Journal
BIOINFORMATICS
Volume 33, Issue 16, Pages 2586-2588Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx223
Keywords
-
Categories
Funding
- State of South Dakota Research Innovation Center
- Agriculture Experiment Station of South Dakota State University
- National Science Foundation of United States [1546869]
- National Science Foundation [ACI-1548562]
- Division Of Integrative Organismal Systems
- Direct For Biological Sciences [1546869] Funding Source: National Science Foundation
- Office Of The Director
- Office of Integrative Activities [1355423] Funding Source: National Science Foundation
Ask authors/readers for more resources
Motivation: Motif identification and analyses are important and have been long-standing computational problems in bioinformatics. Substantial efforts have been made in this field during the past several decades. However, the lack of intuitive and integrative web servers impedes the progress of making effective use of emerging algorithms and tools. Results: Here we present an integrated web server, DMINDA 2.0, which contains: (i) five motif prediction and analyses algorithms, including a phylogenetic footprinting framework; (ii) 2125 species with complete genomes to support the above five functions, covering animals, plants and bacteria and (iii) bacterial regulon prediction and visualization. Availability and Implementation: DMINDA 2.0 is freely available at http://bmbl.sdstate.edu/DMINDA2.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available