DAPPLE: A pipeline for the homology-based prediction of phosphorylation sites

Bioinformatics

Volumn 29, Issue 13, 2013, Pages 1693-1695

  Trost, Brett ^a   Arsenault, Ryan ^a,b   Griebel, Philip ^a,b   Napper, Scott ^a,b   Kusalik, Anthony ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

PHOSPHOPROTEIN;

ANIMAL; ARTICLE; CATTLE; CHEMISTRY; COMPUTER PROGRAM; HUMAN; METABOLISM; PHOSPHORYLATION; SEQUENCE ANALYSIS; SEQUENCE HOMOLOGY; BOVINAE;

ANIMALS; CATTLE; HUMANS; PHOSPHOPROTEINS; PHOSPHORYLATION; SEQUENCE ANALYSIS, PROTEIN; SEQUENCE HOMOLOGY, AMINO ACID; SOFTWARE;

EID: 84879911740     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt265     Document Type: Conference Paper

References (6)

1. Hornbeck, P.V. et al. (2012) PhosphoSitePlus: A comprehensive resource for investigating the structure and function of experimentally determined posttranslational modifications in man and mouse. Nucleic Acids Res., 40, D261-D270.
2. Houseman, B.T. et al. (2002) Peptide chips for the quantitative evaluation of protein kinase activity. Nat. Biotechnol., 20, 270-274.
3. Jalal, S. et al. (2009) Genome to kinome: Species-specific peptide arrays for kinome analysis. Sci. Signal, 2, pl1.
4. Johnson, S.A. and Hunter, T. (2005) Kinomics: Nethods for deciphering the kinome. Nat. Methods, 2, 17-25.
5. Moreno-Hagelsieb, G. and Latimer, K. (2008) Choosing BLAST options for better detection of orthologs as reciprocal best hits. Bioinformatics, 24, 319-324.
6. Overbeek, R. et al. (1999) The use of gene clusters to infer functional coupling. Proc. Natl Acad. Sci. USA, 96, 2896-2901.