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PhylOligo: a package to identify contaminant or untargeted organism sequences in genome assemblies
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 includi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860033/ https://www.ncbi.nlm.nih.gov/pubmed/28637232 http://dx.doi.org/10.1093/bioinformatics/btx396 |
Sumario: | 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/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
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