Centrifuge: rapid and sensitive classification of metagenomic sequences
Johns Hopkins University · Johns Hopkins Medicine
Abstract
Centrifuge is a novel microbial classification engine that enables rapid, accurate, and sensitive labeling of reads and quantification of species on desktop computers. The system uses an indexing scheme based on the Burrows-Wheeler transform (BWT) and the Ferragina-Manzini (FM) index, optimized specifically for the metagenomic classification problem. Centrifuge requires a relatively small index (4.2 GB for 4078 bacterial and 200 archaeal genomes) and classifies sequences at very high speed, allowing it to process the millions of reads from a typical high-throughput DNA sequencing run within a few minutes. Together, these advances enable timely and accurate analysis of large metagenomics data sets on…
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Authors
4Topics & keywords
- Metagenomics
- Centrifuge
- Search engine indexing
- Biology
- Index (typography)
- Data mining
- Computer science
- Computational biology