FIDEA: a server for the functional interpretation of differential expression analysis.
FIDEA: a server for the functional interpretation of differential expression analysis.
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DOI：
10.1093/nar/gkt516
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发表时间：
2013-07
影响因子：
14.9
通讯作者：
Tramontano A
中科院分区：
文献类型：
--
作者：
D'Andrea D;Grassi L;Mazzapioda M;Tramontano A
差异表达分析的结果为科学家提供了数百到数千个差异表达的基因，这些基因需要根据所研究的特定系统的生物学进行解释。这需要将基因映射到功能分类，所述功能分类可以是例如它们所属的KEGG途径或InterPro家族、它们的GO分子功能、生物过程或细胞组分。差异表达基因组中一个或多个类别术语的统计学显著性过度表达是解释结果的生物学意义的重要步骤。理想情况下，分析应该由熟悉生物学问题的科学家进行，因为他们拥有丰富的系统知识，并且比生物信息学家更容易发现不太明显的关系，因此也更有趣。为了让实验者在一个单一的工具中以一种简单而又详尽的方式探索他们的数据，并快速而毫不费力地验证他们的假设，我们开发了FIDEA。FIDEA服务器位于http：//www.biocomputing.it/fidea;它免费向所有用户开放，不需要登录。
The results of differential expression analyses provide scientists with hundreds to thousands of differentially expressed genes that need to be interpreted in light of the biology of the specific system under study. This requires mapping the genes to functional classifications that can be, for example, the KEGG pathways or InterPro families they belong to, their GO Molecular Function, Biological Process or Cellular Component. A statistically significant overrepresentation of one or more category terms in the set of differentially expressed genes is an essential step for the interpretation of the biological significance of the results. Ideally, the analysis should be performed by scientists who are well acquainted with the biological problem, as they have a wealth of knowledge about the system and can, more easily than a bioinformatician, discover less obvious and, therefore, more interesting relationships. To allow experimentalists to explore their data in an easy and at the same time exhaustive fashion within a single tool and to test their hypothesis quickly and effortlessly, we developed FIDEA. The FIDEA server is located at http://www.biocomputing.it/fidea; it is free and open to all users, and there is no login requirement.
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影响因子：
14.9
作者：
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
通讯作者：
Tanabe M
影响因子：
14.9
作者：
Hunter S;Jones P;Mitchell A;Apweiler R;Attwood TK;Bateman A;Bernard T;Binns D;Bork P;Burge S;de Castro E;Coggill P;Corbett M;Das U;Daugherty L;Duquenne L;Finn RD;Fraser M;Gough J;Haft D;Hulo N;Kahn D;Kelly E;Letunic I;Lonsdale D;Lopez R;Madera M;Maslen J;McAnulla C;McDowall J;McMenamin C;Mi H;Mutowo-Muellenet P;Mulder N;Natale D;Orengo C;Pesseat S;Punta M;Quinn AF;Rivoire C;Sangrador-Vegas A;Selengut JD;Sigrist CJ;Scheremetjew M;Tate J;Thimmajanarthanan M;Thomas PD;Wu CH;Yeats C;Yong SY
通讯作者：
Yong SY
基因本体论：2011年的增强。
影响因子：
14.9
作者：
Gene Ontology Consortium
通讯作者：
Gene Ontology Consortium
G：Profiler- - 用于基因列表功能解释的Web服务器（2011年更新）。
影响因子：
14.9
作者：
Reimand J;Arak T;Vilo J
通讯作者：
Vilo J
影响因子：
14.9
作者：
Flicek P;Ahmed I;Amode MR;Barrell D;Beal K;Brent S;Carvalho-Silva D;Clapham P;Coates G;Fairley S;Fitzgerald S;Gil L;García-Girón C;Gordon L;Hourlier T;Hunt S;Juettemann T;Kähäri AK;Keenan S;Komorowska M;Kulesha E;Longden I;Maurel T;McLaren WM;Muffato M;Nag R;Overduin B;Pignatelli M;Pritchard B;Pritchard E;Riat HS;Ritchie GR;Ruffier M;Schuster M;Sheppard D;Sobral D;Taylor K;Thormann A;Trevanion S;White S;Wilder SP;Aken BL;Birney E;Cunningham F;Dunham I;Harrow J;Herrero J;Hubbard TJ;Johnson N;Kinsella R;Parker A;Spudich G;Yates A;Zadissa A;Searle SM
通讯作者：
Searle SM