TY - JOUR AU - Wang, Ying AU - Wang, Kun AU - Lu, Yang Young AU - Sun, Fengzhu PY - 2017 DA - 2017/09/20 TI - Improving contig binning of metagenomic data using $$ {d}_2^S $$oligonucleotide frequency dissimilarity JO - BMC Bioinformatics SP - 425 VL - 18 IS - 1 AB - 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. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-017-1835-1 DO - 10.1186/s12859-017-1835-1 ID - Wang2017 ER -