Proteome Bioinformatics

  • Shivakumar Keerthikumar
  • Suresh Mathivanan

Part of the Methods in Molecular Biology book series (MIMB, volume 1549)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Shivakumar Keerthikumar
    Pages 1-3
  3. Shivakumar Keerthikumar, Suresh Mathivanan
    Pages 5-15
  4. Dhirendra Kumar, Amit Kumar Yadav, Debasis Dash
    Pages 17-29
  5. Sushma Anand, Monisha Samuel, Ching-Seng Ang, Shivakumar Keerthikumar, Suresh Mathivanan
    Pages 31-43
  6. Mehdi Mirzaei, Dana Pascovici, Jemma X. Wu, Joel Chick, Yunqi Wu, Brett Cooke et al.
    Pages 45-66
  7. Mohashin Pathan, Monisha Samuel, Shivakumar Keerthikumar, Suresh Mathivanan
    Pages 67-74
  8. Şule Yilmaz, Elien Vandermarliere, Lennart Martens
    Pages 75-100
  9. Shivakumar Keerthikumar, Suresh Mathivanan
    Pages 101-107
  10. Hien D. Nguyen, Geoffrey J. McLachlan, Michelle M. Hill
    Pages 109-117
  11. Mohammad Tawhidul Islam, Abidali Mohamedali, Criselda Santan Fernandes, Mark S. Baker, Shoba Ranganathan
    Pages 119-134
  12. Shiyong Ma, Kevin M. Downard, Jason W. H. Wong
    Pages 135-146
  13. Krishna Patel, Manika Singh, Harsha Gowda
    Pages 147-161
  14. Mohammad Tawhidul Islam, Abidali Mohamedali, Seong Beom Ahn, Ishmam Nawar, Mark S. Baker, Shoba Ranganathan
    Pages 163-176
  15. David Chisanga, Shivakumar Keerthikumar, Suresh Mathivanan, Naveen Chilamkurti
    Pages 177-197
  16. Jason J. Paxman, Begoña Heras
    Pages 209-220
  17. Swathik Clarancia Peter, Jayakanthan Mannu, Premendu P. Mathur
    Pages 221-229
  18. Back Matter
    Pages 231-233

About this book

Introduction

This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. The most recent proteomic resources widely used in the biomedical scientific community for storage and dissemination of data are discussed. In addition, specific MS/MS spectrum similarity scoring functions and their application in the field of proteomics, statistical evaluation of labeled comparative proteomics using permutation testing, and methods of phylogenetic analysis using MS data are also described in detail. Written for the highly successful Methods in Molecular Biology series, chapters contain the kind of detail and key implementation advice to ensure successful results. 

Authoritative and cutting-edge, Proteome Bioinformatics serves as a useful resource for researchers who are beginners as well as advanced investigators in the field of proteomics.

Keywords

Mass spectrometry instrumentation MS-based proteomics Databases Computational approaches Tandem MS techniques Statistical evaluation Phylogenetic analysis

Editors and affiliations

  • Shivakumar Keerthikumar
    • 1
  • Suresh Mathivanan
    • 2
  1. 1.Department of Biochemistry and Genetics, La Trobe Institute for Molecular ScienceLa Trobe UniversityMelbourneAustralia
  2. 2.Department of Biochemistry and Genetics, La Trobe Institute for Molecular ScienceLa Trobe UniversityMelbourneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-6740-7
  • Copyright Information Springer Science+Business Media LLC 2017
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-6738-4
  • Online ISBN 978-1-4939-6740-7
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book