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GenCoF: A graphical user interface to rapidly remove human genome contaminants from metagenomic datasets.


ABSTRACT: 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 programming 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.

SUBMITTER: Czajkowski MD 

PROVIDER: S-EPMC6596892 | biostudies-other | 2018 Nov

REPOSITORIES: biostudies-other

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GenCoF: a graphical user interface to rapidly remove human genome contaminants from metagenomic datasets.

Czajkowski Matthew D MD   Vance Daniel P DP   Frese Steven A SA   Casaburi Giorgio G  

Bioinformatics (Oxford, England) 20190701 13


<h4>Summary</h4>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  ...[more]

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