MetaCom: Automated Data Processing and Analysis of Metagenomic Community Sequences
Advances in next generation sequencing technology have allowed metagenomic researchers to study the composition of bacterial communities through analysis of the vast numbers of sequence reads that these technologies generate. It is not feasible to analyze and interpret this large amount of data manually and individual research groups must create automated scripts and programs to analyze this data. Here, we present MetaCom, a program that offers a common set of analysis and organizational tools that can be used by research groups in the analysis of environmental samples. MetaCom is an open-source software tool that can process next generation sequencing output, identify the species present in the sample, organize the results of the analysis in an easy to manipulate format, and can calculate useful metrics of data quality.
Utah State University
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Tramp, Cody A. and Miller, Charles D., "MetaCom: Automated Data Processing and Analysis of Metagenomic Community Sequences" (2013). Browse all Datasets. Paper 1.
FilesMetaCom Source v1.1.0.zip (35 kB)
MetaCom Sample Datafiles and Tutorial.zip (272 kB)
MetaCom Sample Data and Tutorial_README.pdf (537 kB)
MetaCom_v1.1.0.zip (14744 kB)