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Oxford University Press (OUP), Bioinformatics, 2(30), p. 287-288

DOI: 10.1093/bioinformatics/btt657

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HPC-CLUST: distributed hierarchical clustering for large sets of nucleotide sequences

Journal article published in 2013 by João F. Matias Rodrigues ORCID, Christian von Mering ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Nucleotide sequence data are being produced at an ever increasing rate. Clustering such sequences by similarity is often an essential first step in their analysis—intended to reduce redundancy, define gene families or suggest taxonomic units. Exact clustering algorithms, such as hierarchical clustering, scale relatively poorly in terms of run time and memory usage, yet they are desirable because heuristic shortcuts taken during clustering might have unintended consequences in later analysis steps.