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GenCoF: a graphical user interface to rapidly remove human genome contaminants from metagenomic datasets
SUMMARY: The removal of human genomic reads from shotgun metagenomic sequencing is a critical step in protecting subject privacy. Freely available tools addressing this issue require advanced programing knowledge or are limited by analytical time and data load due to their server-based nature. Here,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6596892/ https://www.ncbi.nlm.nih.gov/pubmed/30475995 http://dx.doi.org/10.1093/bioinformatics/bty963 |
Sumario: | SUMMARY: The removal of human genomic reads from shotgun metagenomic sequencing is a critical step in protecting subject privacy. Freely available tools addressing this issue require advanced programing knowledge or are limited by analytical time and data load due to their server-based nature. Here, we compared the most cited tools for host-DNA removal using synthetic and real metagenomic datasets. Then, we integrated the most efficient pipeline in a graphical user interface to make these tools available without command line use. This interface, GenCoF, rapidly removes human genome contaminants from metagenomic datasets. Additionally, the tool offers quality-filtering, data reduction and interactive modification of any parameter in order to customize the analysis. GenCoF offers both quality and host-associated filtering in a non-commercial, freely available tool in a local, interactive and easy-to-use interface. AVAILABILITY AND IMPLEMENTATION: GenCoF is freely available (under a GPL license) for Mac OS and Linux at https://github.com/MattCzajkowski/GenCoF. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
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