This item is in: Biomedicine > Bioinformatics, computing and life sciences
Annotating new genes: From in silico screening to experimental validationS Uchida, Max-Planck-Institute, Germany
Woodhead Publishing Series in Biomedicine No. 15
- 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
- includes a case-study of C-It for use in in silico screening
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.
ISBN 1 907568 68 9
ISBN-13: 978 1 907568 68 8
August 2012
196 pages 234 x 156mm hardback
£99.00 / US$170.00 / €120.00

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About the author
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.
Titles which may also be of interest:
Gene therapy
Computational methods for finding inferential bases in molecular genetics
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Contents
Introduction
Databases and software to make your research life easier
- Introduction
- Primary databases
- Secondary databases
- Datasets to keep an eye out for
- Conclusion
How to program like a bioinformatician?
- Introduction
- Setting up an environment
- Writing Perl scripts
- Conclusion
Case study: C-It, knowledge database for screening evolutionarily conserved, tissue-enriched, uncharacterized genes
- Introduction
- Concept of in silico screening
- Case study: C-It
- Conclusion
Experimental validation: concepts and practice
- Introduction
- Proposed experimental strategy
- Step 1: validation of expression patterns
- Step 2: phenotypic analysis
- Step 3: molecular interactions
- Other experiments
- Conclusion
Further application: adult stem cells and tissue regenerations
- Introduction
- Cell types in heart and their lineages
- Current status of cardiac stem cells
- Conclusion
Conclusion
