Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation-Reference-Cited by-同舟云学术

Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation

Published:2018-01-30 Issue:11 Volume:34 Page:1884-1892
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Armean Irina M¹,Lilley Kathryn S¹,Trotter Matthew W B²,Pilkington Nicholas C V³,Holden Sean B³

Affiliation:

1. Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK

2. Celegene Institute for Translational Research Europe (CITRE), Sevilla, Spain

3. Department of Computer Science, Computer Laboratory, University of Cambridge, Cambridge, UK

Funder

Biotechnology and Biological Sciences Research Council

BBSRC

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/11/1884/25121514/btx803.pdf

Reference72 articles.

1. The Cell as a Collection of Protein Machines: Preparing the Next Generation of Molecular Biologists

2. Ontology engineering

3. EcID. A database for the inference of functional interactions in E. coli

5. Gene Ontology: tool for the unification of biology

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