TagRecon: High-throughput mutation identification through sequence tagging

Journal of Proteome Research

Volumn 9, Issue 4, 2010, Pages 1716-1726

  Dasari, Surendra ^a   Chambers, Matthew C ^a   Slebos, Robbert J ^b   Zimmerman, Lisa J ^b,c   Ham, Amy Joan L ^b,c   Tabb, David L ^a,b,c  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b VANDERBILT INGRAM CANCER CENTER   (United States)

^c VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Bioinformatics; Hydroxyproline; Mutation; Sequence tagging

Indexed keywords

ARTICLE; CANCER CELL; CASE REPORT; CLASSIFICATION ALGORITHM; COLON CANCER; COMPUTER SIMULATION; CONTROLLED STUDY; FUNCTIONAL PROTEOMICS; HUMAN; HUMAN CELL; HUMAN TISSUE; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MISMATCH REPAIR; MUTATIONAL ANALYSIS; NONHUMAN; PEPTIDE ANALYSIS; PRIORITY JOURNAL; SEQUENCE TAGGED SITE; TAGRECON;

ALGORITHMS; CELL LINE, TUMOR; CHROMATOGRAPHY, LIQUID; COLONIC NEOPLASMS; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, PROTEIN; DNA MISMATCH REPAIR; EXTRACELLULAR MATRIX; HUMANS; HYDROXYPROLINE; MODELS, GENETIC; MUTATION; PEPTIDE FRAGMENTS; PEPTIDE MAPPING; SEQUENCE TAGGED SITES; TANDEM MASS SPECTROMETRY; YEASTS;

EID: 77950660595     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr900850m     Document Type: Article

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