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Updated: Jul 23, 2025

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
Published on: June 16, 2011
CodingDiv: analyzing SNP-level microdiversity to discriminate between coding and noncoding regions in viral genomes
Eric Olo Ndela1, François Enault1
1Université Clermont Auvergne, CNRS, LMGE, F-63000 Clermont-Ferrand, France.
Summary:
Viral genes, that are frequently small genes and/or with large overlaps, are still difficult to predict accurately. To help predict all genes in viral genomes, we provide CodingDiv that detects SNP-level microdiversity of all potential coding regions, using metagenomic reads and/or similar sequences from external databases. Protein coding regions can then be identified as the ones containing more synonymous SNPs than unfavorable nonsynonymous substitutions SNPs.
Availability And Implementation:
CodingDiv is released under the GPL license. Source code is available at https://github.com/ericolo/codingDiv. The software can be installed and used through a docker container.
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