In Silico Tools for Gene Discovery by Bing YuIn Silico Tools for Gene Discovery by Bing Yu

In Silico Tools for Gene Discovery

EditorBing Yu, Marcus Hinchcliffe

Hardcover | July 25, 2011

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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 BiologyT 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.
Title:In Silico Tools for Gene DiscoveryFormat:HardcoverDimensions:376 pagesPublished:July 25, 2011Publisher:Humana PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:161779175X

ISBN - 13:9781617791758

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Table of Contents

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