Proteogenomic strategies for identification of aberrant cancer peptides using large-scale next-generation sequencing data

Proteomics

Volumn 14, Issue 23-24, 2014, Pages 2719-2730

  Woo, Sunghee ^a   Cha, Seong Won ^a   Na, Seungjin ^b   Guest, Clark ^a   Liu, Tao ^c   Smith, Richard D ^c   Rodland, Karin D ^c   Payne, Samuel ^c   Bafna, Vineet ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Cancer; MS; Mutated peptide identification; Ovarian cancer; Proteogenomics

Indexed keywords

AMINO ACID SEQUENCE; ARTICLE; CONTROL STRATEGY; GENOMICS; LIQUID CHROMATOGRAPHY; NEXT GENERATION SEQUENCING; OVARY CANCER; PROTEIN EXPRESSION; PROTEOMICS; SOMATIC MUTATION; TANDEM MASS SPECTROMETRY; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; METABOLISM; NEOPLASM; PROCEDURES; PROTEIN DATABASE;

PEPTIDE;

DATABASES, PROTEIN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; NEOPLASMS; PEPTIDES; PROTEOMICS;

EID: 84914159272     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.201400206     Document Type: Article

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