K-Means Clustering of Biological Sequences-Reference-Cited by-同舟云学术

K-Means Clustering of Biological Sequences

Published:2017-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd Australasian Document Computing Symposium
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Author:

Chappell Timothy¹,Geva Shlomo¹,Hogan James¹

Affiliation:

1. School of Electrical Engineering and Computer Science, QUT, Brisbane, Queensland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3166072.3166076

Reference21 articles.

2. Peter JA Cock Christopher J Fields Naohisa Goto Michael L Heuer and Peter M Rice. 2009. The Sanger FASTQ file format for sequences with quality scores and the Solexa/Illumina FASTQ variants. Nucleic acids research 38 6 (2009) 1767--1771. Peter JA Cock Christopher J Fields Naohisa Goto Michael L Heuer and Peter M Rice. 2009. The Sanger FASTQ file format for sequences with quality scores and the Solexa/Illumina FASTQ variants. Nucleic acids research 38 6 (2009) 1767--1771.

3. Charles E Cook Mary Todd Bergman Robert D Finn Guy Cochrane Ewan Birney and Rolf Apweiler. 2015. The European Bioinformatics Institute in 2016: data growth and integration. Nucleic acids research 44 D1 (2015) D20--D26. Charles E Cook Mary Todd Bergman Robert D Finn Guy Cochrane Ewan Birney and Rolf Apweiler. 2015. The European Bioinformatics Institute in 2016: data growth and integration. Nucleic acids research 44 D1 (2015) D20--D26.

4. Search and clustering orders of magnitude faster than BLAST

5. R. C Edgar. 2012. Local clustering. (2012). https://www.drive5.com/usearch/manual/local_clustering.html R. C Edgar. 2012. Local clustering. (2012). https://www.drive5.com/usearch/manual/local_clustering.html

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