HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks-Reference-Cited by-同舟云学术

HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks

Published:2018-01-05 Issue:6 Volume:46 Page:e33-e33
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Azad Ariful¹,Pavlopoulos Georgios A²^ORCID,Ouzounis Christos A³,Kyrpides Nikos C²,Buluç Aydin¹⁴

Affiliation:

1. Computational Research Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720-8150, USA

2. DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA

3. Biological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica 57001, Greece

4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/46/6/e33/24525991/gkx1313.pdf

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4. Construction, visualisation, and clustering of transcription networks from microarray expression data;Freeman;PLoS Comput. Biol.,2007

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