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Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

2019

City University of New York (CUNY)

Annotation

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Full-Text Articles in Engineering

Msg-Fast: Metagenomic Shotgun Data Fast Annotation Using Microbial Gene Catalogs, Stuart M. Brown, Hao Chen, Yuhan Hao, Bobby P. Laungani, Thahmina A. Ali, Changsu Dong, Carlos Lijeron, Baekdoo Kim, Claudia Wultsch, Zhiheng Pei, Konstantinos Krampis Jan 2019

Msg-Fast: Metagenomic Shotgun Data Fast Annotation Using Microbial Gene Catalogs, Stuart M. Brown, Hao Chen, Yuhan Hao, Bobby P. Laungani, Thahmina A. Ali, Changsu Dong, Carlos Lijeron, Baekdoo Kim, Claudia Wultsch, Zhiheng Pei, Konstantinos Krampis

Publications and Research

Background: Current methods used for annotating metagenomics shotgun sequencing (MGS) data rely on a computationally intensive and low-stringency approach of mapping each read to a generic database of proteins or reference microbial genomes.

Results: We developed MGS-Fast, an analysis approach for shotgun whole-genome metagenomic data utilizing Bowtie2 DNA-DNA alignment of reads that is an alternative to using the integrated catalog of reference genes database of well-annotated genes compiled from human microbiome data. This method is rapid and provides high-stringency matches (>90% DNA sequence identity) of the metagenomics reads to genes with annotated functions. We demonstrate the use of this method ...