Uchida | Annotating New Genes | E-Book | sack.de
E-Book

E-Book, Englisch, 196 Seiten

Reihe: Woodhead Publishing Series in Biomedicine

Uchida Annotating New Genes

From in Silico Screening to Experimental Validation
1. Auflage 2012
ISBN: 978-1-908818-12-6
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

From in Silico Screening to Experimental Validation

E-Book, Englisch, 196 Seiten

Reihe: Woodhead Publishing Series in Biomedicine

ISBN: 978-1-908818-12-6
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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. - Focuses not only on screening but also on biological validations - Provides details of databases and software (web interface) products for biologists with minimal computation skills - Offers a step-by-step outline of the procedure involved

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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