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

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

Reference10 articles.

1. Accelerated profile HMM searches;Eddy;PLoS Comput. Biol,2011

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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