Ontology highlight
ABSTRACT: Motivation
Genome sequencing projects sometimes uncover more organisms than expected, especially for complex and/or non-model organisms. It is therefore useful to develop software to identify mix of organisms from genome sequence assemblies.Results
Here we present PhylOligo, a new package including tools to explore, identify and extract organism-specific sequences in a genome assembly using the analysis of their DNA compositional characteristics.Availability and implementation
The tools are written in Python3 and R under the GPLv3 Licence and can be found at https://github.com/itsmeludo/Phyloligo/.Contact
ludovic.mallet@inra.fr.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Mallet L
PROVIDER: S-EPMC5860033 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature

Mallet Ludovic L Bitard-Feildel Tristan T Cerutti Franck F Chiapello Hélène H
Bioinformatics (Oxford, England) 20171001 20
<h4>Motivation</h4>Genome sequencing projects sometimes uncover more organisms than expected, especially for complex and/or non-model organisms. It is therefore useful to develop software to identify mix of organisms from genome sequence assemblies.<h4>Results</h4>Here we present PhylOligo, a new package including tools to explore, identify and extract organism-specific sequences in a genome assembly using the analysis of their DNA compositional characteristics.<h4>Availability and implementatio ...[more]