Genome Exploitation: Data Mining the Genome
Gespeichert in:
Weitere Verfasser: | |
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Format: | Buch |
Sprache: | English |
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New York [u.a.]
Springer
2005
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Schriftenreihe: | Stadler symposia
23 |
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ISBN: | 038724123X 9780387241234 |
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adam_text | Contents
Chapter 1
Rice Genome Sequencing and Data Mining Resources 1
Baltazar A. Antonio, Yoshiaki Nagamura, Nobukasu Namiki,
Takashi Matsumoto, and Takuji Sasaki
1. Introduction 1
2. Rice Genome Sequencing 2
3. Rice Genome Informatics 4
4. Functional Genomics Resources 6
5. Towards an Integrated Data Mining Resource 8
6. References 9
Chapter 2
Application of Evolutionary Computation to
Bioinformatics 13
Daniel Ashlock
1. Introduction 13
2. Evolutionary Computation 14
3. Finding a Transposon Insertion Motif 16
4. PCR Primer Picking 18
5. DNA Bar Code Location 24
6. Summary 28
7. References 29
ix
x Contents
Chapter 3
Architectures for Integration of Data and Applications: Lessons from
Integration Projects 31
William D. Beavis
1. Introduction 31
2. A Web Accessible Data Warehouse (TAIR) 35
2.1. Description 35
2.2. Lessons 37
3. An Automated Analysis and Annotation Pipeline (XGI) 37
3.1. Description 37
3.2. Lessons 39
4. An Open Source Integrated System (Genex Lite) 40
4.1. Introduction 40
4.2. Lessons 43
5. Loose Coupling Integration (ISYS) 43
5.1. Description 43
5.2. Lessons 45
6. Summary of Lessons Learned from All Integration Projects 45
7. References 46
Chapter 4
Functional Genomics Approach to Elucidate the Regulation of
Vascular Development in Poplar 49
Rishikesh P. Bhalerao and Goran Sandberg
1. Introduction 49
2. Poplar as a Model for Studying Formation 51
3. Elucidating the Control of Secondary Xylem Development 51
3.1. The Role of Aux/IAA Genes in Regulation of Secondary
Xylem Development 51
3.2. Genomics Approach to Elucidation of Secondary Xylem
Development 53
4. The Seasonal Control of Cambial Activity 56
4.1. Large Scale Sequencing of Active and Dormant Cambial
Libraries 57
4.2. Transcript Profiling of Active and Dormant Cambium 58
5. Future Perspectives 59
5.1. Arabidopsis as Test Bed for Rapidly Identifying Genes
Involved in Vascular Development 59
5.2. Rapid Analysis of Gene Function of Poplar Genes with
Unknown Function 60
Contents xi
6. Conclusions 60
7. References 61
Chapter 5
Novel Tools for Plant Genome Annotation and Applications to
Arabidopsis and Rice 63
Volker Brendel
1. Introduction 63
2. Boon and Bane of the Industrialization of Molecular Biology and
Genetics 64
3. The Gene Structure Annotation Problem 65
4. Gene Structure Annotation by Spliced Alignment 65
5. The Case for a Community Approach to Annotation 68
6. Perspective 75
7. References 75
Chapter 6
FCModeler: Dynamic Graph Display and Fuzzy Modeling
of Metabolic Maps 77
Julie A. Dickerson
1. Modeling Metabolic Networks 77
2. Metabolic Networking Database 78
3. Modeling Metabolic Relationships 79
3.1. Graphing the Metabolic Map: FCModeler 80
3.2. Modeling Metabolic Networks Using Fuzzy Cognitive Maps 81
3.3. Cycle Analysis in Metabolic Networks 82
4. Representing Metabolic Pathways in Virtual Reality 82
4.1. 3 D Network Visualization 83
4.2. User Interaction and Navigation 83
4.3. Virtual Cell Representation 85
5. Summary 85
6. References 86
Chapter 7
Old Methods for New Ideas: Genetic Dissection of the Determinants
of Gene Expression Levels 89
Kyunga Kim, Marilyn A.L. West, Richard W. Michelmore,
Dina A. St. Clair, and R.W. Doerge
xii Contents
1. Introduction 89
2. Genetical Genomics 90
3. Methods 91
3.1. Dye Swap Experimental Design 92
3.2. Modelling Determinants of Expression Level Polymorphisms 92
3.3. Experimental Design for Expression Level Polymorphism
Analysis 94
3.4. Implementation of ELP Mapping Using Existing Multiple Trait
Mapping Methodology 96
4. Simulation Study 97
4.1. Simulation of RIL Genotypes 97
4.2. Simulation of Gene Expression Simulation 98
4.3. Multiple Gene/trait JZmapqtl Mapping 99
4.4. Simulation Results 101
5. Discussion 104
6. References 105
Chapter 8
Charting Contig Component Relationships within the Triticeae:
Exploiting the Genome 109
Gerard R. Lazo, Nancy Lui, Frank M. You, David D. Hummel,
Shiaoman Chao, and Olin D. Anderson
1. Introduction 109
2. Approach 110
2.1. Display Settings Ill
2.2. Discerning Contig Component Relationships 112
2.3. Other Applications 115
3. Software 117
4. Discussion 117
5. References 119
Chapter 9
Protein Family Classification with Discriminant Function Analysis.. 121
Etsuko N. Moriyama and Junhyong Kim
1. Introduction 121
1.1. Protein Classification Methods 122
1.2. Pros and Cons for the Current Protein Classification Tools... 122
1.3. G protein Coupled Receptor Super Family 124
2. Discriminant Analysis 126
2.1. Input Variables 126
Contents xiii
2.2. Datasets 127
2.3. Discrimination Methods 127
2.4. Performance Comparisons for the GPCR Protein Family
Classification 128
3. Development of a Hierarchical Classification Algorithm 130
4. References 131
Chapter 10
Exploiting Natural Variation to Understand Gene Function in Pine . 133
David B. Neale and Garth R. Brown
1. Introduction 133
1.1. Association Mapping in Plants 134
2. Pine is a Model Species to Understand Allelic Effects on Phenotypes 134
2.1. Pines are Evolutionarily Much Older than Crop Species 135
2.2. Pines are Mostly Undomesticated and Are Found in Large
Random Mating Populations 135
2.3. Clonal Replication Permits Precise Evaluation of Phenotypes 136
2.4. Direct Determination of Haplotype 136
3. Association Mapping in Loblolly Pine 138
3.1. Clonal Association Mapping Populations and Phenotypic
Evaluations 138
3.2. SNP Discovery, Nucleotide Diversity and Linkage
Disequilibrium 138
3.3. Associations between SNP Genotype and Phenotype 142
4. Summary 143
5. References 143
Chapter 11
Merging Analyses of Predisposition and Physiology Towards Polygene
Discovery 145
Daniel Pomp, Mark F. Allan, and Stephanie R. Wesolowsk
1. Introduction 145
2. Significance 147
3. Background 147
4. Transcriptome Mapping: A New Experimental Paradigm for Analysis
of Complex Trait Genetics 149
4.1. Expected Outcomes from the Transcriptome Mapping
Paradigm 151
4.2. Future Directions for Transcriptome Mapping 154
5. Statistical Issues 154
xiv Contents
6. Implementation 155
7. References 158
Chapter 12
Mining the EST Databases to Determine Evolutionary Events
in the Legumes and Grasses 163
Jessica A. Schlueter, Phillip Dixon, Cheryl Granger,
and Randy C. Shoemaker
1. Introduction 163
2. Evolutionary History of Legumes and Grasses 164
3. Identification of Duplicated Contigs 166
4. Pairwise Distance Measures and Mixtures of Normal
Distributions 167
5. Coalesence Estimates 169
6. Positively Selected Genes 175
7. Summary 177
8. References 178
Chapter 13
A Biologist s View of Systems Integration Systems Biology:
The Pathogen Portal Project 183
R. Lathigra, Y. He, R.R. Vines, E.K. Nordberg, and B.W.S. Sobral
1. Introduction 183
2. Illustration of PathPort 185
2.1. Use of PathPort for Genome Annotation and
Comparison 185
2.2. PathPort as a Pathogen Information Resource 187
3. Other PathPort Tools for Functional Annotation 191
4. Discussion 192
5. References 195
Chapter 14
Alignment of Wheat and Rice Structural Genomics Resources 197
Daryl J. Somers, Sylvie Cloutier, and Travis Banks
1. Introduction 197
2. Primary Structural Genomics Resources 198
Contents xv
2.1. Genetic Maps 198
2.2. QTL Mapping 199
2.3. EST Sequences 199
2.4. Chinese Spring Deletion Lines 199
2.5. Large Insert Libraries 200
2.6. Rice Genome Sequence 201
3. SNPs in Wheat ESTs 202
3.1. Nested PCR Analysis of SNPs 202
3.2. Development of Genome Specific SNPs 203
4. Wheat/Rice Virtual Mapping (WRVM) 204
5. Implementation of WRVM 207
6. Summary 207
7. References 209
Chapter 15
Computational Identification of Legume Specific Genes 211
Michelle A. Graham, Kevin A. T. Silverstein, Steven B. Cannon,
and Kathryn A. VandenBosch
1. Identification of Sequences of Interest from Public Databases 211
2. Importance of Legumes 212
3. Databases of Expressed Sequence Tags 212
3.1. Data Mining the TIGR Gene Indices 213
3.2. Data Mining the M. truncatula MtDB Database 213
4. Identification of Legume Specific Genes 214
4.1. Using BLAST to Identify Legume Specific Genes 214
4.2. Are the Identified Legume Specific TCs Really
Legume Specific? 217
5. How Can a Gene s Function be Determined When BLAST Fails to
Find a Homolog? 218
5.1. Single Linkage Clustering 218
5.2. Motif Searching 220
6. Future Goals 223
7. References 223
ABSTRACTS
Brahms and Beergenes: Information Management for Genetic
Research on Barley and Oat 229
Jean Gerster, Nicholas A. Tinker, Yella Jovich Zahirovich, Anissa Lybaert,
Shaolin Liu, Stephen J. Molnar, and Diane E. Mather
xvi Contents
Microcolinearity in the Allotetraploid Gossypium hirsutum 231
C. Grover, H. Kim, R.A. Wing, and J.F. Wendel
Determining the Chromosomal Location of the Wheat Leaf Rust
Resistance Gene LrWl 233
C. Hiebert, J. Thomas, and B. McCallum
Characterization of EST Libraries from Drought Stressed Leaves
and Penetrated Roots of Rice 235
Md S. Pathan, William G. Spollen, Mark Fredricksen, Hans J. Bohnert,
Deshui Zhang, and Henry T. Nguyen
The Phylogenetic Utility of N Length DNA Strings in Plants 237
Ryan Rapp and J. Gordon Burleigh
Telocentrics as a Breeding Tool in Wheat 239
Erica Riedel and Julian Thomas
Comparative DNA Sequence Analysis of Wheat and Rice Genomes.. 241
Mark E. Sorrells and Mauricio La Rota
Marker Assisted Backcrossing—Some Lessons from Simulation 243
Julian Thomas and Daryl Somers
Ceregenedb: A Database of Coding Sequence Conservation Between
Rice and Nonrice Cereals and Arabidopsis 245
Shibo Zhang, Brian C. Thomas, and Peggy G. Lemaux
Index 247
|
adam_txt |
Contents
Chapter 1
Rice Genome Sequencing and Data Mining Resources 1
Baltazar A. Antonio, Yoshiaki Nagamura, Nobukasu Namiki,
Takashi Matsumoto, and Takuji Sasaki
1. Introduction 1
2. Rice Genome Sequencing 2
3. Rice Genome Informatics 4
4. Functional Genomics Resources 6
5. Towards an Integrated Data Mining Resource 8
6. References 9
Chapter 2
Application of Evolutionary Computation to
Bioinformatics 13
Daniel Ashlock
1. Introduction 13
2. Evolutionary Computation 14
3. Finding a Transposon Insertion Motif 16
4. PCR Primer Picking 18
5. DNA Bar Code Location 24
6. Summary 28
7. References 29
ix
x Contents
Chapter 3
Architectures for Integration of Data and Applications: Lessons from
Integration Projects 31
William D. Beavis
1. Introduction 31
2. A Web Accessible Data Warehouse (TAIR) 35
2.1. Description 35
2.2. Lessons 37
3. An Automated Analysis and Annotation Pipeline (XGI) 37
3.1. Description 37
3.2. Lessons 39
4. An Open Source Integrated System (Genex Lite) 40
4.1. Introduction 40
4.2. Lessons 43
5. Loose Coupling Integration (ISYS) 43
5.1. Description 43
5.2. Lessons 45
6. Summary of Lessons Learned from All Integration Projects 45
7. References 46
Chapter 4
Functional Genomics Approach to Elucidate the Regulation of
Vascular Development in Poplar 49
Rishikesh P. Bhalerao and Goran Sandberg
1. Introduction 49
2. Poplar as a Model for Studying Formation 51
3. Elucidating the Control of Secondary Xylem Development 51
3.1. The Role of Aux/IAA Genes in Regulation of Secondary
Xylem Development 51
3.2. Genomics Approach to Elucidation of Secondary Xylem
Development 53
4. The Seasonal Control of Cambial Activity 56
4.1. Large Scale Sequencing of Active and Dormant Cambial
Libraries 57
4.2. Transcript Profiling of Active and Dormant Cambium 58
5. Future Perspectives 59
5.1. Arabidopsis as Test Bed for Rapidly Identifying Genes
Involved in Vascular Development 59
5.2. Rapid Analysis of Gene Function of Poplar Genes with
Unknown Function 60
Contents xi
6. Conclusions 60
7. References 61
Chapter 5
Novel Tools for Plant Genome Annotation and Applications to
Arabidopsis and Rice 63
Volker Brendel
1. Introduction 63
2. Boon and Bane of the Industrialization of Molecular Biology and
Genetics 64
3. The Gene Structure Annotation Problem 65
4. Gene Structure Annotation by Spliced Alignment 65
5. The Case for a Community Approach to Annotation 68
6. Perspective 75
7. References 75
Chapter 6
FCModeler: Dynamic Graph Display and Fuzzy Modeling
of Metabolic Maps 77
Julie A. Dickerson
1. Modeling Metabolic Networks 77
2. Metabolic Networking Database 78
3. Modeling Metabolic Relationships 79
3.1. Graphing the Metabolic Map: FCModeler 80
3.2. Modeling Metabolic Networks Using Fuzzy Cognitive Maps 81
3.3. Cycle Analysis in Metabolic Networks 82
4. Representing Metabolic Pathways in Virtual Reality 82
4.1. 3 D Network Visualization 83
4.2. User Interaction and Navigation 83
4.3. Virtual Cell Representation 85
5. Summary 85
6. References 86
Chapter 7
Old Methods for New Ideas: Genetic Dissection of the Determinants
of Gene Expression Levels 89
Kyunga Kim, Marilyn A.L. West, Richard W. Michelmore,
Dina A. St. Clair, and R.W. Doerge
xii Contents
1. Introduction 89
2. Genetical Genomics 90
3. Methods 91
3.1. Dye Swap Experimental Design 92
3.2. Modelling Determinants of Expression Level Polymorphisms 92
3.3. Experimental Design for Expression Level Polymorphism
Analysis 94
3.4. Implementation of ELP Mapping Using Existing Multiple Trait
Mapping Methodology 96
4. Simulation Study 97
4.1. Simulation of RIL Genotypes 97
4.2. Simulation of Gene Expression Simulation 98
4.3. Multiple Gene/trait JZmapqtl Mapping 99
4.4. Simulation Results 101
5. Discussion 104
6. References 105
Chapter 8
Charting Contig Component Relationships within the Triticeae:
Exploiting the Genome 109
Gerard R. Lazo, Nancy Lui, Frank M. You, David D. Hummel,
Shiaoman Chao, and Olin D. Anderson
1. Introduction 109
2. Approach 110
2.1. Display Settings Ill
2.2. Discerning Contig Component Relationships 112
2.3. Other Applications 115
3. Software 117
4. Discussion 117
5. References 119
Chapter 9
Protein Family Classification with Discriminant Function Analysis. 121
Etsuko N. Moriyama and Junhyong Kim
1. Introduction 121
1.1. Protein Classification Methods 122
1.2. Pros and Cons for the Current Protein Classification Tools. 122
1.3. G protein Coupled Receptor Super Family 124
2. Discriminant Analysis 126
2.1. Input Variables 126
Contents xiii
2.2. Datasets 127
2.3. Discrimination Methods 127
2.4. Performance Comparisons for the GPCR Protein Family
Classification 128
3. Development of a Hierarchical Classification Algorithm 130
4. References 131
Chapter 10
Exploiting Natural Variation to Understand Gene Function in Pine . 133
David B. Neale and Garth R. Brown
1. Introduction 133
1.1. Association Mapping in Plants 134
2. Pine is a Model Species to Understand Allelic Effects on Phenotypes 134
2.1. Pines are Evolutionarily Much Older than Crop Species 135
2.2. Pines are Mostly Undomesticated and Are Found in Large
Random Mating Populations 135
2.3. Clonal Replication Permits Precise Evaluation of Phenotypes 136
2.4. Direct Determination of Haplotype 136
3. Association Mapping in Loblolly Pine 138
3.1. Clonal Association Mapping Populations and Phenotypic
Evaluations 138
3.2. SNP Discovery, Nucleotide Diversity and Linkage
Disequilibrium 138
3.3. Associations between SNP Genotype and Phenotype 142
4. Summary 143
5. References 143
Chapter 11
Merging Analyses of Predisposition and Physiology Towards Polygene
Discovery 145
Daniel Pomp, Mark F. Allan, and Stephanie R. Wesolowsk
1. Introduction 145
2. Significance 147
3. Background 147
4. Transcriptome Mapping: A New Experimental Paradigm for Analysis
of Complex Trait Genetics 149
4.1. Expected Outcomes from the Transcriptome Mapping
Paradigm 151
4.2. Future Directions for Transcriptome Mapping 154
5. Statistical Issues 154
xiv Contents
6. Implementation 155
7. References 158
Chapter 12
Mining the EST Databases to Determine Evolutionary Events
in the Legumes and Grasses 163
Jessica A. Schlueter, Phillip Dixon, Cheryl Granger,
and Randy C. Shoemaker
1. Introduction 163
2. Evolutionary History of Legumes and Grasses 164
3. Identification of Duplicated Contigs 166
4. Pairwise Distance Measures and Mixtures of Normal
Distributions 167
5. Coalesence Estimates 169
6. Positively Selected Genes 175
7. Summary 177
8. References 178
Chapter 13
A Biologist's View of Systems Integration Systems Biology:
The Pathogen Portal Project 183
R. Lathigra, Y. He, R.R. Vines, E.K. Nordberg, and B.W.S. Sobral
1. Introduction 183
2. Illustration of PathPort 185
2.1. Use of PathPort for Genome Annotation and
Comparison 185
2.2. PathPort as a Pathogen Information Resource 187
3. Other PathPort Tools for Functional Annotation 191
4. Discussion 192
5. References 195
Chapter 14
Alignment of Wheat and Rice Structural Genomics Resources 197
Daryl J. Somers, Sylvie Cloutier, and Travis Banks
1. Introduction 197
2. Primary Structural Genomics Resources 198
Contents xv
2.1. Genetic Maps 198
2.2. QTL Mapping 199
2.3. EST Sequences 199
2.4. Chinese Spring Deletion Lines 199
2.5. Large Insert Libraries 200
2.6. Rice Genome Sequence 201
3. SNPs in Wheat ESTs 202
3.1. Nested PCR Analysis of SNPs 202
3.2. Development of Genome Specific SNPs 203
4. Wheat/Rice Virtual Mapping (WRVM) 204
5. Implementation of 'WRVM' 207
6. Summary 207
7. References 209
Chapter 15
Computational Identification of Legume Specific Genes 211
Michelle A. Graham, Kevin A. T. Silverstein, Steven B. Cannon,
and Kathryn A. VandenBosch
1. Identification of Sequences of Interest from Public Databases 211
2. Importance of Legumes 212
3. Databases of Expressed Sequence Tags 212
3.1. Data Mining the TIGR Gene Indices 213
3.2. Data Mining the M. truncatula MtDB Database 213
4. Identification of Legume Specific Genes 214
4.1. Using BLAST to Identify Legume Specific Genes 214
4.2. Are the Identified Legume Specific TCs Really
Legume Specific? 217
5. How Can a Gene's Function be Determined When BLAST Fails to
Find a Homolog? 218
5.1. Single Linkage Clustering 218
5.2. Motif Searching 220
6. Future Goals 223
7. References 223
ABSTRACTS
Brahms and Beergenes: Information Management for Genetic
Research on Barley and Oat 229
Jean Gerster, Nicholas A. Tinker, Yella Jovich Zahirovich, Anissa Lybaert,
Shaolin Liu, Stephen J. Molnar, and Diane E. Mather
xvi Contents
Microcolinearity in the Allotetraploid Gossypium hirsutum 231
C. Grover, H. Kim, R.A. Wing, and J.F. Wendel
Determining the Chromosomal Location of the Wheat Leaf Rust
Resistance Gene LrWl 233
C. Hiebert, J. Thomas, and B. McCallum
Characterization of EST Libraries from Drought Stressed Leaves
and Penetrated Roots of Rice 235
Md S. Pathan, William G. Spollen, Mark Fredricksen, Hans J. Bohnert,
Deshui Zhang, and Henry T. Nguyen
The Phylogenetic Utility of N Length DNA Strings in Plants 237
Ryan Rapp and J. Gordon Burleigh
Telocentrics as a Breeding Tool in Wheat 239
Erica Riedel and Julian Thomas
Comparative DNA Sequence Analysis of Wheat and Rice Genomes. 241
Mark E. Sorrells and Mauricio La Rota
Marker Assisted Backcrossing—Some Lessons from Simulation 243
Julian Thomas and Daryl Somers
Ceregenedb: A Database of Coding Sequence Conservation Between
Rice and Nonrice Cereals and Arabidopsis 245
Shibo Zhang, Brian C. Thomas, and Peggy G. Lemaux
Index 247 |
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genre_facet | Aufsatzsammlung Konferenzschrift |
id | DE-604.BV021522156 |
illustrated | Illustrated |
index_date | 2024-07-02T14:22:49Z |
indexdate | 2024-07-09T20:37:44Z |
institution | BVB |
isbn | 038724123X 9780387241234 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014738647 |
oclc_num | 57210941 |
open_access_boolean | |
owner | DE-M49 DE-BY-TUM |
owner_facet | DE-M49 DE-BY-TUM |
physical | XVI, 252 S. 47 schw.-w. Ill., 17 farb. Ill., 22 schw.-w. Tab., 7 schw.-w. Fotos, 2 farb. Fotos, 40 schw.-w. graph. Darst., 15 farb. graph. Darst. |
publishDate | 2005 |
publishDateSearch | 2005 |
publishDateSort | 2005 |
publisher | Springer |
record_format | marc |
series | Stadler symposia |
series2 | Stadler symposia |
spelling | Genome Exploitation Data Mining the Genome ed. by J. Perry Gustafson ... New York [u.a.] Springer 2005 XVI, 252 S. 47 schw.-w. Ill., 17 farb. Ill., 22 schw.-w. Tab., 7 schw.-w. Fotos, 2 farb. Fotos, 40 schw.-w. graph. Darst., 15 farb. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Stadler symposia 23 Exploration de données (Informatique) Génomique Computational Biology Congresses Data mining Genome Congresses Genomics Genomics methods Congresses Datenanalyse (DE-588)4123037-1 gnd rswk-swf Genomik (DE-588)4776397-8 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift gnd-content Genomik (DE-588)4776397-8 s Datenanalyse (DE-588)4123037-1 s DE-604 Bioinformatik (DE-588)4611085-9 s Gustafson, John Perry edt Stadler symposia 23 (DE-604)BV021552922 23 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2739051&prov=M&dok_var=1&dok_ext=htm Inhaltstext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014738647&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Genome Exploitation Data Mining the Genome Stadler symposia Exploration de données (Informatique) Génomique Computational Biology Congresses Data mining Genome Congresses Genomics Genomics methods Congresses Datenanalyse (DE-588)4123037-1 gnd Genomik (DE-588)4776397-8 gnd Bioinformatik (DE-588)4611085-9 gnd |
subject_GND | (DE-588)4123037-1 (DE-588)4776397-8 (DE-588)4611085-9 (DE-588)4143413-4 (DE-588)1071861417 |
title | Genome Exploitation Data Mining the Genome |
title_auth | Genome Exploitation Data Mining the Genome |
title_exact_search | Genome Exploitation Data Mining the Genome |
title_exact_search_txtP | Genome Exploitation Data Mining the Genome |
title_full | Genome Exploitation Data Mining the Genome ed. by J. Perry Gustafson ... |
title_fullStr | Genome Exploitation Data Mining the Genome ed. by J. Perry Gustafson ... |
title_full_unstemmed | Genome Exploitation Data Mining the Genome ed. by J. Perry Gustafson ... |
title_short | Genome Exploitation |
title_sort | genome exploitation data mining the genome |
title_sub | Data Mining the Genome |
topic | Exploration de données (Informatique) Génomique Computational Biology Congresses Data mining Genome Congresses Genomics Genomics methods Congresses Datenanalyse (DE-588)4123037-1 gnd Genomik (DE-588)4776397-8 gnd Bioinformatik (DE-588)4611085-9 gnd |
topic_facet | Exploration de données (Informatique) Génomique Computational Biology Congresses Data mining Genome Congresses Genomics Genomics methods Congresses Datenanalyse Genomik Bioinformatik Aufsatzsammlung Konferenzschrift |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=2739051&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014738647&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV021552922 |
work_keys_str_mv | AT gustafsonjohnperry genomeexploitationdataminingthegenome |