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Computational Biology Of Transcription Factor Binding 1st Edition Istvan Ladunga Auth

  • SKU: BELL-2628000
Computational Biology Of Transcription Factor Binding 1st Edition Istvan Ladunga Auth
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Computational Biology Of Transcription Factor Binding 1st Edition Istvan Ladunga Auth instant download after payment.

Publisher: Humana Press
File Extension: PDF
File size: 6.3 MB
Pages: 454
Author: Istvan Ladunga (auth.), Istvan Ladunga (eds.)
ISBN: 9781607618539, 9781607618546, 1607618532, 1607618540
Language: English
Year: 2010
Edition: 1

Product desciption

Computational Biology Of Transcription Factor Binding 1st Edition Istvan Ladunga Auth by Istvan Ladunga (auth.), Istvan Ladunga (eds.) 9781607618539, 9781607618546, 1607618532, 1607618540 instant download after payment.

Through great experimental difficulty, we’ve witnessed rapid, crucial developments at the intersection of computational biology, experimental technology, and statistics through which the vital process of transcriptional regulation can be further examined. In Computational Biology of Transcription Factor Binding, experts in the field examine the basic principles and provide detailed guidance for the computational analyses and biological interpretations of transcription factor binding, while disclosing critical practical information and caveats that are missing from many research publications. The volume serves not only computational biologists but experimentalists as well, who may want to better understand how to design and execute experiments and to communicate more effectively with computational biologists, computer scientists, and statisticians. Written for the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results in the lab. Authoritative and easy to use, Computational Biology of Transcription Factor Binding guides scientists working in this area and demands not only new experiments but also the re-annotation of existing experimental data and computational predictions leading to important ongoing, major paradigm changes for us all.

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