fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences.
fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences.
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DOI：
10.1093/nar/gkl837
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发表时间：
2007-01
影响因子：
14.9
通讯作者：
Asai K
中科院分区：
文献类型：
--
作者：
Kin T;Yamada K;Terai G;Okida H;Yoshinari Y;Ono Y;Kojima A;Kimura Y;Komori T;Asai K
没有特定蛋白质编码的成绩单丰富，并且在功能上仍然没有表征。这些成绩单中的一些可能具有新颖的功能，而另一些可能是垃圾记录本。不幸的是，此类转录本的实验验证以找到功能性非编码RNA候选物的成本非常高。因此，我们的主要兴趣是从一组未表征的转录本上计算候选候选功能转录本。我们介绍了FRNADB：一种新颖的数据库服务，该服务托管了大量非编码转录本，包括来自H-INV数据库，非代码和RNADB的带注释/未经通知的序列。在随附的序列上已经进行了一组计算分析。这些分析包括RNA二级结构图案发现，EST支持评估，顺式调节元素搜索，蛋白质同源性搜索等。FRNADB提供了一个有效的接口，可帮助用户根据自己的标准过滤特定的转录本以整理功能性RNA候选者。 Frnadb可在
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
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影响因子：
56.9
作者：
Cheng, J;Kapranov, P;Gingeras, TR
通讯作者：
Gingeras, TR
影响因子：
9.8
作者：
Imanishi T;Itoh T;Suzuki Y;O'Donovan C;Fukuchi S;Koyanagi KO;Barrero RA;Tamura T;Yamaguchi-Kabata Y;Tanino M;Yura K;Miyazaki S;Ikeo K;Homma K;Kasprzyk A;Nishikawa T;Hirakawa M;Thierry-Mieg J;Thierry-Mieg D;Ashurst J;Jia L;Nakao M;Thomas MA;Mulder N;Karavidopoulou Y;Jin L;Kim S;Yasuda T;Lenhard B;Eveno E;Suzuki Y;Yamasaki C;Takeda J;Gough C;Hilton P;Fujii Y;Sakai H;Tanaka S;Amid C;Bellgard M;Bonaldo Mde F;Bono H;Bromberg SK;Brookes AJ;Bruford E;Carninci P;Chelala C;Couillault C;de Souza SJ;Debily MA;Devignes MD;Dubchak I;Endo T;Estreicher A;Eyras E;Fukami-Kobayashi K;Gopinath GR;Graudens E;Hahn Y;Han M;Han ZG;Hanada K;Hanaoka H;Harada E;Hashimoto K;Hinz U;Hirai M;Hishiki T;Hopkinson I;Imbeaud S;Inoko H;Kanapin A;Kaneko Y;Kasukawa T;Kelso J;Kersey P;Kikuno R;Kimura K;Korn B;Kuryshev V;Makalowska I;Makino T;Mano S;Mariage-Samson R;Mashima J;Matsuda H;Mewes HW;Minoshima S;Nagai K;Nagasaki H;Nagata N;Nigam R;Ogasawara O;Ohara O;Ohtsubo M;Okada N;Okido T;Oota S;Ota M;Ota T;Otsuki T;Piatier-Tonneau D;Poustka A;Ren SX;Saitou N;Sakai K;Sakamoto S;Sakate R;Schupp I;Servant F;Sherry S;Shiba R;Shimizu N;Shimoyama M;Simpson AJ;Soares B;Steward C;Suwa M;Suzuki M;Takahashi A;Tamiya G;Tanaka H;Taylor T;Terwilliger JD;Unneberg P;Veeramachaneni V;Watanabe S;Wilming L;Yasuda N;Yoo HS;Stodolsky M;Makalowski W;Go M;Nakai K;Takagi T;Kanehisa M;Sakaki Y;Quackenbush J;Okazaki Y;Hayashizaki Y;Hide W;Chakraborty R;Nishikawa K;Sugawara H;Tateno Y;Chen Z;Oishi M;Tonellato P;Apweiler R;Okubo K;Wagner L;Wiemann S;Strausberg RL;Isogai T;Auffray C;Nomura N;Gojobori T;Sugano S
通讯作者：
Sugano S
miRNAMAP：哺乳动物基因组中microRNA基因及其靶基因的基因组图。
影响因子：
14.9
作者：
Hsu, Paul W. C.;Huang, Hsien-Da;Hsu, Sheng-Da;Lin, Li-Zen;Tsou, Ann-Ping;Tseng, Ching-Ping;Stadler, Peter F.;Washietl, Stefan;Hofacker, Ivo L.
通讯作者：
Hofacker, Ivo L.
影响因子：
14.9
作者：
Griffiths-Jones S;Grocock RJ;van Dongen S;Bateman A;Enright AJ
通讯作者：
Enright AJ
影响因子：
14.9
作者：
Pang, KC;Stephen, S;Mattick, JS
通讯作者：
Mattick, JS