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VNTRSeek is a computational pipeline for the detection of VNTRs in short read sequencing data. It was developed by Yevgeniy Gelfand, Yozen Hernandez, and Gary Benson, with contributions from Marzie Rasekh, and more recently streamlined by Kyler Anderson in the Benson Lab for Biocomputing and Informatics at Boston University.

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Overview

VNTRseek is a computational pipeline for the detection of VNTRs. Given an input reference set of TRs and a set of next-generation sequencing reads, such as those produced by Illumina, VNTRseek produces a database and a VCF file with VNTR calls.

Currently, input reads in FASTA, FASTQ, SAM, BAM, and CRAM format are supported. Files can be compressed using plain gzip (.gz), bzip2 (.bz, .bz2), or xz (.xz) format, optionally preceeded by tar (.tgz, .tar.gz, .tbz, .tbz2, .tar.bz , .tar.bz2, .txz, .tar.xz)

VNTRseek readily runs on Sun Grid Engine clusters. Support for other platforms as pull requests is welcome.

Documentation

See the running instructions for information on the latest running parameters. An output description is included.

Download

The latest version of VNTRseek is 2.0.3. You can download it from the Github repo. An active (likely unstable) branch for v2 series development is available for pull contributions.

Edlib Attribution

A slimmed down version of Edlib is included. It contains the original code for calculations, all credit to original author. Test scripts and extended features are removed, as well as original build files. A wrapper script has been added for obtaining the NICE alignment strings from simple command line input.

About

VNTRSeek is a computational pipeline for the detection of VNTRs in short read sequencing data. It was developed by Yevgeniy Gelfand, Yozen Hernandez, and Gary Benson, with contributions from Marzie Rasekh, and more recently streamlined by Kyler Anderson in the Benson Lab for Biocomputing and Informatics at Boston University.

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