Open access peer-reviewed chapter

Bioinformatics Approaches for Predicting Kinase–Substrate Relationships

By Daniel A. Bórquez and Christian González-Billault

Submitted: October 22nd 2015Reviewed: April 18th 2016Published: July 27th 2016

DOI: 10.5772/63761

Downloaded: 827

© 2016 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Daniel A. Bórquez and Christian González-Billault (July 27th 2016). Bioinformatics Approaches for Predicting Kinase–Substrate Relationships, Bioinformatics Ibrokhim Y. Abdurakhmonov, IntechOpen, DOI: 10.5772/63761. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/bioinformatics-updated-features-and-applications/bioinformatics-approaches-for-predicting-kinase-substrate-relationships" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

827total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Bioinformatics for RNA‐Seq Data Analysis

By Shanrong Zhao, Baohong Zhang, Ying Zhang, William Gordon, Sarah Du, Theresa Paradis, Michael Vincent and David von Schack

Related Book

First chapter

Virtual Plant Breeding

By Sven B. Andersen

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us