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Titlebook: In Silico Tools for Gene Discovery; Bing Yu,Marcus Hinchcliffe Book 2011 Springer Science+Business Media, LLC 2011 DNA variants.Functional

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書目名稱In Silico Tools for Gene Discovery
編輯Bing Yu,Marcus Hinchcliffe
視頻videohttp://file.papertrans.cn/463/462976/462976.mp4
概述Provides brief introductions and clear instructions for the applications of each particular in silico tool.Features a wide variety of tools with easy to follow methodologies.Includes key tips and vita
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: In Silico Tools for Gene Discovery;  Bing Yu,Marcus Hinchcliffe Book 2011 Springer Science+Business Media, LLC 2011 DNA variants.Functional
描述.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 kno
出版日期Book 2011
關鍵詞DNA variants; Functional gene characterization; Functional genomics; Locus mapping; Quantitative PCR; Und
版次1
doihttps://doi.org/10.1007/978-1-61779-176-5
isbn_softcover978-1-4939-6188-7
isbn_ebook978-1-61779-176-5Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC 2011
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In Silico Prediction of Transcriptional Factor-Binding Sites,computational approaches and corresponding in silico tools for TFBS recognition are available, each having their own advantages and shortcomings. This chapter provides a brief tutorial to assist end users in the application of these tools for functional characterization of genes.
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Bing Yu,Marcus HinchcliffeProvides brief introductions and clear instructions for the applications of each particular in silico tool.Features a wide variety of tools with easy to follow methodologies.Includes key tips and vita
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1064-3745 with easy to follow methodologies.Includes key tips and vita.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 parti
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Linkage Analysis, trait. Application of these methods to simulated but realistic datasets is illustrated in some detail using the program Merlin. We provide some guidance on the best methods to use in different situations and on the interpretation of output.
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