Computational biology and genome informatics /:
This study contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expres...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey :
World Scientific,
©2003.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | This study contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modelling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the work is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own. |
| Beschreibung: | 1 online resource (viii, 257 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9812382577 9789812382573 9812564497 9789812564498 1281347736 9781281347732 9786611347734 6611347739 |
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| 245 | 0 | 0 | |a Computational biology and genome informatics / |c editors, Jason T.L. Wang, Cathy H. Wu, Paul P. Wang. |
| 260 | |a New Jersey : |b World Scientific, |c ©2003. | ||
| 300 | |a 1 online resource (viii, 257 pages) : |b illustrations (some color) | ||
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| 505 | 0 | |a Cover -- Preface -- Contents -- Chapter 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm -- 1.1 Introduction -- 1.2 Algorithmic Implementation -- Population -- Basic Algorithm -- Additional Features -- 1.3 Data Generation and Analysis -- Exemplary Biological Systems -- Population Dynamics and Interactive Visualization -- Stem Trace and Structurelab -- Single Run Analysis -- Multiple Run Analysis -- Multiple Population Size Analysis -- 1.4 Biological Application -- PSTVd -- hok/sok -- 1.5 Conclusions -- Acknowledgment -- References -- Authors' Addresses -- Chapter 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication -- 2.1 Introduction -- 2.2 Background -- Chemistry and Biology of DNA -- DNA as a Structural Material -- Design of Base Sequences for DNA Nanoconstruction -- 2.3 Experiments and Applications -- DNA-based Computation -- Algorithmic Self-Assembly -- Patterned DNA Nanostructures -- Patterned Immobilization of Other Materials on DNA Arrays -- 2.4 Summary and Future Directions -- Possible Future Applications -- Acknowledgments -- References -- Author's Address -- Chapter 3 Mapping Sequence to Rice FPC -- 3.1 Introduction -- 3.2 Overview of FPC -- 3.3 Mapping Sequence to FPC contigs -- FSD (FPC Simulated Digest) -- BSS (BLAST Some Sequence) -- Merging contigs -- Anchoring contigs -- WebFPC -- 3.4 Discussion -- Acknowledgments -- References -- Authors' Addresses -- Chapter 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison -- 4.1 Introduction -- 4.1.1 Database search as a genome annotation tool -- 4.1.2 Clustering algorithms as a genome annotation tool -- 4.2 Preliminaries -- 4.3 Sequence Clustering Algorithms Based on Graph Theory -- 4.3.1 Matsuda, Ishihara, and Hashimoto algorithm -- 4.3.2 Matsuda algorithm -- 4.3.3 COG: cluster of orthologous groups -- 4.3.4 GeneRAGE -- 4.4 A New Graph Theoretic Sequence Clustering Algorithm -- 4.4.1 The basic algorithm -- 4.4.2 Result from application of the basic algorithm -- 4.5 BAG: The Extended Clustering Algorithm -- 4.5.1 Issues with the basic algorithm -- 4.5.2 Setting the cutoff threshold -- 4.5.3 The overview of the extended algorithm -- 4.5.4 AP-TEST -- 4.5.5 RANGE-TEST -- 4.5.6 HYPERGRAPH-MERGE -- 4.5.7 The Algorithm -- 4.6 Implementation -- 4.7 Application to Genome Comparison -- 4.7.1 Splitting families -- 4.7.2 Merging families -- 4.8 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 5 The Protein Information Resource for Functional Genomics and Proteomics -- 5.1 Introduction -- 5.2 PIR-International Protein Sequence Database -- Superfamily Classification -- Evidence Attribution and Bibliography Submission -- 5.3 PIR Non-Redundant Refence Protein Database -- 5.4 Integrated Protein Classification Database -- 5.5 PIR System Distribution -- PIR Web Access -- PIR FTP Transfer -- 5.6 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 6 High-Grade Ore for Data Mining in 3D Structures -- 6.1 Introduction -- 6.2 Traditional Quality Measures -- 6.3 All-Atom Contacts for Assessing Structural Accuracy -- 6.4. | |
| 520 | |a This study contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modelling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the work is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own. | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Computational biology. |0 http://id.loc.gov/authorities/subjects/sh2003008355 | |
| 650 | 0 | |a Genetics |x Mathematical models. |0 http://id.loc.gov/authorities/subjects/sh85053879 | |
| 650 | 0 | |a Genomics. |0 http://id.loc.gov/authorities/subjects/sh2002000809 | |
| 650 | 2 | |a Computational Biology |x methods | |
| 650 | 2 | |a Genomics |x methods | |
| 650 | 2 | |a Proteomics |x methods | |
| 650 | 2 | |a Computational Biology |0 https://id.nlm.nih.gov/mesh/D019295 | |
| 650 | 2 | |a Genomics |0 https://id.nlm.nih.gov/mesh/D023281 | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Génomique. | |
| 650 | 7 | |a NATURE |x Reference. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x General. |2 bisacsh | |
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| 650 | 0 | 7 | |a Genomics. |2 cct |
| 650 | 0 | 7 | |a Computational Biology |x methods. |2 cct |
| 650 | 0 | 7 | |a Genomics |x methods. |2 cct |
| 650 | 0 | 7 | |a Proteomics |x methods. |2 cct |
| 650 | 0 | 7 | |a Computational Biology. |2 cct |
| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Genetics |x Mathematical models |2 fast | |
| 650 | 7 | |a Genomics |2 fast | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Wang, Jason T. L. |1 https://id.oclc.org/worldcat/entity/E39PCjCbcWVjvYGhpPCMgJX7h3 |0 http://id.loc.gov/authorities/names/n98038837 | |
| 700 | 1 | |a Wu, Cathy H. |1 https://id.oclc.org/worldcat/entity/E39PCjMvmWkqCFh7FGk38RRBj3 |0 http://id.loc.gov/authorities/names/n2003008664 | |
| 700 | 1 | |a Wang, Paul P. |1 https://id.oclc.org/worldcat/entity/E39PCjt4ggcGrHbty8jTBrX68C |0 http://id.loc.gov/authorities/names/n80091033 | |
| 758 | |i has work: |a Computational biology and genome informatics (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGhpvVT7v6tRdPr7m6p96q |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Computational biology and genome informatics. |d New Jersey : World Scientific, ©2003 |z 9812382577 |w (DLC) 2003544795 |w (OCoLC)52799518 |
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| contents | Cover -- Preface -- Contents -- Chapter 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm -- 1.1 Introduction -- 1.2 Algorithmic Implementation -- Population -- Basic Algorithm -- Additional Features -- 1.3 Data Generation and Analysis -- Exemplary Biological Systems -- Population Dynamics and Interactive Visualization -- Stem Trace and Structurelab -- Single Run Analysis -- Multiple Run Analysis -- Multiple Population Size Analysis -- 1.4 Biological Application -- PSTVd -- hok/sok -- 1.5 Conclusions -- Acknowledgment -- References -- Authors' Addresses -- Chapter 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication -- 2.1 Introduction -- 2.2 Background -- Chemistry and Biology of DNA -- DNA as a Structural Material -- Design of Base Sequences for DNA Nanoconstruction -- 2.3 Experiments and Applications -- DNA-based Computation -- Algorithmic Self-Assembly -- Patterned DNA Nanostructures -- Patterned Immobilization of Other Materials on DNA Arrays -- 2.4 Summary and Future Directions -- Possible Future Applications -- Acknowledgments -- References -- Author's Address -- Chapter 3 Mapping Sequence to Rice FPC -- 3.1 Introduction -- 3.2 Overview of FPC -- 3.3 Mapping Sequence to FPC contigs -- FSD (FPC Simulated Digest) -- BSS (BLAST Some Sequence) -- Merging contigs -- Anchoring contigs -- WebFPC -- 3.4 Discussion -- Acknowledgments -- References -- Authors' Addresses -- Chapter 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison -- 4.1 Introduction -- 4.1.1 Database search as a genome annotation tool -- 4.1.2 Clustering algorithms as a genome annotation tool -- 4.2 Preliminaries -- 4.3 Sequence Clustering Algorithms Based on Graph Theory -- 4.3.1 Matsuda, Ishihara, and Hashimoto algorithm -- 4.3.2 Matsuda algorithm -- 4.3.3 COG: cluster of orthologous groups -- 4.3.4 GeneRAGE -- 4.4 A New Graph Theoretic Sequence Clustering Algorithm -- 4.4.1 The basic algorithm -- 4.4.2 Result from application of the basic algorithm -- 4.5 BAG: The Extended Clustering Algorithm -- 4.5.1 Issues with the basic algorithm -- 4.5.2 Setting the cutoff threshold -- 4.5.3 The overview of the extended algorithm -- 4.5.4 AP-TEST -- 4.5.5 RANGE-TEST -- 4.5.6 HYPERGRAPH-MERGE -- 4.5.7 The Algorithm -- 4.6 Implementation -- 4.7 Application to Genome Comparison -- 4.7.1 Splitting families -- 4.7.2 Merging families -- 4.8 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 5 The Protein Information Resource for Functional Genomics and Proteomics -- 5.1 Introduction -- 5.2 PIR-International Protein Sequence Database -- Superfamily Classification -- Evidence Attribution and Bibliography Submission -- 5.3 PIR Non-Redundant Refence Protein Database -- 5.4 Integrated Protein Classification Database -- 5.5 PIR System Distribution -- PIR Web Access -- PIR FTP Transfer -- 5.6 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 6 High-Grade Ore for Data Mining in 3D Structures -- 6.1 Introduction -- 6.2 Traditional Quality Measures -- 6.3 All-Atom Contacts for Assessing Structural Accuracy -- 6.4. |
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| discipline | Biologie |
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| physical | 1 online resource (viii, 257 pages) : illustrations (some color) |
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| spelling | Computational biology and genome informatics / editors, Jason T.L. Wang, Cathy H. Wu, Paul P. Wang. New Jersey : World Scientific, ©2003. 1 online resource (viii, 257 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Cover -- Preface -- Contents -- Chapter 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm -- 1.1 Introduction -- 1.2 Algorithmic Implementation -- Population -- Basic Algorithm -- Additional Features -- 1.3 Data Generation and Analysis -- Exemplary Biological Systems -- Population Dynamics and Interactive Visualization -- Stem Trace and Structurelab -- Single Run Analysis -- Multiple Run Analysis -- Multiple Population Size Analysis -- 1.4 Biological Application -- PSTVd -- hok/sok -- 1.5 Conclusions -- Acknowledgment -- References -- Authors' Addresses -- Chapter 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication -- 2.1 Introduction -- 2.2 Background -- Chemistry and Biology of DNA -- DNA as a Structural Material -- Design of Base Sequences for DNA Nanoconstruction -- 2.3 Experiments and Applications -- DNA-based Computation -- Algorithmic Self-Assembly -- Patterned DNA Nanostructures -- Patterned Immobilization of Other Materials on DNA Arrays -- 2.4 Summary and Future Directions -- Possible Future Applications -- Acknowledgments -- References -- Author's Address -- Chapter 3 Mapping Sequence to Rice FPC -- 3.1 Introduction -- 3.2 Overview of FPC -- 3.3 Mapping Sequence to FPC contigs -- FSD (FPC Simulated Digest) -- BSS (BLAST Some Sequence) -- Merging contigs -- Anchoring contigs -- WebFPC -- 3.4 Discussion -- Acknowledgments -- References -- Authors' Addresses -- Chapter 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison -- 4.1 Introduction -- 4.1.1 Database search as a genome annotation tool -- 4.1.2 Clustering algorithms as a genome annotation tool -- 4.2 Preliminaries -- 4.3 Sequence Clustering Algorithms Based on Graph Theory -- 4.3.1 Matsuda, Ishihara, and Hashimoto algorithm -- 4.3.2 Matsuda algorithm -- 4.3.3 COG: cluster of orthologous groups -- 4.3.4 GeneRAGE -- 4.4 A New Graph Theoretic Sequence Clustering Algorithm -- 4.4.1 The basic algorithm -- 4.4.2 Result from application of the basic algorithm -- 4.5 BAG: The Extended Clustering Algorithm -- 4.5.1 Issues with the basic algorithm -- 4.5.2 Setting the cutoff threshold -- 4.5.3 The overview of the extended algorithm -- 4.5.4 AP-TEST -- 4.5.5 RANGE-TEST -- 4.5.6 HYPERGRAPH-MERGE -- 4.5.7 The Algorithm -- 4.6 Implementation -- 4.7 Application to Genome Comparison -- 4.7.1 Splitting families -- 4.7.2 Merging families -- 4.8 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 5 The Protein Information Resource for Functional Genomics and Proteomics -- 5.1 Introduction -- 5.2 PIR-International Protein Sequence Database -- Superfamily Classification -- Evidence Attribution and Bibliography Submission -- 5.3 PIR Non-Redundant Refence Protein Database -- 5.4 Integrated Protein Classification Database -- 5.5 PIR System Distribution -- PIR Web Access -- PIR FTP Transfer -- 5.6 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 6 High-Grade Ore for Data Mining in 3D Structures -- 6.1 Introduction -- 6.2 Traditional Quality Measures -- 6.3 All-Atom Contacts for Assessing Structural Accuracy -- 6.4. This study contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modelling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the work is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own. Print version record. Includes bibliographical references and index. English. Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Genetics Mathematical models. http://id.loc.gov/authorities/subjects/sh85053879 Genomics. http://id.loc.gov/authorities/subjects/sh2002000809 Computational Biology methods Genomics methods Proteomics methods Computational Biology https://id.nlm.nih.gov/mesh/D019295 Genomics https://id.nlm.nih.gov/mesh/D023281 Bio-informatique. Génomique. NATURE Reference. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE Life Sciences Biology. bisacsh Genetics Mathematical models. cct Genomics. cct Computational Biology methods. cct Genomics methods. cct Proteomics methods. cct Computational Biology. cct Computational biology fast Genetics Mathematical models fast Genomics fast Electronic books. Wang, Jason T. L. https://id.oclc.org/worldcat/entity/E39PCjCbcWVjvYGhpPCMgJX7h3 http://id.loc.gov/authorities/names/n98038837 Wu, Cathy H. https://id.oclc.org/worldcat/entity/E39PCjMvmWkqCFh7FGk38RRBj3 http://id.loc.gov/authorities/names/n2003008664 Wang, Paul P. https://id.oclc.org/worldcat/entity/E39PCjt4ggcGrHbty8jTBrX68C http://id.loc.gov/authorities/names/n80091033 has work: Computational biology and genome informatics (Text) https://id.oclc.org/worldcat/entity/E39PCGhpvVT7v6tRdPr7m6p96q https://id.oclc.org/worldcat/ontology/hasWork Print version: Computational biology and genome informatics. New Jersey : World Scientific, ©2003 9812382577 (DLC) 2003544795 (OCoLC)52799518 |
| spellingShingle | Computational biology and genome informatics / Cover -- Preface -- Contents -- Chapter 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm -- 1.1 Introduction -- 1.2 Algorithmic Implementation -- Population -- Basic Algorithm -- Additional Features -- 1.3 Data Generation and Analysis -- Exemplary Biological Systems -- Population Dynamics and Interactive Visualization -- Stem Trace and Structurelab -- Single Run Analysis -- Multiple Run Analysis -- Multiple Population Size Analysis -- 1.4 Biological Application -- PSTVd -- hok/sok -- 1.5 Conclusions -- Acknowledgment -- References -- Authors' Addresses -- Chapter 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication -- 2.1 Introduction -- 2.2 Background -- Chemistry and Biology of DNA -- DNA as a Structural Material -- Design of Base Sequences for DNA Nanoconstruction -- 2.3 Experiments and Applications -- DNA-based Computation -- Algorithmic Self-Assembly -- Patterned DNA Nanostructures -- Patterned Immobilization of Other Materials on DNA Arrays -- 2.4 Summary and Future Directions -- Possible Future Applications -- Acknowledgments -- References -- Author's Address -- Chapter 3 Mapping Sequence to Rice FPC -- 3.1 Introduction -- 3.2 Overview of FPC -- 3.3 Mapping Sequence to FPC contigs -- FSD (FPC Simulated Digest) -- BSS (BLAST Some Sequence) -- Merging contigs -- Anchoring contigs -- WebFPC -- 3.4 Discussion -- Acknowledgments -- References -- Authors' Addresses -- Chapter 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison -- 4.1 Introduction -- 4.1.1 Database search as a genome annotation tool -- 4.1.2 Clustering algorithms as a genome annotation tool -- 4.2 Preliminaries -- 4.3 Sequence Clustering Algorithms Based on Graph Theory -- 4.3.1 Matsuda, Ishihara, and Hashimoto algorithm -- 4.3.2 Matsuda algorithm -- 4.3.3 COG: cluster of orthologous groups -- 4.3.4 GeneRAGE -- 4.4 A New Graph Theoretic Sequence Clustering Algorithm -- 4.4.1 The basic algorithm -- 4.4.2 Result from application of the basic algorithm -- 4.5 BAG: The Extended Clustering Algorithm -- 4.5.1 Issues with the basic algorithm -- 4.5.2 Setting the cutoff threshold -- 4.5.3 The overview of the extended algorithm -- 4.5.4 AP-TEST -- 4.5.5 RANGE-TEST -- 4.5.6 HYPERGRAPH-MERGE -- 4.5.7 The Algorithm -- 4.6 Implementation -- 4.7 Application to Genome Comparison -- 4.7.1 Splitting families -- 4.7.2 Merging families -- 4.8 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 5 The Protein Information Resource for Functional Genomics and Proteomics -- 5.1 Introduction -- 5.2 PIR-International Protein Sequence Database -- Superfamily Classification -- Evidence Attribution and Bibliography Submission -- 5.3 PIR Non-Redundant Refence Protein Database -- 5.4 Integrated Protein Classification Database -- 5.5 PIR System Distribution -- PIR Web Access -- PIR FTP Transfer -- 5.6 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 6 High-Grade Ore for Data Mining in 3D Structures -- 6.1 Introduction -- 6.2 Traditional Quality Measures -- 6.3 All-Atom Contacts for Assessing Structural Accuracy -- 6.4. Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Genetics Mathematical models. http://id.loc.gov/authorities/subjects/sh85053879 Genomics. http://id.loc.gov/authorities/subjects/sh2002000809 Computational Biology methods Genomics methods Proteomics methods Computational Biology https://id.nlm.nih.gov/mesh/D019295 Genomics https://id.nlm.nih.gov/mesh/D023281 Bio-informatique. Génomique. NATURE Reference. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE Life Sciences Biology. bisacsh Genetics Mathematical models. cct Genomics. cct Computational Biology methods. cct Genomics methods. cct Proteomics methods. cct Computational Biology. cct Computational biology fast Genetics Mathematical models fast Genomics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2003008355 http://id.loc.gov/authorities/subjects/sh85053879 http://id.loc.gov/authorities/subjects/sh2002000809 https://id.nlm.nih.gov/mesh/D019295 https://id.nlm.nih.gov/mesh/D023281 |
| title | Computational biology and genome informatics / |
| title_auth | Computational biology and genome informatics / |
| title_exact_search | Computational biology and genome informatics / |
| title_full | Computational biology and genome informatics / editors, Jason T.L. Wang, Cathy H. Wu, Paul P. Wang. |
| title_fullStr | Computational biology and genome informatics / editors, Jason T.L. Wang, Cathy H. Wu, Paul P. Wang. |
| title_full_unstemmed | Computational biology and genome informatics / editors, Jason T.L. Wang, Cathy H. Wu, Paul P. Wang. |
| title_short | Computational biology and genome informatics / |
| title_sort | computational biology and genome informatics |
| topic | Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Genetics Mathematical models. http://id.loc.gov/authorities/subjects/sh85053879 Genomics. http://id.loc.gov/authorities/subjects/sh2002000809 Computational Biology methods Genomics methods Proteomics methods Computational Biology https://id.nlm.nih.gov/mesh/D019295 Genomics https://id.nlm.nih.gov/mesh/D023281 Bio-informatique. Génomique. NATURE Reference. bisacsh SCIENCE Life Sciences General. bisacsh SCIENCE Life Sciences Biology. bisacsh Genetics Mathematical models. cct Genomics. cct Computational Biology methods. cct Genomics methods. cct Proteomics methods. cct Computational Biology. cct Computational biology fast Genetics Mathematical models fast Genomics fast |
| topic_facet | Computational biology. Genetics Mathematical models. Genomics. Computational Biology methods Genomics methods Proteomics methods Computational Biology Genomics Bio-informatique. Génomique. NATURE Reference. SCIENCE Life Sciences General. SCIENCE Life Sciences Biology. Computational Biology methods. Genomics methods. Proteomics methods. Computational Biology. Computational biology Genetics Mathematical models Electronic books. |
| work_keys_str_mv | AT wangjasontl computationalbiologyandgenomeinformatics AT wucathyh computationalbiologyandgenomeinformatics AT wangpaulp computationalbiologyandgenomeinformatics |