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(Ebook) Gene Regulatory Networks: Methods and Protocols by Juan M. Vaquerizas, Sarah A. Teichmann, Nicholas M. Luscombe (auth.), Bart Deplancke, Nele Gheldof (eds.) ISBN 9781617792915, 9781617792922, 1617792918, 1617792926

  • SKU: EBN-2453888
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Authors:Juan M. Vaquerizas, Sarah A. Teichmann, Nicholas M. Luscombe (auth.), Bart Deplancke, Nele Gheldof (eds.)
Pages:446 pages.
Year:2012
Editon:1
Publisher:Humana Press
Language:english
File Size:10.76 MB
Format:pdf
ISBNS:9781617792915, 9781617792922, 1617792918, 1617792926
Categories: Ebooks

Product desciption

(Ebook) Gene Regulatory Networks: Methods and Protocols by Juan M. Vaquerizas, Sarah A. Teichmann, Nicholas M. Luscombe (auth.), Bart Deplancke, Nele Gheldof (eds.) ISBN 9781617792915, 9781617792922, 1617792918, 1617792926

Gene regulatory networks play a vital role in organismal development and function by controlling gene expression. With the availability of complete genome sequences, several novel experimental and computational approaches have recently been developed which promise to significantly enhance our ability to comprehensively characterize these regulatory networks by enabling the identification of respectively their genomic or regulatory state components, or the interactions between these two in unprecedented detail. Divided into five convenient sections, Gene Regulatory Networks: Methods and Protocols details how each of these approaches contributes to a more thorough understanding of the composition and function of gene regulatory networks, while providing a comprehensive protocol on how to implement them in the laboratory. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls.

Authoritative and accessible, Gene Regulatory Networks: Methods and Protocols aims to provide novices and experienced researchers alike with a comprehensive and timely toolkit to study gene regulatory networks from the point of data generation to processing, visualization, and modeling.

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