scholarly journals A statistical approach to peptide identification from clustered tandem mass spectrometry data

Author(s):  
Soyoung Ryu ◽  
David R. Goodlett ◽  
William S. Noble ◽  
Vladimir N. Minin
2005 ◽  
Vol 4 (5) ◽  
pp. 1687-1698 ◽  
Author(s):  
William R. Cannon ◽  
Kristin H. Jarman ◽  
Bobbie-Jo M. Webb-Robertson ◽  
Douglas J. Baxter ◽  
Christopher S. Oehmen ◽  
...  

Author(s):  
Marcela Aguilera Flores ◽  
Iulia M Lazar

Abstract Summary The ‘Unknown Mutation Analysis (XMAn)’ database is a compilation of Homo sapiens mutated peptides in FASTA format, that was constructed for facilitating the identification of protein sequence alterations by tandem mass spectrometry detection. The database comprises 2 539 031 non-redundant mutated entries from 17 599 proteins, of which 2 377 103 are missense and 161 928 are nonsense mutations. It can be used in conjunction with search engines that seek the identification of peptide amino acid sequences by matching experimental tandem mass spectrometry data to theoretical sequences from a database. Availability and implementation XMAn v2 can be accessed from github.com/lazarlab/XMAnv2. Supplementary information Supplementary data are available at Bioinformatics online.


PROTEOMICS ◽  
2007 ◽  
Vol 7 (18) ◽  
pp. 3245-3258 ◽  
Author(s):  
Kristian Flikka ◽  
Jeroen Meukens ◽  
Kenny Helsens ◽  
Joël Vandekerckhove ◽  
Ingvar Eidhammer ◽  
...  

2011 ◽  
Vol 83 (17) ◽  
pp. 6911-6911
Author(s):  
Florian Rasche ◽  
Aleš Svatoš ◽  
Ravi Kumar Maddula ◽  
Christoph Böttcher ◽  
Sebastian Böcker

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