Fast and sensitive taxonomic assignment to metagenomic contigs
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DOI: 10.1093/bioinformatics/btab184
Abstract: Abstract Summary MMseqs2 taxonomy is a new tool to assign taxonomic labels to metagenomic contigs. It extracts all possible protein fragments from each contig, quickly retains those that can contribute to taxonomic annotation, assigns them… read more here.
Keywords: metagenomic contigs; mmseqs2 taxonomy; assignment metagenomic; fast sensitive ... See more keywords
HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs
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DOI: 10.1093/bioinformatics/btac295
Abstract: MOTIVATION Metagenomic binning aims to retrieve microbial genomes directly from ecosystems by clustering metagenomic contigs assembled from short reads into draft genomic bins. Traditional shotgun-based binning methods depend on the contigs' composition and abundance profiles… read more here.
Keywords: binning methods; shotgun based; metagenomic contigs; refine binning ... See more keywords
Unsupervised Binning of Metagenomic Assembled Contigs Using Improved Fuzzy C-Means Method
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2016.2576452
Abstract: Metagenomic contigs binning is a necessary step of metagenome analysis. After assembly, the number of contigs belonging to different genomes is usually unequal. So a metagenomic contigs dataset is a kind of imbalanced dataset and… read more here.
Keywords: means method; metagenomic contigs; binning metagenomic; unsupervised binning ... See more keywords