nf-core/fetchngs
Pipeline to fetch metadata and raw FastQ files from public databases
1.1
). The latest
stable release is
1.12.0
.
Introduction
This document describes the output produced by the pipeline. The directories listed below will be created in the results directory after the pipeline has finished. All paths are relative to the top-level results directory.
Pipeline overview
The pipeline is built using Nextflow and processes data using the following steps:
- FastQ download - Download FastQ files via SRA / ENA / GEO ids
- Pipeline information - Report metrics generated during the workflow execution
FastQ download
Output files
fastq/
*.fastq.gz
: Paired-end/single-end reads downloaded from the ENA / SRA.
fastq/md5/
*.md5
: Files containingmd5
sum for FastQ files downloaded from the ENA / SRA.
samplesheet/
samplesheet.csv
: Auto-created samplesheet with collated metadata and paths to downloaded FastQ files.id_mappings.csv
: File with selected fields that can be used to rename samples to more informative names; see--sample_mapping_fields
parameter to customise this behaviour.multiqc_config.yml
: MultiQC config file that can be passed to most nf-core pipelines via the--multiqc_config
parameter for bulk renaming of sample names from database ids;--sample_mapping_fields
parameter to customise this behaviour.
metadata/
*.runinfo_ftp.tsv
: Re-formatted metadata file downloaded from the ENA.*.runinfo.tsv
: Original metadata file downloaded from the ENA.
Please see the usage documentation for a list of supported public repository identifiers and how to provide them to the pipeline. The final sample information for all identifiers is obtained from the ENA which provides direct download links for FastQ files as well as their associated md5sums. If download links exist, the files will be downloaded in parallel by FTP otherwise they will NOT be downloaded. This is intentional because the tools such as parallel-fastq-dump
, fasterq-dump
, prefetch
etc require pre-existing configuration files in the users home directory which makes automation tricky across different platforms and containerisation.
Pipeline information
Output files
pipeline_info/
- Reports generated by Nextflow:
execution_report.html
,execution_timeline.html
,execution_trace.txt
andpipeline_dag.dot
/pipeline_dag.svg
. - Reports generated by the pipeline:
pipeline_report.html
,pipeline_report.txt
andsoftware_versions.tsv
.
- Reports generated by Nextflow:
Nextflow provides excellent functionality for generating various reports relevant to the running and execution of the pipeline. This will allow you to troubleshoot errors with the running of the pipeline, and also provide you with other information such as launch commands, run times and resource usage.