- Page 2 and 3: Bioinformatics
- Page 4 and 5: M ETHODS IN MOLECULAR BIOLOGY Bioi
- Page 6 and 7: Preface Bioinformatics is the manag
- Page 8 and 9: Contents Preface . . . . . . . . .
- Page 10 and 11: Contributors FAISAL ABABNEH • Dep
- Page 12 and 13: Contents of Volume II SECTION I: ST
- Page 14 and 15: Managing Sequence Data Ilene Karsch
- Page 16 and 17: 2.2. The NCBI RefSeq Project Managi
- Page 18 and 19: 3.2. EST/STS/GSS 3.3. Mammalian Gen
- Page 20 and 21: 3.7. Third-Party Annotation Managin
- Page 22 and 23: 4. 4. Submission of of Sequence Dat
- Page 26 and 27: 7.1. Features and Sequence Managing
- Page 28 and 29: Managing Sequence Data 17 first lev
- Page 30 and 31: 9. Pitfalls Pitfalls of an Archival
- Page 32 and 33: 10. Accessing Sequence Data Managin
- Page 34 and 35: 11. Conclusion 12. Notes Managing S
- Page 36 and 37: Managing Sequence Data 25 by the se
- Page 38 and 39: Acknowledgment References 1. Benson
- Page 40 and 41: 30 Scott and Hennig Large quantitie
- Page 42 and 43: 32 Scott and Hennig 2. Materials 2.
- Page 44 and 45: 34 Scott and Hennig 2.3. Anion-Exch
- Page 46 and 47: 36 Scott and Hennig 3.1.1. Large-Sc
- Page 48 and 49: 38 Scott and Hennig 3.2. NMR Resona
- Page 50 and 51: 40 Scott and Hennig Potentially, th
- Page 52 and 53: 42 Scott and Hennig qualitatively w
- Page 54 and 55: 44 Scott and Hennig 3.2.5. Residual
- Page 56 and 57: 46 Scott and Hennig 3.2.7. Base-to-
- Page 58 and 59: 48 Scott and Hennig Fig. 2.12. Sche
- Page 60 and 61: 50 Scott and Hennig 3.3.2. Molecula
- Page 62 and 63: 52 Scott and Hennig 5. In addition
- Page 64 and 65: 54 Scott and Hennig rapidly with th
- Page 66 and 67: 56 Scott and Hennig Acknowledgments
- Page 68 and 69: 58 Scott and Hennig structure eluci
- Page 70 and 71: 60 Scott and Hennig for correlating
- Page 72 and 73: Chapter 3 Protein Structure Determi
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1.2.2. X-Ray Diffraction 1.2.3. X-R
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1.3. Structure Determination 1.3.1.
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1.3.2. Rotation Function 1.3.3. Tra
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1.4.1. Model Building Protein X-Ray
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3.2. Crystal Cryoprotection Protein
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Protein X-Ray Structure Determinati
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3.5. Molecular Replacement Protein
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3.6. Structure Refinement Protein X
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3.7. Model Building Protein X-Ray S
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4. Notes Protein X-Ray Structure De
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Protein X-Ray Structure Determinati
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References 1. Ducruix, A., Giegè,
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90 Durinck 1.2. Quality Assessment
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92 Durinck 1.5. Data Filtering 1.6.
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94 Durinck 2.1.2. Matrices 2.1.3. L
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96 Durinck 2.4.1. Affymetrix Experi
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98 Durinck >norm=gcrma(data) Comput
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100 Durinck 3.2. cDNA Microarray Da
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102 Durinck Fig. 4.5. Image of the
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104 Durinck 3.3. Detection of Diffe
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106 Durinck Fig. 4.8. Volcano plot,
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108 Durinck 4. Notes hg_u95av2”,v
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110 Durinck 5. Irizarry, R. A., Hob
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112 Harris 1.2. What Is an Ontology
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114 Harris 2.2.1. Groundwork 2.2.1.
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116 Harris 2.2.2. Ontology Construc
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118 Harris 2.2.3. Early Deployment
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120 Harris 3.1.4. Relationship Type
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122 Harris 5. Notes there is no sin
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124 Harris Genetics, Genomics, Prot
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126 Kawaji and Hayashizaki 2. Mater
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128 Kawaji and Hayashizaki 2.1.3. E
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130 Kawaji and Hayashizaki 2.2. Dat
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132 Kawaji and Hayashizaki 4. A gra
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134 Kawaji and Hayashizaki Export C
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136 Kawaji and Hayashizaki chr7: Us
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138 Kawaji and Hayashizaki Referenc
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Multiple Sequence Alignment Walter
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1.4. The Progressive Alignment Prot
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2.2. Unequal Sequence Lengths: Leng
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Multiple Sequence Alignment 149 Tab
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Multiple Sequence Alignment 151 par
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3.4. MAFFT Multiple Sequence Alignm
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3.6. SPEM 4. Notes Multiple Sequenc
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Multiple Sequence Alignment 157 mul
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References 1. Gribskov, M., McLachl
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34. Shi, J., Blundell, T. L., Mizug
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164 McHardy 2. Methods 2.1. Gene Fi
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166 McHardy Table 8.1. Publicly ava
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168 McHardy Fig. 8.2. Output of the
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170 McHardy 2.3. Gene Finding in Eu
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172 McHardy Known proteins Homology
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174 McHardy 3. Notes 1. The periodi
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176 McHardy specialization, and eff
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Bioinformatics Detection of Alterna
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1.2. How to Detect Alternative Alte
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Non-standard splice sites? (+) in m
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2.2. Completeness and Updating of P
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3. Methods 3.1. Pre-Processing Dete
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3.3. Alignment Filtering 3.4. Detec
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Detection of Alternative Splicing 1
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Detection of Alternative Splicing 1
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20. Mironov, A. A., Fickett, J. W.,
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124. Grasso, C., Quist, M., Ke, K.,
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200 Xing and Lee 2. The Isoform Pro
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202 Xing and Lee Fig. 10.2. Splice
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204 Xing and Lee 4. Web Resources a
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Sequence Segmentation Jonathan M. K
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1.2. Change-Point Analysis Sequence
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2. Systems, Data, and Databases 3.
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3.2. Running changept Sequence Segm
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Sequence Segmentation 215 -hp heati
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3.3. Assessing Convergence Sequence
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3.4. Determining Degree of Pooling
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3.6. Generating and Viewing Profile
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Sequence Segmentation 223 segmentat
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3.8. Generating Segments Sequence S
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Sequence Segmentation 227 to 10 lab
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elements in vertebrate, insect, wor
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232 Bailey 2. Representing Sequence
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234 Bailey assumption implies that
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236 Bailey 3. General General Techn
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238 Bailey 4.1. Assemble: Select th
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240 Bailey 4.3. Discover: Run a Mot
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242 Bailey 4.4. Evaluate: Evaluate:
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244 Bailey generate) the random seq
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246 Bailey 5. Limitations of Motif
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248 Bailey References 1. Blais, A.,
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250 Bailey 40. La, D., Silver, M.,
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Modeling Sequence Evolution Pietro
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Fig. 13.1. Schematic description of
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3. DNA Substitution Models where di
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3.1. Modeling Rate Heterogeneity Al
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5. Amino Acid Mutation Models Model
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5.1. Generating Mutation Matrices M
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5.2. Amino Acid Models Incorporatin
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5.3. Amino Acid Models Incorporatin
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6. RNA Model of Evolution 7. Models
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8. Sub-Functionalization Model Mode
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11. Tests for Functional Divergence
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Modeling Sequence Evolution 277 of
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12.1. The Evolution of Introns Mode
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Fig. 13.6. Microsatellite length di
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References 1. Hein, J. (1994) TreeA
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59. von Mering, C., Krause, R., Sne
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288 Whelan 2. Underlying Principles
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290 Whelan 2.2. Why Estimating Tree
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292 Whelan 3.2. Refining the Tree E
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294 Whelan 3.3. Stopping Criteria t
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296 Whelan 4. Confidence Intervals
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298 Whelan 4.2. The Parametric Boot
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300 Whelan 4.3. Limitations of Curr
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302 Whelan 5.2. Sampling the Poster
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304 Whelan 5.4. The Specification o
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306 Whelan mutation. The replacemen
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308 Whelan 13. Chang, J. T. (1996)
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Detecting the Presence and Location
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Presence and Location of Selection
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Presence and Location of Selection
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Presence and Location of Selection
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2.3. Location of Diversifying Selec
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Presence and Location of Selection
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4. Correcting for Multiple Tests Pr
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5. Notes Presence and Location of S
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Presence and Location of Selection
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References 1. McDonald, J., Kreitma
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332 Jermiin et al. thought to have
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334 Jermiin et al. 2.1. Phylogeneti
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336 Jermiin et al. 2.2. Modeling th
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338 Jermiin et al. 3. Choosing a Su
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340 Jermiin et al. 3.3.1. 3.3.1. Ma
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342 Jermiin et al. 3.3.3. Matched-P
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344 Jermiin et al. obtained by usin
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346 Jermiin et al. Fig. 16.2. The t
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348 Jermiin et al. 3.4. Testing Tes
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350 Jermiin et al. (Fig. 16.4C). Th
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352 Jermiin et al. 3.5. Choosing a
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354 Jermiin et al. catering for som
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356 Jermiin et al. two time-reversi
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358 Jermiin et al. 4. Discussion 1.
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360 Jermiin et al. 3. Hardy, M. P.,
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362 Jermiin et al. 59. Azad, R. K.,
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364 Jermiin et al. 114. Shapiro, B.
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366 Catchen, Conery, and Postlethwa
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368 Catchen, Conery, and Postlethwa
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370 Catchen, Conery, and Postlethwa
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372 Catchen, Conery, and Postlethwa
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374 Catchen, Conery, and Postlethwa
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376 Catchen, Conery, and Postlethwa
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378 Catchen, Conery, and Postlethwa
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380 Catchen, Conery, and Postlethwa
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382 Catchen, Conery, and Postlethwa
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Genome Rearrangement by the Double
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1.2.2. DCJ Operation −3 −2 −5
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Genome Rearrangement 389 Fig. 18.4.
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Genome Rearrangement 391 Fig. 18.6.
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1.2.5. Distance Genome Rearrangemen
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1.3. DCJ on Circular and Linear Chr
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(A) (B) 1.3.4. Paths and Cycles 1.3
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1.4. DCJ on Circular and Linear Chr
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1.4.3. Paths and Cycles, Odd and Ev
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1.5. Linear Chromosomes with Restri
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3. Identify synteny blocks (LCBs) i
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3.2. Construction of a White Genome
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3.4. Construction of Adjacency Grap
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3.9. Sorting Without Linear Chromos
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Genome Rearrangement 413 Fig. 18.20
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Acknowledgments References 1. Nadea
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Inferring Ancestral Protein Interac
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2. Materials 2.1. Equipment 2.2. Ge
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Inferring Ancestral Protein Interac
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3.7. Visualization of Protein Inter
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Inferring Ancestral Protein Interac
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Inferring Ancestral Protein Interac
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Acknowledgments References 1. Uetz,
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Chapter 20 Computational Tools for
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2. Materials 2.1. Computer Requirem
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2.3.2. Data for Input to GRIMM and
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3. Methods 3.1. GRIMM-Synteny: Iden
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3.1.3. Forming Synteny Synteny Bloc
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3.1.4. GRIMM-Synteny: Usage and Opt
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3.1.5. Sample Run 1: Human-Mouse- R
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3.2. 3.2. GRIMM: Identifying Identi
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Analysis of Mammalian Genomes 447 G
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3.3.1. Input Format 3.3.2. Output:
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4. Notes Analysis of Mammalian Geno
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(A) File data/unsigned1.txt >genome
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11. Bourque, G., Zdobnov, E., Bork,
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458 Beiko and Ragan 2. Systems, Sys
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460 Beiko and Ragan 3. Methods 3.1.
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462 Beiko and Ragan 3.3. Phylogenet
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464 Beiko and Ragan 4. Notes A) B)
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466 Beiko and Ragan variability to
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468 Beiko and Ragan 8. Nelson, K. E
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Detecting Genetic Recombination Geo
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2. Materials 3. Methods Detecting R
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3.3. Creating the First Phylogeneti
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3.5. Refinement of the Sequence Set
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3.9. Systematic Removal of of Recom
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4. Notes Detecting Recombination 48
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References 1. Beiko, R. G., Ragan,
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486 Bunje and Wirth 2. Data and Mat
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488 Bunje and Wirth 2.3. Types of D
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490 Bunje and Wirth Table 23.1 List
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492 Bunje and Wirth and Phrap (4).
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494 Bunje and Wirth 3. Methods 3.1.
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496 Bunje and Wirth 3.2.2. Mismatch
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498 Bunje and Wirth Fig. 23.2. Exam
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500 Bunje and Wirth Fig. 23.4. The
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502 Bunje and Wirth 3.7.1. Direct E
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504 Bunje and Wirth Acknowledgments
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506 Bunje and Wirth 27. Wilson, G.
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508 Gramm, Nickelsen, and Tantau 1.
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510 Gramm, Nickelsen, and Tantau 1.
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512 Gramm, Nickelsen, and Tantau De
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514 Gramm, Nickelsen, and Tantau 2.
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516 Gramm, Nickelsen, and Tantau 3.
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518 Gramm, Nickelsen, and Tantau De
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520 Gramm, Nickelsen, and Tantau 4.
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522 Gramm, Nickelsen, and Tantau ho
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524 Gramm, Nickelsen, and Tantau Fi
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526 Gramm, Nickelsen, and Tantau ha
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528 Gramm, Nickelsen, and Tantau 7.
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530 Gramm, Nickelsen, and Tantau In
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532 Gramm, Nickelsen, and Tantau 8.
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534 Gramm, Nickelsen, and Tantau 31
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A Ababneh, F., ....................
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Dermitzakis, E. T., ...............
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events in chordate evolution and R3
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Li, W.-H., ........................
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Phosphorus-fitting of doublets from
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RSA Tools......... ................
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UPGMA, tree calculation ...........
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552 BIOINFORMATICS Index Bootstrap
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554 BIOINFORMATICS Index FFT-NS-1 a
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556 BIOINFORMATICS Index Jim Kent w
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558 BIOINFORMATICS Index O OBO-Edit
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560 BIOINFORMATICS Index Reference
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562 BIOINFORMATICS Index Variance S