November 8, 2017 17:31 A Practical Guide to Cancer Systems Biology 9.61in x 6.69in b3038-index page 146
146 A Practical Guide to Cancer Systems Biologyomic data, 91
omics, 1parameter identification, 107
Pearson correlation coefficients (PCCs),
99
phase transfer surfactant-aided trypsin
digestion, 40
Philadelphia chromosome, 95
phosphoproteomics, 75
post-translational modifications, 63
profile clustering, 78
Protein Model Portal, 114
protein phosphorylation, 39
protein–protein interaction network, 63,
82
proteome, 3
PubChem, 131Q–Q plot, 96
Qmean server, 114R programming language, 91
reporter ions, 25
RNA-seq, 49shotgun proteomics, 23, 63
signaling pathways, 63
Significant Analysis of Microarray (SAM),
95
Stable isotope labeling by amino acids in
cell culture (SILAC), 25
stepwise regression method, 110
structure-based drug design, 129
SwissDock, 139
SwissModel, 114
systems biology, 1tandem mass spectrometry (MS/MS), 23
target identification, 4
titanium dioxide (TiO 2 ) enrichment, 39
transcriptional regulations, 63
transcriptome, 3, 11
TruSeq, 12
TXT file, 64ZINC, 132