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fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences
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...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669753/ https://www.ncbi.nlm.nih.gov/pubmed/17099231 http://dx.doi.org/10.1093/nar/gkl837 |
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author | Kin, Taishin Yamada, Kouichirou Terai, Goro Okida, Hiroaki Yoshinari, Yasuhiko Ono, Yukiteru Kojima, Aya Kimura, Yuki Komori, Takashi Asai, Kiyoshi |
author_facet | Kin, Taishin Yamada, Kouichirou Terai, Goro Okida, Hiroaki Yoshinari, Yasuhiko Ono, Yukiteru Kojima, Aya Kimura, Yuki Komori, Takashi Asai, Kiyoshi |
author_sort | Kin, Taishin |
collection | PubMed |
description | 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 |
format | Text |
id | pubmed-1669753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-16697532007-02-22 fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences Kin, Taishin Yamada, Kouichirou Terai, Goro Okida, Hiroaki Yoshinari, Yasuhiko Ono, Yukiteru Kojima, Aya Kimura, Yuki Komori, Takashi Asai, Kiyoshi Nucleic Acids Res Articles 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 Oxford University Press 2007-01 2006-11-11 /pmc/articles/PMC1669753/ /pubmed/17099231 http://dx.doi.org/10.1093/nar/gkl837 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Kin, Taishin Yamada, Kouichirou Terai, Goro Okida, Hiroaki Yoshinari, Yasuhiko Ono, Yukiteru Kojima, Aya Kimura, Yuki Komori, Takashi Asai, Kiyoshi fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences |
title | fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences |
title_full | fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences |
title_fullStr | fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences |
title_full_unstemmed | fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences |
title_short | fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences |
title_sort | frnadb: a platform for mining/annotating functional rna candidates from non-coding rna sequences |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669753/ https://www.ncbi.nlm.nih.gov/pubmed/17099231 http://dx.doi.org/10.1093/nar/gkl837 |
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