SolidBin: Improving Metagenome Binning with Semi-supervised Normalized Cut.

08:00 EDT 12th April 2019 | BioPortfolio

Summary of "SolidBin: Improving Metagenome Binning with Semi-supervised Normalized Cut."

Metagenomic contig binning is an important computational problem in metagenomic research, which aims to cluster contigs from the same genome into the same group. Unlike classical clustering problem, contig binning can utilize known relationships among some of the contigs or the taxonomic identity of some contigs. However, the current state-of-the-art contig binning methods do not make full use of the additional biological information except the coverage and sequence composition of the contigs.


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This article was published in the following journal.

Name: Bioinformatics (Oxford, England)
ISSN: 1367-4811


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