CID-miRNA: A web server for prediction of novel miRNA precursors in human genome
Creators
- 1. Centre for Computational Biology and Bioinformatics, School of Information Technology, Jawaharlal Nehru University, New Mehrauli Road, New Delhi 110067 (India)
- 2. Department of Computer Sciences, Netaji Subhash Institute of Technology, New Delhi (India)
- 3. Department of Computer Sciences, Indian Institute of Technology, New Delhi (India)
- 4. IBM Research Lab, Indian Institute of Technology, New Delhi (India)
- 5. School of Life Sciences, Jawaharlal Nehru University, New Delhi (India)
Description
microRNAs (miRNA) are a class of non-protein coding functional RNAs that are thought to regulate expression of target genes by direct interaction with mRNAs. miRNAs have been identified through both experimental and computational methods in a variety of eukaryotic organisms. Though these approaches have been partially successful, there is a need to develop more tools for detection of these RNAs as they are also thought to be present in abundance in many genomes. In this report we describe a tool and a web server, named CID-miRNA, for identification of miRNA precursors in a given DNA sequence, utilising secondary structure-based filtering systems and an algorithm based on stochastic context free grammar trained on human miRNAs. CID-miRNA analyses a given sequence using a web interface, for presence of putative miRNA precursors and the generated output lists all the potential regions that can form miRNA-like structures. It can also scan large genomic sequences for the presence of potential miRNA precursors in its stand-alone form. The web server can be accessed at (http://mirna.jnu.ac.in/cidmirna/)
Availability note (English)
Available from http://dx.doi.org/10.1016/j.bbrc.2008.05.134Additional details
Identifiers
- DOI
- 10.1016/j.bbrc.2008.05.134;
- PII
- S0006-291X(08)01055-3;
Publishing Information
- Journal Title
- Biochemical and Biophysical Research Communications
- Journal Volume
- 372
- Journal Issue
- 4
- Journal Page Range
- p. 831-834
- ISSN
- 0006-291X
- CODEN
- BBRCA9
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 40023720
- Subject category
- S60: APPLIED LIFE SCIENCES;
- Descriptors DEI
- ALGORITHMS; DNA SEQUENCING; FORECASTING; PROTEINS; RNA; STOCHASTIC PROCESSES
- Descriptors DEC
- MATHEMATICAL LOGIC; NUCLEIC ACIDS; ORGANIC COMPOUNDS; STRUCTURAL CHEMICAL ANALYSIS
Optional Information
- Copyright
- Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.