Protein Function Prediction for Omics Era

  • Daisuke Kihara

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Meghana Chitale, Daisuke Kihara
    Pages 1-17
  3. Vikas Rao Pejaver, Heewook Lee, Sun Kim
    Pages 35-54
  4. Dennis R. Livesay, Dukka Bahadur KC, David La
    Pages 93-105
  5. Alison Cuff, Oliver Redfern, Benoit Dessailly, Christine Orengo
    Pages 107-123
  6. Rayan Chikhi, Lee Sael, Daisuke Kihara
    Pages 145-163
  7. Joslynn S. Lee, Mary Jo Ondrechen
    Pages 183-196
  8. Kengo Kinoshita, Takeshi Obayashi
    Pages 197-214
  9. Weidong Tian, Xinran Dong, Yuanpeng Zhou, Ren Ren
    Pages 215-242
  10. Hon Nian Chua, Guimei Liu, Limsoon Wong
    Pages 243-270
  11. Toshiaki Tokimatsu, Masaaki Kotera, Susumu Goto, Minoru Kanehisa
    Pages 271-288
  12. Yukako Tohsato, Natsuko Yamamoto, Toru Nakayashiki, Rikiya Takeuchi, Barry L. Wanner, Hirotada Mori
    Pages 289-305
  13. Back Matter
    Pages 307-310

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

Editors and affiliations

  • Daisuke Kihara
    • 1
  1. 1.Dept. Biological SciencePurdue UniversityWest LafayetteUSA

Bibliographic information