KinView: a visual comparative sequence analysis tool for integrated kinome research-Reference-Cited by-同舟云学术

KinView: a visual comparative sequence analysis tool for integrated kinome research

Published:2016 Issue:12 Volume:12 Page:3651-3665
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

McSkimming Daniel Ian¹²³⁴,Dastgheib Shima⁵²³⁴,Baffi Timothy R.⁶⁷⁸⁴,Byrne Dominic P.⁹¹⁰¹¹¹²¹³,Ferries Samantha⁹¹⁰¹¹¹²¹³,Scott Steven Thomas¹⁴²³⁴,Newton Alexandra C.⁶⁷⁸⁴,Eyers Claire E.⁹¹⁰¹¹¹²¹³^ORCID,Kochut Krzysztof J.⁵²³⁴,Eyers Patrick A.⁹¹⁰¹¹¹²¹³,Kannan Natarajan¹²³⁴¹⁴

Affiliation:

1. Institute of Bioinformatics

2. University of Georgia

3. Athens

4. USA

5. Department of Computer Science

6. Department of Pharmacology

7. University of California at San Diego

8. La Jolla

9. Department of Biochemistry

10. Institute of Integrative Biology

11. University of Liverpool

12. Liverpool

13. UK

14. Department of Biochemistry & Molecular Biology

Abstract

KinView enables both experts and novices to perform comparative analyses of cancer variants in the context of natural sequence variation and post-translational modifications across evolutionary groups of kinases.

Funder

North West Cancer Research Fund

National Science Foundation

National Institutes of Health

Biotechnology and Biological Sciences Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2016/MB/C6MB00466K

Reference108 articles.