<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/42139?offset=260 https://bioinformaticsonline.com/bookmarks/view/44501/minda-a-tool-for-evaluating-structural-variant-sv-callers Sun, 31 Mar 2024 02:43:50 -0500 https://bioinformaticsonline.com/bookmarks/view/44501/minda-a-tool-for-evaluating-structural-variant-sv-callers <![CDATA[Minda: a tool for evaluating structural variant (SV) callers]]> Minda is a tool for evaluating structural variant (SV) callers that

  • standardizes VCF records for compatibility with both germline and somatic SV callers,
  • benchmarks against a single VCF input file, or
  • benchmarks against an ensemble call set created from multiple VCF input files.

Address of the bookmark: https://github.com/KolmogorovLab/minda

]]> LEGE https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics Tue, 17 Sep 2024 02:30:57 -0500 https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics <![CDATA[LoVis4u: Locus Visualisation tool for comparative genomics]]> image

Description

LoVis4u is a bioinformatics tool for Loci Visualisation.

LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences.

https://art-egorov.github.io/lovis4u/

 

Address of the bookmark: https://github.com/art-egorov/lovis4u

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