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Nucleic Acids Res. 2007 Jan;35(Database issue):D145-8. Epub 2006 Nov 11.

fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences.

Author information

1
Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology (AIST) Aomi 2-42, Koto-ku, Tokyo 135-0064, Japan. kin-taushin@aist.go.jp

Abstract

There are abundance of transcripts that code for no particular protein and that remain functionally uncharacterized. Some of these transcripts may have novel functions while others might be junk transcripts. Unfortunately, the experimental validation of such transcripts to find functional non-coding RNA candidates is very costly. Therefore, our primary interest is to computationally mine candidate functional transcripts from a pool of uncharacterized transcripts. We introduce fRNAdb: a novel database service that hosts a large collection of non-coding transcripts including annotated/non-annotated sequences from the H-inv database, NONCODE and RNAdb. A set of computational analyses have been performed on the included sequences. These analyses include RNA secondary structure motif discovery, EST support evaluation, cis-regulatory element search, protein homology search, etc. fRNAdb provides an efficient interface to help users filter out particular transcripts under their own criteria to sort out functional RNA candidates. fRNAdb is available at http://www.ncrna.org/.

PMID:
17099231
PMCID:
PMC1669753
DOI:
10.1093/nar/gkl837
[Indexed for MEDLINE]
Free PMC Article

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