V-pipe is a workflow designed for the analysis of next generation sequencing (NGS) data from viral pathogens. It produces a number of results in a curated format (e.g., consensus sequences, SNV calls, local/global haplotypes). V-pipe is written using the Snakemake workflow management system.
Different ways of initializing V-pipe are presented below. We strongly encourage you to deploy it using the quick install script, as this is our preferred method.
To configure V-pipe refer to the documentation present in config/README.md.
V-pipe expects the input samples to be organized in a two-level directory hierarchy,
and the sequencing reads must be provided in a sub-folder named raw_data. Further details can be found on the website.
Check the utils subdirectory for mass-importers tools that can assist you in generating this hierarchy.
We provide virus-specific base configuration files which contain handy defaults for, e.g., HIV and SARS-CoV-2. Set the virus in the general section of the configuration file:
general:
virus_base_config: hivAlso see snakemake's documentation to learn more about the command-line options available when executing the workflow.
Tutorials introducing usage of V-pipe are available in the docs/ subdirectory.
To deploy V-pipe, use the installation script with the following parameters:
curl -O 'https://raw.githubusercontent.com/cbg-ethz/V-pipe/master/utils/quick_install.sh'
./quick_install.sh -w workThis script will download and install miniconda, checkout the V-pipe git repository (use -b to specify which branch/tag) and setup a work directory (specified with -w) with an executable script that will execute the workflow:
cd work
# edit config.yaml and provide samples/ directory
./vpipe --jobs 4 --printshellcmds --dry-runNote: the docker image is only setup with components to run the workflow for HIV and SARS-CoV-2 virus base configurations. Using V-pipe with other viruses or configurations might require internet connectivity for additional software components.
Create config.yaml or vpipe.config and then populate the samples/ directory.
For example, the following config file could be used:
general:
virus_base_config: hiv
output:
snv: true
local: true
global: false
visualization: true
QA: trueThen execute:
docker run --rm -it -v $PWD:/work ghcr.io/cbg-ethz/v-pipe:master --jobs 4 --printshellcmds --dry-runFirst install mamba, then create and activate an environment with Snakemake and Snakedeploy:
mamba create -c conda-forge -c bioconda --name snakemake snakemake snakedeploy
conda activate snakemakeSnakemake's official workflow installer Snakedeploy can now be used:
snakedeploy deploy-workflow https://github.com/cbg-ethz/V-pipe --tag master .
# edit config/config.yaml and provide samples/ directory
snakemake --use-conda --jobs 4 --printshellcmds --dry-run-
Conda is a cross-platform package management system and an environment manager application. Snakemake uses mamba as a package manager.
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Snakemake is the central workflow and dependency manager of V-pipe. It determines the order in which individual tools are invoked and checks that programs do not exit unexpectedly.
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VICUNA is a de novo assembly software designed for populations with high mutation rates. It is used to build an initial reference for mapping reads with ngshmmalign aligner when a
references/cohort_consensus.fastafile is not provided. Further details can be found in the wiki pages.
Other dependencies are managed by using isolated conda environments per rule, and below we list some of the computational tools integrated in V-pipe:
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FastQC gives an overview of the raw sequencing data. Flowcells that have been overloaded or otherwise fail during sequencing can easily be determined with FastQC.
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Trimming and clipping of reads is performed by PRINSEQ. It is currently the most versatile raw read processor with many customization options.
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We perform the alignment of the curated NGS data using our custom ngshmmalign that takes structural variants into account. It produces multiple consensus sequences that include either majority bases or ambiguous bases.
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In order to detect specific cross-contaminations with other probes, the Burrows-Wheeler aligner is used. It quickly yields estimates for foreign genomic material in an experiment. Additionally, It can be used as an alternative aligner to ngshmmalign.
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To standardise multiple samples to the same reference genome (say HXB2 for HIV-1), the multiple sequence aligner MAFFT is employed. The multiple sequence alignment helps in determining regions of low conservation and thus makes standardisation of alignments more robust.
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The Swiss Army knife of alignment postprocessing and diagnostics. bcftools is also used to generate consensus sequence with indels.
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We perform genomic liftovers to standardised reference genomes using our in-house developed python library of utilities for rewriting alignments.
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ShoRAh performs SNV calling and local haplotype reconstruction by using bayesian clustering.
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LoFreq (version 2) is SNVs and indels caller from next-generation sequencing data, and can be used as an alternative engine for SNV calling.
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SAVAGE and Haploclique
We use HaploClique or SAVAGE to perform global haplotype reconstruction for heterogeneous viral populations by using an overlap graph.
If you use this software in your research, please cite:
Posada-Céspedes S., Seifert D., Topolsky I., Jablonski K.P., Metzner K.J., and Beerenwinkel N. 2021. "V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput sequencing data." Bioinformatics, January. doi:10.1093/bioinformatics/btab015.
- Ivan Topolsky*
,
- Pelin Icer Baykal
- Kim Philipp Jablonski
- Lara Fuhrmann
- Uwe Schmitt
- Michal Okoniewski
- Monica Dragan
- Susana Posada Céspedes
- David Seifert
- Tobias Marschall
- Niko Beerenwinkel**
* software maintainer ; ** group leader
We encourage users to use the issue tracker. For further enquiries, you can also contact the V-pipe Dev Team [email protected].
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