Analysis and comparison of very large metagenomes with fast clustering and functional annotation |
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Authors: | Weizhong Li |
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Institution: | (1) California Institute for Telecommunications and Information Technology,University of California, 92093 San Diego, La Jolla,California, USA |
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Abstract: | Background The remarkable advance of metagenomics presents significant new challenges in data analysis. Metagenomic datasets (metagenomes)
are large collections of sequencing reads from anonymous species within particular environments. Computational analyses for
very large metagenomes are extremely time-consuming, and there are often many novel sequences in these metagenomes that are
not fully utilized. The number of available metagenomes is rapidly increasing, so fast and efficient metagenome comparison
methods are in great demand. |
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Keywords: | |
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