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Protein Function Prediction for Omics Era

Editors: Kihara, Daisuke (Ed.)

  • Details state-of-the-art function prediction methods
  • 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
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eBook $219.00
price for USA (gross)
  • ISBN 978-94-007-0881-5
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Hardcover $279.00
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  • ISBN 978-94-007-0880-8
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  • Usually dispatched within 3 to 5 business days.
Softcover $279.00
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  • ISBN 978-94-007-9964-6
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About this book

Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred

Table of contents (15 chapters)

  • Computational Protein Function Prediction: Framework and Challenges

    Chitale, Meghana (et al.)

    Pages 1-17

  • Enhanced Sequence-Based Function Prediction Methods and Application to Functional Similarity Networks

    Chitale, Meghana (et al.)

    Pages 19-34

  • Gene Cluster Prediction and Its Application to Genome Annotation

    Pejaver, Vikas Rao (et al.)

    Pages 35-54

  • Functional Inference in Microbial Genomics Based on Large-Scale Comparative Analysis

    Uchiyama, Ikuo

    Pages 55-92

  • Predicting Protein Functional Sites with Phylogenetic Motifs: Past, Present and Beyond

    Livesay, Dennis R. (et al.)

    Pages 93-105

Buy this book

eBook $219.00
price for USA (gross)
  • ISBN 978-94-007-0881-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.00
price for USA
  • ISBN 978-94-007-0880-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.00
price for USA
  • ISBN 978-94-007-9964-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Protein Function Prediction for Omics Era
Editors
  • Daisuke Kihara
Copyright
2011
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-94-007-0881-5
DOI
10.1007/978-94-007-0881-5
Hardcover ISBN
978-94-007-0880-8
Softcover ISBN
978-94-007-9964-6
Edition Number
1
Number of Pages
XIII, 310
Topics