Improving contig binning of metagenomic data using [Formula: see text] oligonucleotide frequency dissimilarity.
BMC Bioinformatics 2017 Sep 20;18(1):425. Epub 2017 Sep 20.
Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA, 90089, USA.
Background: Metagenomics sequencing provides deep insights into microbial communities. To investigate their taxonomic structure, binning assembled contigs into discrete clusters is critical. Many binning algorithms have been developed, but their performance is not always satisfactory, especially for complex microbial communities, calling for further development. Read More