<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/34571?offset=580 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/44896/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences Sun, 31 Aug 2025 06:30:16 -0500 https://bioinformaticsonline.com/bookmarks/view/44896/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences <![CDATA[Jaeger : an accurate and fast deep-learning tool to detect bacteriophage sequences]]> Jaeger is a tool that utilizes homology-free machine learning to identify phage genome sequences that are hidden within metagenomes. It is capable of detecting both phages and prophages within metagenomic assemblies.

Address of the bookmark: https://github.com/MGXlab/Jaeger

]]> LEGE