sv-callers is a Snakemake-based workflow that combines several state-of-the-art tools for detecting structural variants (SVs) in whole genome sequencing data. This workflow is easy to use and to deploy on any Linux-based machine. In particular, the workflow supports automated software deployment, easy configuration and addition of new analysis tools as well as enables to scale from a single computer to different HPC clusters with minimal effort. The workflow includes the following SV callers Manta (1.1.0) DELLY (0.7.7) LUMPY (0.2.13) GRIDSS (1.3.4) and post-processing tools BCFtools (1.9) Viola-SV (1.0.2) SURVIVOR (1.0.6
Background: The human genome contains variants ranging in size from small single nucleotide polymorp...
The complexity of structural variation (SV) and short tandem repeats (STRs) makes it necessary to ap...
From prokaryotes to eukaryotes, phenotypic variation, adaptation and speciation has been associated ...
sv-callers is a Snakemake-based workflow that combines several state-of-the-art tools for detecting ...
sv-gen is a Snakemake-based workflow to generate artificial short-read alignments with(out) structur...
This distribution includes data analyzed by the sv-callers workflow (v1.1.0) in the single-sample (g...
Background Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms...
Background: Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms...
<p>Background: Many tools exist to predict structural variants (SVs), utilizing a variety of algorit...
SUMMARY: Large-scale human genetics studies are now employing whole genome sequencing with the goal ...
Background: Structural variations (SVs), such as insertions, deletions, inversions, and duplications...
As long-read sequencing (LRS) technologies mature, several bioinformatics tools designed to identify...
As long-read sequencing (LRS) technologies mature, several bioinformatics tools designed to identify...
Introduction: With the advent of genomic sequencing, the identification of structural variants (SVs)...
The impact of structural variants (SVs) on a variety of organisms and diseases like cancer has becom...
Background: The human genome contains variants ranging in size from small single nucleotide polymorp...
The complexity of structural variation (SV) and short tandem repeats (STRs) makes it necessary to ap...
From prokaryotes to eukaryotes, phenotypic variation, adaptation and speciation has been associated ...
sv-callers is a Snakemake-based workflow that combines several state-of-the-art tools for detecting ...
sv-gen is a Snakemake-based workflow to generate artificial short-read alignments with(out) structur...
This distribution includes data analyzed by the sv-callers workflow (v1.1.0) in the single-sample (g...
Background Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms...
Background: Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms...
<p>Background: Many tools exist to predict structural variants (SVs), utilizing a variety of algorit...
SUMMARY: Large-scale human genetics studies are now employing whole genome sequencing with the goal ...
Background: Structural variations (SVs), such as insertions, deletions, inversions, and duplications...
As long-read sequencing (LRS) technologies mature, several bioinformatics tools designed to identify...
As long-read sequencing (LRS) technologies mature, several bioinformatics tools designed to identify...
Introduction: With the advent of genomic sequencing, the identification of structural variants (SVs)...
The impact of structural variants (SVs) on a variety of organisms and diseases like cancer has becom...
Background: The human genome contains variants ranging in size from small single nucleotide polymorp...
The complexity of structural variation (SV) and short tandem repeats (STRs) makes it necessary to ap...
From prokaryotes to eukaryotes, phenotypic variation, adaptation and speciation has been associated ...