SCAN DB: an integrated catalogue of computationally characterised NER specific skin cancers
by Varsha Mehta; Tanya Singh; Ankush Bansal; Tiratha Raj Singh
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 16, No. 3, 2020

Abstract: SCAN DB, acronym for Skin cancer NER database, provides a unique, first of its kind repository for understanding the regulatory mechanism of the nucleotide excision repair (NER) pathway, disease dynamics, genetics, clinical information, expression, and evolutionary trajectories of the skin cancers. DNA damage has emerged as a major culprit in cancer and many age related diseases. DNA repair and genomic integrity management have become of prime importance in this cancerous era. One of the significant pathways to remove these bulky lesions is NER pathway, whose deficiencies of NER repair proteins are also associated with the skin cancer prone inherited disorder - Xeroderma pigmentosum and other neurodegenerative abnormalities like Cockayne Syndrome and Trichothiodystrophy. However, a well structured, integrated and comprehensive resource of NER pathway and related skin cancers is presently not available. Therefore, SCAN DB effectively bridges this gap in knowledge. The database can be accessed using the URL: http://bioinfoindia.org/SCANDB//index.php

Online publication date: Thu, 20-Aug-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com