EnSVMB: Metagenomics Fragments Classification using Ensemble SVM and BLAST.

ABSTRACT: Metagenomics brings in new discoveries and insights into the uncultured microbial world. One fundamental task in metagenomics analysis is to determine the taxonomy of raw sequence fragments. Modern sequencing technologies produce relatively short fragments and greatly increase the number of fragments, and thus make the taxonomic classification considerably more difficult than before. Therefore, fast and accurate techniques are called to classify large-scale fragments. We propose EnSVM (Ensemble Support Vector Machine) and its advanced method called EnSVMB (EnSVM with BLAST) to accurately classify fragments. EnSVM divides fragments into a large confident (or small diffident) set, based on whether the fragments get consistent (or inconsistent) predictions from linear SVMs trained with differ

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC5573435 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature