Description
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.
OCLC
985526079
Document Type
Dataset
DCMI Type
Dataset
File Format
.exe
Publication Date
2013
Publisher
Utah State University
Embargo Period
6-6-2013
Language
eng
Disciplines
Biological Engineering
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tramp, C. A., & Miller, C. D. (2013). MetaCom: Automated Data Processing and Analysis of Metagenomic Community Sequences . Utah State University. https://doi.org/10.15142/T3GK5F
Checksum
7704954bfbb69c1708dad15d3fb868ab
Additional Files
MetaCom Source v1.1.0.zip (35 kB)MD5: 9f193f79caa452749d00513c884d985d
MetaCom Sample Datafiles and Tutorial.zip (272 kB)
MD5: 4409668eb96c6bdf381d258d8417fdbd
MetaCom Sample Data and Tutorial_README.pdf (537 kB)
MD5: 63037f1268b109228392137c68d5dbc1
MetaCom_v1.1.0.zip (14744 kB)
MD5: 7f4f51bbdd409cdbb28a080f49ff58e5
Comments
This is a compressed standalone windows .exe file and is not presently compatible with OS X.
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