TY - JOUR
T1 - FMAP
T2 - Functional Mapping and Analysis Pipeline for metagenomics and metatranscriptomics studies
AU - Kim, Jiwoong
AU - Kim, Min Soo
AU - Koh, Andrew
AU - Xie, Yang
AU - Zhan, Xiaowei
N1 - Funding Information:
Funding was provided by the National Institutes of Health/National Cancer Institute (5R01CA152301 and 1R01CA172211) and by the Cancer Prevention and Research Institute of Texas (RP150596).
Publisher Copyright:
© 2016 The Author(s).
PY - 2016/10/10
Y1 - 2016/10/10
N2 - Background: Given the lack of a complete and comprehensive library of microbial reference genomes, determining the functional profile of diverse microbial communities is challenging. The available functional analysis pipelines lack several key features: (i) an integrated alignment tool, (ii) operon-level analysis, and (iii) the ability to process large datasets. Results: Here we introduce our open-sourced, stand-alone functional analysis pipeline for analyzing whole metagenomic and metatranscriptomic sequencing data, FMAP (Functional Mapping and Analysis Pipeline). FMAP performs alignment, gene family abundance calculations, and statistical analysis (three levels of analyses are provided: differentially-abundant genes, operons and pathways). The resulting output can be easily visualized with heatmaps and functional pathway diagrams. FMAP functional predictions are consistent with currently available functional analysis pipelines. Conclusion: FMAP is a comprehensive tool for providing functional analysis of metagenomic/metatranscriptomic sequencing data. With the added features of integrated alignment, operon-level analysis, and the ability to process large datasets, FMAP will be a valuable addition to the currently available functional analysis toolbox. We believe that this software will be of great value to the wider biology and bioinformatics communities.
AB - Background: Given the lack of a complete and comprehensive library of microbial reference genomes, determining the functional profile of diverse microbial communities is challenging. The available functional analysis pipelines lack several key features: (i) an integrated alignment tool, (ii) operon-level analysis, and (iii) the ability to process large datasets. Results: Here we introduce our open-sourced, stand-alone functional analysis pipeline for analyzing whole metagenomic and metatranscriptomic sequencing data, FMAP (Functional Mapping and Analysis Pipeline). FMAP performs alignment, gene family abundance calculations, and statistical analysis (three levels of analyses are provided: differentially-abundant genes, operons and pathways). The resulting output can be easily visualized with heatmaps and functional pathway diagrams. FMAP functional predictions are consistent with currently available functional analysis pipelines. Conclusion: FMAP is a comprehensive tool for providing functional analysis of metagenomic/metatranscriptomic sequencing data. With the added features of integrated alignment, operon-level analysis, and the ability to process large datasets, FMAP will be a valuable addition to the currently available functional analysis toolbox. We believe that this software will be of great value to the wider biology and bioinformatics communities.
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U2 - 10.1186/s12859-016-1278-0
DO - 10.1186/s12859-016-1278-0
M3 - Article
C2 - 27724866
AN - SCOPUS:84990828229
SN - 1471-2105
VL - 17
JO - BMC Bioinformatics
JF - BMC Bioinformatics
IS - 1
M1 - 420
ER -