Overview
- The first book which focus on describing state-of-the-art function prediction methods
- Probably the first book which points out that the role of function prediction has been changing for analyzing omics type large scale data, rather than function of a small set of individual genes of interest
- Observes emerging development of computational gene function prediction methods
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Table of contents (15 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Protein Function Prediction for Omics Era
Editors: Daisuke Kihara
DOI: https://doi.org/10.1007/978-94-007-0881-5
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2011
Hardcover ISBN: 978-94-007-0880-8Published: 20 April 2011
Softcover ISBN: 978-94-007-9964-6Published: 16 October 2014
eBook ISBN: 978-94-007-0881-5Published: 19 April 2011
Edition Number: 1
Number of Pages: XIII, 310
Topics: Biomedicine general, Biochemistry, general, Proteomics, Bioinformatics, Biotechnology