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Yeast Genetic Networks Methods And Protocols 1st Edition Julia Marnnavarro

  • SKU: BELL-2149786
Yeast Genetic Networks Methods And Protocols 1st Edition Julia Marnnavarro
$ 31.00 $ 45.00 (-31%)

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Yeast Genetic Networks Methods And Protocols 1st Edition Julia Marnnavarro instant download after payment.

Publisher: Humana Press
File Extension: PDF
File size: 2.96 MB
Pages: 344
Author: Julia Marín-Navarro, Alexandra Jauhiainen, Joaquín Moreno, Paula Alepuz (auth.), Attila Becskei (eds.)
ISBN: 9781617790850, 1617790850
Language: English
Year: 2011
Edition: 1

Product desciption

Yeast Genetic Networks Methods And Protocols 1st Edition Julia Marnnavarro by Julia Marín-navarro, Alexandra Jauhiainen, Joaquín Moreno, Paula Alepuz (auth.), Attila Becskei (eds.) 9781617790850, 1617790850 instant download after payment.

Regulation of geneexpression, a major determinant of gene activity, occupies a central place in molecular biology. Yeast Genetic Networks: Methods and Protocols covers approaches to the systems biological analysis of small-scale gene networks in yeast. Divided into four convenient sections, this detailed volume discusses the methods used to analyze gene expression quantitatively, presents a collection of mathematical and computational tools to analyze stochasticity, adaptation, sensitivity in signal transmission, and oscillations in gene expression, provides instructional methods on how to utilize the tools of quantitative genetics to identify genes that regulate stochasticity and oscillations in gene expression, and concludes with a section devoted to the analysis of conserved gene expression systems and networks in different fungal species. 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, Yeast Genetic Networks: Methods and Protocols serves as an ideal and valuable resource for both novices and experienced researchers.

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