- Page 2: Clinical Proteomics
- Page 6: METHODS IN MOLECULAR BIOLOGY TM Cli
- Page 10: Preface Clinical proteomics has rap
- Page 14: Contents Preface ..................
- Page 18: Contents xi 19. Open-Source Platfor
- Page 22: xiv Contributors Hoguen Kim • Dep
- Page 26: xvi Contributors Daohai Zhang • M
- Page 30: 2 Paik et al. Analysis. Commercial
- Page 36: Overview and Introduction to Clinic
- Page 40: Tissue LCM or LMPC isolated Formali
- Page 44: Overview and Introduction to Clinic
- Page 48: Overview and Introduction to Clinic
- Page 52: Overview and Introduction to Clinic
- Page 56: Overview and Introduction to Clinic
- Page 60: Overview and Introduction to Clinic
- Page 64: Overview and Introduction to Clinic
- Page 68: Overview and Introduction to Clinic
- Page 72: Overview and Introduction to Clinic
- Page 76: Overview and Introduction to Clinic
- Page 80: Overview and Introduction to Clinic
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Overview and Introduction to Clinic
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Overview and Introduction to Clinic
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2 Specimen Collection and Handling
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Specimen Collection and Handling 37
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Specimen Collection and Handling 39
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Specimen Collection and Handling 41
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3 Tissue Sample Collection for Prot
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Tissue Sample Collection for Proteo
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Tissue Sample Collection for Proteo
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Tissue Sample Collection for Proteo
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Tissue Sample Collection for Proteo
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Tissue Sample Collection for Proteo
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58 Cho et al. MALDI-TOF: Matrix-ass
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60 Cho et al. 2.3. Isoelectric Focu
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62 Cho et al. 3. Sequencing-grade m
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64 Cho et al. 4. Collect the flow-t
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66 Cho et al. Fig. 2. Narrow pH ran
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68 Cho et al. acrylamide stock solu
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70 Cho et al. Fig. 3. Detection of
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72 Cho et al. 4. Execute 2DE, picki
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74 Cho et al. References 1. Putnam,
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II Clinical Proteomics by 2DE and D
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78 Zhang and Koay (expression prote
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80 Zhang and Koay 9. Water-saturate
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82 Zhang and Koay to every 10 ml of
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84 Zhang and Koay side down). Try t
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86 Zhang and Koay kDa pI3 HER-2/neu
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88 Zhang and Koay the silver-staini
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90 Zhang and Koay and the suggested
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6 Optimizing the Difference Gel Ele
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Optimizing DIGE Technology 95 of ev
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Optimizing DIGE Technology 97 appar
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Optimizing DIGE Technology 99 Fig.
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Optimizing DIGE Technology 101 the
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Optimizing DIGE Technology 103 1.3.
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Optimizing DIGE Technology 105 4. C
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Table 1 Experimental Design for CyD
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Optimizing DIGE Technology 109 Alte
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Optimizing DIGE Technology 111 care
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Optimizing DIGE Technology 113 Tabl
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Optimizing DIGE Technology 115 divi
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Optimizing DIGE Technology 117 anal
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Optimizing DIGE Technology 119 step
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Optimizing DIGE Technology 121 9. L
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Optimizing DIGE Technology 123 carc
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7 MALDI/SELDI Protein Profiling of
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MALDI/SELDI Protein Profiling of Se
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MALDI/SELDI Protein Profiling of Se
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MALDI/SELDI Protein Profiling of Se
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MALDI/SELDI Protein Profiling of Se
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MALDI/SELDI Protein Profiling of Se
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MALDI/SELDI Protein Profiling of Se
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MALDI/SELDI Protein Profiling of Se
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8 Urine Sample Preparation and Prot
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Urine Sample Preparation 143 and ki
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Urine Sample Preparation 145 2. Mat
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Urine Sample Preparation 147 A1 A2
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Urine Sample Preparation 149 2. Spi
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Urine Sample Preparation 151 4. Upo
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Urine Sample Preparation 153 and is
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Urine Sample Preparation 155 39. In
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Urine Sample Preparation 157 17. Pa
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160 Mustafa et al. Dodecyl Sulphate
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162 Mustafa et al. Buffer droplet M
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Table 1 Overview of Different Metho
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Table 1 Continued Separation techni
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Table 1 Continued Separation techni
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170 Mustafa et al. advantages over
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172 Mustafa et al. of 2000-2400 LCM
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174 Mustafa et al. LCM sample prepa
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176 Mustafa et al. 13. Ball, H. J.
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178 Mustafa et al. 36. Guo, J., Col
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10 Comparison of Protein Expression
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Isotope-Coded Affinity Tag Labeling
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Isotope-Coded Affinity Tag Labeling
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Isotope-Coded Affinity Tag Labeling
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Isotope-Coded Affinity Tag Labeling
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Isotope-Coded Affinity Tag Labeling
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11 Analysis of Microdissected Cells
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Proteomic Analysis of Clinical HCC
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Proteomic Analysis of Clinical HCC
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Proteomic Analysis of Clinical HCC
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Proteomic Analysis of Clinical HCC
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Proteomic Analysis of Clinical HCC
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Proteomic Analysis of Clinical HCC
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Proteomic Analysis of Clinical HCC
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12 Label-Free LC-MS Method for the
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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Label-Free Biomarker Identification
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13 Analysis of the Extracellular Ma
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Analysis of ECM and Secreted Vesicl
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Analysis of ECM and Secreted Vesicl
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Analysis of ECM and Secreted Vesicl
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Analysis of ECM and Secreted Vesicl
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Analysis of ECM and Secreted Vesicl
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Analysis of ECM and Secreted Vesicl
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IV Clinical Proteomics and Antibody
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248 Hsu et al. Beside the well-know
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250 Hsu et al.
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252 Hsu et al. 3.2.4. Counting Bead
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254 Hsu et al. 3.3.2. Diluent It is
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256 Hsu et al. 10. Add 30 μl detec
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258 Hsu et al. 3.4.7. Range The ran
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260 Hsu et al. 4. Notes 1. This met
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15 Dissecting Cancer Serum Protein
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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Dissecting Cancer Serum Protein Pro
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16 2D-PAGE Maps Analysis Emilio Mar
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2D-PAGE Maps Analysis 293 Many pape
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2D-PAGE Maps Analysis 295 new refer
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2D-PAGE Maps Analysis 297 From the
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2D-PAGE Maps Analysis 299 100 Ward
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2D-PAGE Maps Analysis 301 contains
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2D-PAGE Maps Analysis 303 where sd
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2D-PAGE Maps Analysis 305 220 200 1
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2D-PAGE Maps Analysis 307 nephrotox
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2D-PAGE Maps Analysis 309 Other app
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2D-PAGE Maps Analysis 311 methods i
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2D-PAGE Maps Analysis 313 usually
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2D-PAGE Maps Analysis 315 4.1.4.1.
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2D-PAGE Maps Analysis 317 where n i
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2D-PAGE Maps Analysis 319 The recon
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2D-PAGE Maps Analysis 321 11. Morit
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2D-PAGE Maps Analysis 323 40. De Mo
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2D-PAGE Maps Analysis 325 65. Zenko
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328 Carpentier et al. 1. Introducti
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330 Carpentier et al. In any case,
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332 Carpentier et al. proteins, and
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334 Carpentier et al. like the Stud
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336 Carpentier et al. perform multi
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338 Carpentier et al. with zeros, b
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340 Carpentier et al. 2000 Histogra
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342 Carpentier et al. data to a sta
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344 Carpentier et al. abundance in
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346 Carpentier et al. References 1.
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18 Web-Based Tools for Protein Clas
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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Web-Based Tools for Protein Classif
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370 Fitzgibbon et al. • Identifyi
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372 Fitzgibbon et al. c. The Detail
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374 Fitzgibbon et al. 3.2. Locating
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376 Fitzgibbon et al. a. Display or
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378 Fitzgibbon et al. 5. Select one
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380 Fitzgibbon et al. c. Double cli
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20 Pattern Recognition Approaches f
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Pattern Recognition for Proteomic S
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Pattern Recognition for Proteomic S
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Pattern Recognition for Proteomic S
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Pattern Recognition for Proteomic S
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Pattern Recognition for Proteomic S
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Pattern Recognition for Proteomic S
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398 Index CyDye labeling, 95, 105-1
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400 Index MASCOT search engine, 87
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402 Index Protein profiling of huma
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404 Index InterPro, 352, 361 MEROPS