Published August 8, 2008 | Version v1
Journal article

CID-miRNA: A web server for prediction of novel miRNA precursors in human genome

  • 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.2008.05.134

Additional 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.