Improving contig binning of metagenomic data using d 2 S $$ {d}_2^S $$ oligonucleotide frequency dissimilarity

Abstract 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, especi...

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Autors principals:	Ying Wang, Kun Wang, Yang Young Lu, Fengzhu Sun
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2017-09-01
Col·lecció:	BMC Bioinformatics
Matèries:	Metagenomics Contig binning Taxonomy-independent d 2 S $$ {d}_2^S $$ dissimilarity, k-tuple
Accés en línia:	http://link.springer.com/article/10.1186/s12859-017-1835-1
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