In silico tools for gene discovery

著者

書誌事項

In silico tools for gene discovery

edited by Bing Yu, Marcus Hinchcliffe

(Methods in molecular biology / John M. Walker, series editor, v. 760)(Springer protocols)

Humana Press, c2011

  • : hbk

大学図書館所蔵 件 / 2

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

As functional genomics has become one of the major focuses in molecular biology, the need for more sophisticated tools to assist in the identification of the functionality of undefined genes and the correlation of DNA variants with a particular phenotype has increased greatly. In Silico Tools for Gene Discovery collects many common and useful in silico tools available today. The volume begins by investigating locus mapping information on linkage analysis, association mapping, integrative analysis, and exome analysis as well as tools for DNA marker selection, in silico PCR, and statistical analysis. It continues with a section on gene discovery from a defined locus, including gene prioritization, knowledge tracking, and data mining, and concludes with several useful in silico tools presented for the functional characterization of genes, which include DNA sequencing analysis, variant characterization, as well as RNA and protein analysis. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters include introductions to their respective topics, step-by-step, readily reproducible protocols, and vital notes on troubleshooting and avoiding known pitfalls. Resourceful and easy to follow, In Silico Tools for Gene Discovery seeks to facilitate scientists with further key research on locus mapping, to accelerate gene identification, and to help ascertain the functionality of DNA variation.

目次

1. Accessing and Selecting Genetic Markers from Available Resources Christopher G. Bell 2. Linkage Analysis Jennifer H. Barrett and M. Dawn Teare 3. Association Mapping Jodie N. Painter, Dale R. Nyholt, and Grant W. Montgomery 4. The ForeSee (4C) Approach for Integrative Analysis in Gene Discovery Yike Guo, Robin E.J. Munro, Dimitris Kalaitzopoulos, and Anita Grigoriadis 5. R Statistical Tools for Gene Discovery Andrea S. Foulkes and Kinman Au 6. In Silico PCR Analysis Bing Yu and Changbin Zhang 7. In Silico Analysis of the Exome for Gene Discovery Marcus Hinchcliffe and Paul Webster 8. In Silico Knowledge and Content Tracking Herman van Haagen and Barend Mons 9. Application of Gene Ontology to Gene Identification Hugo Bastos, Bruno Tavares, Catia Pesquita, Daniel Faria, and Francisco Couto 10. Phenotype Mining for Functional Genomics and Gene Discovery Philip Groth, Ulf Leser, and Bertram Weiss 11. Conceptual Thinking for In Silico Prioritization of Candidate Disease Genes Nicki Tiffin 12. Web Tools for the Prioritization of Candidate Disease Genes Martin Oti, Sara Ballouz, and Merridee A. Wouters 13. Comparative View of In Silico DNA Sequencing Analysis Tools Sissades Tongsima, Anunchai Assawamakin, Jittima Piriyapongsa, and Philip J. Shaw 14. Mutation Surveyor: An In Silico Tool for Sequencing Analysis Chongmei Dong and Bing Yu 15. In Silico Searching for Disease-Associated Functional DNA Variants Rao Sethumadhavan, C. George Priya Doss, and R. Rajasekaran 16. In Silico Prediction of Transcriptional Factor Binding Sites Dmitry Y. Oshchepkov and Victor G. Levitsky 17. In Silico Prediction of Splice-Affecting Nucleotide Variants Claude Houdayer 18. In Silico Tools for qPCR Assay Design and Data Analysis Stephen Bustin, Anders Bergkvist, and Tania Nolan 19. RNA Structure Prediction Stephan Bernhart 20. In Silico Prediction of Post-Translational Modifications Chunmei Liu and Hui Li 21. In Silico Protein Motif Discovery and Structural Analysis Catherine Mooney,Norman Davey, Alberto J.M. Martin, Ian Walsh, Denis C. Shields, and Gianluca Pollastri

「Nielsen BookData」 より

関連文献: 2件中  1-2を表示

詳細情報

ページトップへ