Nature Communications (Jun 2018)
Clustering huge protein sequence sets in linear time
Abstract
Billions of metagenomic and genomic sequences fill up public datasets, which makes similarity clustering an important and time-critical analysis step. Here, the authors develop Linclust, an algorithm with linear time complexity that can cluster over a billion sequences within hours on a single server.