Quantitative analysis of proteomics using data mining. An automated system for constructing assays quickly and precisely.
Yen
Chia-Yu
CY
University of Colorado at Denver, Health Sciences Center, USA.
Helmke
Steve M
SM
Cios
Krzysztof J
KJ
Perryman
M Benjamin
MB
Duncan
Mark W
MW
D000465:Algorithms; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D009206:Myocardium / Q000378:metabolism; D018995:Myosin Heavy Chains / Q000032:analysis* / Q000737:chemistry* / Q000145:classification; D040901:Proteomics / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods; D020539:Sequence Analysis, Protein / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
D018995:Myosin Heavy Chains