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Annotating New Genes: From in Silico Screening to Experimental Validation

Annotating New Genes: From in Silico Screening to Experimental Validation (Hardback)

£99.00
To Order. Estimated despatch in 1-3 weeks.
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Synopsis

In recent years, a number of academic and commercial software packages and databases have been developed for the analysis and screening of biological data; however, the usability of these data is compromised by so-called novel genes to which no biological function is assigned. Annotating new genes outlines an approach to the analysis of evolutionary-conserved, heart-enriched genes with unknown functions, offering a step-by-step description of the procedure from screening to validation. The book begins by offering an introduction to the databases and software available, before moving on to cover programming guidelines, including a specific case study on the use of C-It for in silico screening. The second half of the book offers a step-by-step guide to experimental validation concepts and procedures, as well as an overview of additional potential applications of this approach in the field of stem cells and tissue regeneration, before a concluding chapter summarises the concepts and theories presented.

Medical & VeterinaryNursing & ancillary servicesBiomedical engineeringScience & MathematicsBiology, life sciencesBiochemistryScience & MathematicsBiology, life sciencesDevelopmental biologyScience & MathematicsBiology, life sciencesLife sciences: general issuesGenetics non-medicalScience & MathematicsBiology, life sciencesMolecular biology Publisher: Elsevier Science & Technology Publication Date: 01/05/2012 ISBN-13: 9781907568688  Details: Type: Hardback Format: Books
Availability: To Order. Estimated despatch in 1-3 weeks.  

Shizuka Uchida is a group leader in the Max-Planck Institute for Heart and Lung Research in Bad Nauheim, Germany. He is a trained bioinformatician and a developmental biologist with a specific focus on adult stem cell research, and has extensive experience in combining the power of computers and data mining methods with state-of-the-art experimental techniques.

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