orthofisher
Orthofisher is a versatile command-line tool designed for the automated identification and retrieval of genes with high sequence similarity across a set of proteomes, utilizing query profile Hidden Markov Model (HMM) sequence alignments. It stands out for its high accuracy and precision, particularly in identifying single-copy orthologous genes, making it an invaluable asset for various bioinformatic applications. These include assessing the quality of gene annotations, identifying single-copy orthologous genes for phylogenomic analyses, estimating gene copy numbers, and conducting other evolutionary studies that depend on precisely identifying and retrieving homologous genes from genomic data.
Topic
Phylogenomics;Proteomics;Gene and protein families;Sequence sites, features and motifs;Model organisms
Detail
Operation: Data retrieval;Database search;Homology-based gene prediction
Software interface: Command-line interface
Language: Python
License: The MIT License
Cost: Free with restrictions
Version name: -
Credit: The Howard Hughes Medical Institute (through the James H. Gilliam Fellowships for Advanced Study program), the National Science Foundation, the National Institutes of Health/National Institute of Allergy and Infectious Diseases, the Guggenheim Foundation, and the Burroughs Wellcome Fund.
Input: -
Output: -
Contact: Jacob L Steenwyk jacob.steenwyk@vanderbilt.edu ,Antonis Rokas antonis.rokas@vanderbilt.edu
Collection: -
Maturity: -
Publications
- orthofisher: a broadly applicable tool for automated gene identification and retrieval.
- Steenwyk JL and Rokas A. orthofisher: a broadly applicable tool for automated gene identification and retrieval. orthofisher: a broadly applicable tool for automated gene identification and retrieval. 2021; 11:(unknown pages). doi: 10.1093/g3journal/jkab250
- https://doi.org/10.1093/G3JOURNAL/JKAB250
- PMID: 34544141
- PMC: PMC8496211
Download and documentation
Source: https://github.com/JLSteenwyk/orthofisher/releases/tag/v1.0.2
Documentation: https://jlsteenwyk.com/orthofisher/tutorial
Home page: https://github.com/JLSteenwyk/orthofisher
< Back to DB search