Jul 20, 2023

Analyses of gene sets such as gene expression profiling studies

ErmineJ performs analyses of gene sets in high-throughput genomics data such as gene expression profiling studies. A typical goal is to determine whether particular biological pathways are “doing something interesting” in an experiment that generates long lists of candidates. The software is designed to be used by biologists with little or no informatics background but if you do, you might be interested in the CLI or the R support.

Checkout these related ports:
  • Wise - Intelligent algorithms for DNA searches
  • Wfa2-lib - Exact gap-affine algorithm using homology to accelerate alignment
  • Vt - Discovers short variants from Next Generation Sequencing data
  • Vsearch - Versatile open-source tool for metagenomics
  • Viennarna - Alignment tools for the structural analysis of RNA
  • Velvet - Sequence assembler for very short reads
  • Vcftools - Tools for working with VCF genomics files
  • Vcflib - C++ library and CLI tools for parsing and manipulating VCF files
  • Vcf2hap - Generate .hap file from VCF for haplohseq
  • Vcf-split - Split a multi-sample VCF into single-sample VCFs
  • Unikmer - Toolkit for nucleic acid k-mer analysis, set operations on k-mers
  • Unanimity - Pacific Biosciences consensus library and applications
  • Ugene - Integrated bioinformatics toolkit
  • Ucsc-userapps - Command line tools from the UCSC Genome Browser project
  • Trimmomatic - Flexible read trimming tool for Illumina NGS data