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

被引:107
作者
Kin, Taishin
Yamada, Kouichirou
Terai, Goro
Okida, Hiroaki
Yoshinari, Yasuhiko
Ono, Yukiteru
Kojima, Aya
Kimura, Yuki
Komori, Takashi
Asai, Kiyoshi
机构
[1] AIST, Computat Biol Res Ctr, Koto Ku, Tokyo 1350064, Japan
[2] Intec Web & Genome Informat, Koto Ku, Tokyo 1360075, Japan
[3] Informat & Math Sci Lab, Tokyo 1120012, Japan
[4] Mitsubishi Res Inst, Tokyo 1008140, Japan
[5] Univ Tokyo, Grad Sch Frontier Sci, Dept Computat Biol, Chiba 2778583, Japan
关键词
D O I
10.1093/nar/gkl837
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:D145 / D148
页数:4
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