Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering |
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| Authors: | Shibu Yooseph Weizhong Li Granger Sutton |
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| Institution: | (1) J. Craig Venter Institute, 9704 Medical Center Drive, Rockville, MD 20850, USA;(2) California Institute for Telecommunications and Information Technology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA |
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| Abstract: | Background The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source
organisms in their communities. However, metagenomic datasets are characterized by the presence of organisms with varying
GC composition, codon usage biases etc., and consequently gene identification is challenging. The vast amount of sequence
data also requires faster protein family classification tools. |
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| Keywords: | |
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