Workflow Type: Nextflow
Stable

Rare disease researchers workflow is that they submit their raw data (fastq), run the mapping and variant calling RD-Connect pipeline and obtain unannotated gvcf files to further submit to the RD-Connect GPAP or analyse on their own.

This demonstrator focuses on the variant calling pipeline. The raw genomic data is processed using the RD-Connect pipeline (Laurie et al., 2016) running on the standards (GA4GH) compliant, interoperable container orchestration platform.

This demonstrator will be aligned with the current implementation study on Development of Architecture for Software Containers at ELIXIR and its use by EXCELERATE use-case communities

For this implementation, different steps are required:

  1. Adapt the pipeline to CWL and dockerise elements
  2. Align with IS efforts on software containers to package the different components (Nextflow)
  3. Submit trio of Illumina NA12878 Platinum Genome or Exome to the GA4GH platform cloud (by Aspera or ftp server)
  4. Run the RD-Connect pipeline on the container platform
  5. Return corresponding gvcf files
  6. OPTIONAL: annotate and update to RD-Connect playground instance

N.B: The demonstrator might have some manual steps, which will not be in production.

RD-Connect pipeline

Detailed information about the RD-Connect pipeline can be found in Laurie et al., 2016

alt text

The applications

1. Name of the application: Adaptor removal Function: remove sequencing adaptors
Container (readiness status, location, version): cutadapt (v.1.18)
Required resources in cores and RAM: current container size 169MB
Input data (amount, format, directory..): raw fastq
Output data: paired fastq without adaptors

2. Name of the application: Mapping and bam sorting Function: align data to reference genome
Container : bwa-mem (v.0.7.17) / Sambamba (v. 0.6.8 )(or samtools)
Resources :current container size 111MB / 32MB
Input data: paired fastq without adaptors
Output data: sorted bam

3. Name of the application: MarkDuplicates
Function: Mark (and remove) duplicates
Container: Picard (v.2.18.25) Resources: current container size 261MB
Input data:sorted bam
Output data: Sorted bam with marked (or removed) duplicates

4. Name of the application: Base quality recalibration (BQSR)
Function: Base quality recalibration
Container: GATK (v.3.6-0) Resources: current container size 270MB
Input data: Sorted bam with marked (or removed) duplicates
Output data: Sorted bam with marked duplicates & base quality recalculated

5. Name of the application: Variant calling
Function: variant calling
Container: GATK (v.3.6-0) Resources: current container size 270MB
Input data:Sorted bam with marked duplicates & base quality recalculated
Output data: unannotated gvcf per sample

6. (OPTIONAL)Name of the application: Quality of the fastq
Function: report on the sequencing quality
Container: fastqc 0.11.8 Resources: current container size 173MB
Input data: raw fastq
Output data: QC report

Licensing

GATK declares that archived packages are made available for free to academic researchers under a limited license for non-commercial use. If you need to use one of these packages for commercial use. https://software.broadinstitute.org/gatk/download/archive

Total size: 103 KB
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Views: 998   Downloads: 17

Created: 23rd Jul 2020 at 10:42

Last updated: 21st May 2021 at 09:53

Last used: 28th Sep 2021 at 04:17

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Version History

Version 5 (latest) Created 21st May 2021 at 09:53 by José Mª Fernández

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Version 4 Created 23rd Mar 2021 at 03:19 by Laura Rodriguez-Navas

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Version 3 Created 19th Mar 2021 at 13:06 by José Mª Fernández

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Version 2 Created 18th Mar 2021 at 11:12 by Laura Rodriguez-Navas

Minor fixes on parameters null value checking


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Version 1 (earliest) Created 23rd Jul 2020 at 10:42 by Laura Rodriguez-Navas

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