keys(), columns=["entity:~{table_name}_id"]).set_index("entity:~{table_name}_id")
+
+    # fill in the standard output parameters
+    upload_table["seq_platform"] = "~{seq_platform}"
+    upload_table["assembly_method"] = "~{assembly_method}"
+    upload_table["theiacov_fasta_analysis_date"] = "~{theiacov_fasta_analysis_date}"
+    upload_table["theiacov_fasta_version"] = "~{theiacov_fasta_version}"
+
+    # parse the NextClade output into an individual dataframe if a NextClade file exists
+    if os.path.exists("~{nextclade_tsv}"):
+      print("DEBUG: NEXTCLADE output TSV file identified; now parsing into a dataframe")
+      nextclade = pd.read_csv("~{nextclade_tsv}", delimiter='\t')
+
+      upload_table["nextclade_version"] = "~{nextclade_version}"
+      upload_table["nextclade_docker"] = "~{nextclade_docker}"
+      upload_table["nextclade_ds_tag"] = "~{nextclade_ds_tag}"
+
+      for sample_name in sample_to_assembly.keys():        
+        assembly_name = sample_to_assembly[sample_name]
+
+        if nextclade["seqName"].str.contains(assembly_name).any():
+          if ("~{organism}" == "sars-cov-2"):
+            nc_clade = str(nextclade.loc[nextclade["seqName"] == assembly_name]["clade_nextstrain"].item())
+            who_clade = str(nextclade.loc[nextclade["seqName"] == assembly_name]["clade_who"].item())
+            if (nc_clade != who_clade) and (nc_clade != "") and (who_clade != "") and (who_clade != "nan"):
+              nc_clade = nc_clade + " (" + who_clade + ")"
+            if nc_clade == "":
+              nc_clade = "NA"
+          else:
+            nc_clade = str(nextclade.loc[nextclade["seqName"] == assembly_name]["clade"].item())
+            if nc_clade == "":
+              nc_clade = "NA"
+          # replace nextclade value in datatable if exists, if not, create it
+          if "nextclade_clade" not in upload_table.columns:
+            upload_table["nextclade_clade"] = ""
+          upload_table.at[sample_name, "nextclade_clade"] = nc_clade
+
+          # parse nextclade_aa_subs
+          nc_aa_subs = str(nextclade.loc[nextclade["seqName"] == assembly_name]["aaSubstitutions"].item())
+          if nc_aa_subs == "":
+            nc_aa_subs = "NA"
+          elif ("~{organism}" == "flu"):
+            print("FLU NOT SUPPORTED YET")
+          if "nextclade_aa_subs" not in upload_table.columns:
+            upload_table["nextclade_aa_subs"] = ""
+          upload_table.at[sample_name, "nextclade_aa_subs"] = nc_aa_subs
+
+          # parse nextclade_aa_dels
+          nc_aa_dels = str(nextclade.loc[nextclade["seqName"] == assembly_name]["aaDeletions"].item())
+          if nc_aa_dels == "":
+            nc_aa_dels = "NA"
+          if "nextclade_aa_dels" not in upload_table.columns:
+            upload_table["nextclade_aa_dels"] = ""
+          upload_table.at[sample_name, "nextclade_aa_dels"] = nc_aa_dels
+
+          # parse nextclade_lineage
+          try:
+            nc_lineage = str(nextclade.loc[nextclade["seqName"] == assembly_name]["lineage"].item())
+          except KeyError:
+            nc_lineage = ""
+          if nc_lineage == "":
+            nc_lineage = "NA"
+          if "nextclade_lineage" not in upload_table.columns:
+            upload_table["nextclade_lineage"] = ""
+          upload_table.at[sample_name, "nextclade_lineage"] = nc_lineage
+
+          # add path to individual json to table
+          if "nextclade_json" not in upload_table.columns:
+            upload_table["nextclade_json"] = ""
+          upload_table.at[sample_name, "nextclade_json"] = "gs://~{bucket_name}/theiacov_fasta_batch-~{theiacov_fasta_analysis_date}/nextclade_json/{}.nextclade.json".format(assembly_name)
+
+    # parse the Pangolin lineage report into an individual dataframe if a Pangolin report file exists
+    if os.path.exists("~{pango_lineage_report}"):
+      print("DEBUG: PANGOLIN lineage report file identified; now parsing into a dataframe")
+      pango_lineage_report = pd.read_csv("~{pango_lineage_report}", delimiter=',')
+
+      upload_table["pangolin_docker"] = "~{pangolin_docker}"
+
+      pangolin_version = pango_lineage_report.loc[pango_lineage_report["taxon"] == assembly_name]["pangolin_version"].item()
+      version = pango_lineage_report.loc[pango_lineage_report["taxon"] == assembly_name]["version"].item()
+      upload_table["pangolin_version"] = "pangolin {}; {}".format(pangolin_version, version)
+
+      # iterate through results and add to table
+      for sample_name in sample_to_assembly.keys():        
+        assembly_name = sample_to_assembly[sample_name]
+
+        if pango_lineage_report["taxon"].str.contains(assembly_name).any():
+          # parse pango_lineage from pango lineage report
+          pango_lineage = pango_lineage_report.loc[pango_lineage_report["taxon"] == assembly_name]["lineage"].item()
+          if "pango_lineage" not in upload_table.columns:
+            upload_table["pango_lineage"] = ""
+          upload_table.at[sample_name, "pango_lineage"] = pango_lineage
+
+          # parse pango_lineage_expanded from pango lineage report
+          try:
+            pango_lineage_expanded = pango_lineage_report.loc[pango_lineage_report["taxon"] == assembly_name]["expanded_lineage"].item()
+          except KeyError:
+              pango_lineage_expanded = ""
+          if "pango_lineage_expanded" not in upload_table.columns:
+            upload_table["pango_lineage_expanded"] = ""
+          upload_table.at[sample_name, "pango_lineage_expanded"] = pango_lineage_expanded
+
+          # parse pangolin_conflicts from pango lineage report
+          pangolin_conflicts = pango_lineage_report.loc[pango_lineage_report["taxon"] == assembly_name]["conflict"].item()
+          if "pangolin_conflicts" not in upload_table.columns:
+            upload_table["pangolin_conflicts"] = ""
+          upload_table.at[sample_name, "pangolin_conflicts"] = pangolin_conflicts
+
+          # parse pangolin_notes from pango lineage report
+          pangolin_notes = pango_lineage_report.loc[pango_lineage_report["taxon"] == assembly_name]["note"].item()
+          if "pangolin_notes" not in upload_table.columns:
+            upload_table["pangolin_notes"] = ""
+          upload_table.at[sample_name, "pangolin_notes"] = pangolin_notes
+
+          # add path to individual csv to table
+          if "pango_lineage_report" not in upload_table.columns:
+            upload_table["pango_lineage_report"] = ""
+          upload_table.at[sample_name, "pango_lineage_report"] = "gs://~{bucket_name}/theiacov_fasta_batch-~{theiacov_fasta_analysis_date}/pangolin_report/{}.pangolin_report.csv".format(assembly_name)
+
+    # to-do: add VADR outputs
+
+    upload_table.to_csv("terra-table-to-upload.tsv", sep='\t', index=True)
+
+    CODE
+
+    # upload results to terra databable 
+    python3 /scripts/import_large_tsv/import_large_tsv.py --project "~{project_name}" --workspace "~{workspace_name}" --tsv terra-table-to-upload.tsv
+
+    echo "DEBUG: upload to terra table complete"
+  >>>
+  output {
+    File terra_table = "terra-table-to-upload.tsv"
+  }
+  runtime {
+    docker: "us-docker.pkg.dev/general-theiagen/theiagen/terra-tools:2023-08-28-v4"
+    memory: "8 GB"
+    cpu: 4
+    disks:  "local-disk " + disk_size + " SSD"
+    disk: disk_size + " GB"
+    preemptible: 0
+  }
+}

workflows/theiacov/wf_theiacov_fasta_batch.wdl

@@ -0,0 +1,88 @@
+version 1.0
+
+import "../../tasks/species_typing/task_pangolin.wdl" as pangolin_task
+import "../../tasks/task_versioning.wdl" as versioning
+import "../../tasks/taxon_id/task_nextclade.wdl" as nextclade_task
+import "../../tasks/utilities/task_file_handling.wdl" as concatenate
+import "../../tasks/utilities/task_theiacov_fasta_batch.wdl" as theiacov_fasta_wrangling_task
+
+workflow theiacov_fasta_batch {
+  meta {
+    description: "TheiaCoV_FASTA for multiple samples"
+  }
+  input {
+    Array[String] samplenames
+    Array[File] assembly_fastas
+    String organism = "sars-cov-2"
+    # sequencing values
+    String seq_method
+    String input_assembly_method
+    # nextclade inputs
+    String nextclade_dataset_reference = "MN908947"
+    String nextclade_dataset_tag = "2023-09-21T12:00:00Z"
+    String? nextclade_dataset_name
+    # workspace values
+    String table_name
+    String workspace_name
+    String project_name
+    String bucket_name
+  }
+  call versioning.version_capture{
+    input:
+  }
+  call concatenate.cat_files {
+    input: 
+      files_to_cat = assembly_fastas,
+      concatenated_file_name = "concatenated_assemblies.fasta"
+  }
+  if (organism == "sars-cov-2") {
+    # sars-cov-2 specific tasks
+    call pangolin_task.pangolin4 {
+      input:
+        samplename = "concatenated_assemblies",
+        fasta = cat_files.concatenated_files
+    }
+  }
+  if (organism == "MPXV" || organism == "sars-cov-2"){
+    # tasks specific to either MPXV or sars-cov-2 
+    call nextclade_task.nextclade {
+      input:
+      genome_fasta = cat_files.concatenated_files,
+      dataset_name = select_first([nextclade_dataset_name, organism]),
+      dataset_reference = nextclade_dataset_reference,
+      dataset_tag = nextclade_dataset_tag
+    }
+  }
+  call theiacov_fasta_wrangling_task.sm_theiacov_fasta_wrangling {
+    input:
+      table_name = table_name,
+      workspace_name = workspace_name,
+      project_name = project_name,
+      bucket_name = bucket_name,
+      sample_to_fasta = zip(samplenames, assembly_fastas),
+      organism = organism,
+      nextclade_tsv = nextclade.nextclade_tsv,
+      nextclade_docker = nextclade.nextclade_docker,
+      nextclade_version = nextclade.nextclade_version,
+      nextclade_ds_tag = nextclade_dataset_tag,
+      nextclade_json = nextclade.nextclade_json,
+      pango_lineage_report = pangolin4.pango_lineage_report,
+      pangolin_docker = pangolin4.pangolin_docker,
+      seq_platform = seq_method,
+      assembly_method = input_assembly_method,
+      theiacov_fasta_analysis_date = version_capture.date,
+      theiacov_fasta_version = version_capture.phb_version
+  }
+  output {
+    # Version Capture
+    String theiacov_fasta_batch_version = version_capture.phb_version
+    String theiacov_fasta_batch_analysis_date = version_capture.date
+    # Pangolin outputs
+    File? pango_lineage_report = pangolin4.pango_lineage_report
+    # Nextclade outputs
+    File? nextclade_json = nextclade.nextclade_json
+    File? nextclade_tsv = nextclade.nextclade_tsv
+    # Wrangling outputs
+    File datatable = sm_theiacov_fasta_wrangling.terra_table
+  }
+}