mmnet: An R Package for Metagenomics Systems Biology Analysis

Joint Authors

Cao, Yang
Zheng, Xiaofei
Li, Fei
Bo, Xiaochen

Source

BioMed Research International

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-09-03

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Medicine

Abstract EN

The human microbiome plays important roles in human health and disease.

Previous microbiome studies focused mainly on single pure species function and overlooked the interactions in the complex communities on system-level.

A metagenomic approach introduced recently integrates metagenomic data with community-level metabolic network modeling, but no comprehensive tool was available for such kind of approaches.

To facilitate these kinds of studies, we developed an R package, mmnet, to implement community-level metabolic network reconstruction.

The package also implements a set of functions for automatic analysis pipeline construction including functional annotation of metagenomic reads, abundance estimation of enzymatic genes, community-level metabolic network reconstruction, and integrated network analysis.

The result can be represented in an intuitive way and sent to Cytoscape for further exploration.

The package has substantial potentials in metagenomic studies that focus on identifying system-level variations of human microbiome associated with disease.

American Psychological Association (APA)

Cao, Yang& Zheng, Xiaofei& Li, Fei& Bo, Xiaochen. 2015. mmnet: An R Package for Metagenomics Systems Biology Analysis. BioMed Research International،Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1054452

Modern Language Association (MLA)

Cao, Yang…[et al.]. mmnet: An R Package for Metagenomics Systems Biology Analysis. BioMed Research International No. 2015 (2015), pp.1-5.
https://search.emarefa.net/detail/BIM-1054452

American Medical Association (AMA)

Cao, Yang& Zheng, Xiaofei& Li, Fei& Bo, Xiaochen. mmnet: An R Package for Metagenomics Systems Biology Analysis. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1054452

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1054452