In silico tools for gene discovery / edited by Bing Yu, Marcus Hinchcliffe.

Contributor(s): Yu, Bing | Hinchcliffe, Marcus
Material type: TextTextSeries: Methods in molecular biology (Clifton, N.J.): v. 760.; Springer protocols (Series): Publisher: New York : Humana, ©2011Description: 1 online resource (xi, 365 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781617791765; 1617791768Subject(s): Functional genomics -- Laboratory manuals | Biomarkers | Investigative Techniques | Computational Biology | Genetics | Genetic Phenomena | Biology | Analytical, Diagnostic and Therapeutic Techniques and Equipment | Biological Factors | Chemicals and Drugs | Biological Science Disciplines | Phenomena and Processes | Natural Science Disciplines | Disciplines and Occupations | Genomics | Genetic Techniques | Phenotype | Genetic Association Studies | Genetic Markers | Methods | Functional genomics | biomedische wetenschappen | biomedicine | humane genetica | human genetics | moleculaire genetica | molecular genetics | Medicine (General) | Geneeskunde (algemeen)Genre/Form: Electronic books. | Laboratory manuals. Additional physical formats: Print version:: In silico tools for gene discovery.DDC classification: 611.01816 LOC classification: RB155-155.8Online resources: Click here to access online
Contents:
Accessing and selecting genetic markers from available resources / Christopher G. Bell -- Linkage analysis / Jennifer H. Barrett and M. Dawn Teare -- Association mapping / Jodie N. Painter, Dale R. Nyholt, and Grant W. Montgomery -- ForeSee (4C) approach for integrative analysis in gene discovery / Yike Guo [and others] -- R statistical tools for gene discovery / Andrea S. Foulkes and Kinman Au -- In silico PCR analysis / Bing Yu and Changbin Zhang -- In silico analysis of the exome for gene discovery / Marcus Hinchcliffe and Paul Webster -- In silico knowledge and content tracking / Herman van Haagen and Barend Mons -- Application of gene ontology to gene identification / Hugo P. Bastos . [and others] -- Phenotype mining for functional genomics and gene discovery / Philip Groth, Ulf Leser, and Bertram Weiss -- Conceptual thinking for in silico prioritization of candidate disease genes / Nicki Tiffin -- Web tools for the prioritization of candidate disease genes / Martin Oti, Sara Ballouz, and Merridee A. Wouters -- Comparative view of in silico DNA sequencing analysis tools / Sissades Tongsima [and others] -- Mutation surveyor : an in Silico tool for sequencing analysis / Chongmei Dong and Bing Yu -- In silico searching for disease -- associated functional DNA variants / Rao Sethumadhavan, C. George Priya Doss, and R. Rajasekaran -- In silico prediction of transcriptional factor-binding sites / Dmitry Y. Oshchepkov and Victor G. Levitsky -- In silico prediction of splice-affecting nucleotide variants / Claude Houdayer -- In silico tools for qPCR assay design and data analysis / Stephen Bustin, Anders Bergkvist, and Tania Nolan -- RNA structure prediction / Stephan H. Bernhart -- In silico prediction of post-translational modifications / Chunmei Liu and Hui Li -- In silico protein motif discovery and structural analysis / Catherine Mooney [and others].
Summary: 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 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.
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Includes bibliographical references and index.

Accessing and selecting genetic markers from available resources / Christopher G. Bell -- Linkage analysis / Jennifer H. Barrett and M. Dawn Teare -- Association mapping / Jodie N. Painter, Dale R. Nyholt, and Grant W. Montgomery -- ForeSee (4C) approach for integrative analysis in gene discovery / Yike Guo [and others] -- R statistical tools for gene discovery / Andrea S. Foulkes and Kinman Au -- In silico PCR analysis / Bing Yu and Changbin Zhang -- In silico analysis of the exome for gene discovery / Marcus Hinchcliffe and Paul Webster -- In silico knowledge and content tracking / Herman van Haagen and Barend Mons -- Application of gene ontology to gene identification / Hugo P. Bastos . [and others] -- Phenotype mining for functional genomics and gene discovery / Philip Groth, Ulf Leser, and Bertram Weiss -- Conceptual thinking for in silico prioritization of candidate disease genes / Nicki Tiffin -- Web tools for the prioritization of candidate disease genes / Martin Oti, Sara Ballouz, and Merridee A. Wouters -- Comparative view of in silico DNA sequencing analysis tools / Sissades Tongsima [and others] -- Mutation surveyor : an in Silico tool for sequencing analysis / Chongmei Dong and Bing Yu -- In silico searching for disease -- associated functional DNA variants / Rao Sethumadhavan, C. George Priya Doss, and R. Rajasekaran -- In silico prediction of transcriptional factor-binding sites / Dmitry Y. Oshchepkov and Victor G. Levitsky -- In silico prediction of splice-affecting nucleotide variants / Claude Houdayer -- In silico tools for qPCR assay design and data analysis / Stephen Bustin, Anders Bergkvist, and Tania Nolan -- RNA structure prediction / Stephan H. Bernhart -- In silico prediction of post-translational modifications / Chunmei Liu and Hui Li -- In silico protein motif discovery and structural analysis / Catherine Mooney [and others].

Print version record.

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 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.

English.

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