ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins-Reference-Cited by-同舟云学术

ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins

Published:2017-10-23 Issue:6 Volume:34 Page:1074-1076
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Pineda Sandy S¹,Chaumeil Pierre-Alain¹²,Kunert Anne¹²,Kaas Quentin¹,Thang Mike W C¹²,Le Lien³,Nuhn Michael³,Herzig Volker¹,Saez Natalie J¹,Cristofori-Armstrong Ben¹,Anangi Raveendra¹,Senff Sebastian¹,Gorse Dominique¹²,King Glenn F¹

Affiliation:

1. Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia

2. Queensland Facility for Advanced Bioinformatics, The University of Queensland, St Lucia, QLD, Australia

3. EMBL Australia Bioinformatics Resource (EMBL ABR), The University of Queensland, St Lucia, QLD, Australia

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/34/6/1074/25119176/btx661.pdf

Reference10 articles.

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2. CD-HIT: accelerated for clustering the next-generation sequencing data;Fu;Bioinformatics,2012

3. ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures;Herzig;Nucleic Acids Res,2011

4. The UniProtKB/Swiss-Prot Tox-Prot program: a central hub of integrated venom protein data;Jungo;Toxicon,2012

5. A rational nomenclature for naming peptide toxins from spiders and other venomous animals;King;Toxicon,2008

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