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PhylOligo: a package to identify contaminant or untargeted organism sequences in genome assemblies
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. Here we present PhylOligo, a new package including tools to explore,...
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Published in: | Bioinformatics (Oxford, England) England), 2017-10, Vol.33 (20), p.3283-3285 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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.
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.
The tools are written in Python3 and R under the GPLv3 Licence and can be found at https://github.com/itsmeludo/Phyloligo/.
ludovic.mallet@inra.fr.
Supplementary data are available at Bioinformatics online. |
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ISSN: | 1367-4803 1367-4811 |
DOI: | 10.1093/bioinformatics/btx396 |