FlyTF: improved annotation and enhanced functionality of the Drosophila transcription factor database.
FlyTF: improved annotation and enhanced functionality of the Drosophila transcription factor database.
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DOI：
10.1093/nar/gkp910
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发表时间：
2010-01
影响因子：
14.9
通讯作者：
Adryan B
中科院分区：
文献类型：
--
作者：
Pfreundt U;James DP;Tweedie S;Wilson D;Teichmann SA;Adryan B
FlyTF（http://www.flytf.org）是一个关于果蝇（Drosophila melanogaster）中经计算预测和/或实验验证的位点特异性转录因子（TFs）的数据库。FlyTF初始版本中主要基于蛋白质DNA结合特性对转录因子进行的手动分类，在新版本中现已扩展到对DNA结合和调控特性更精细的注释。此外，来自文献的实验证据被分类为一个特定的词汇表，并与FlyBase合作，转化为基因本体论（GO）注释。虽然我们的GO注释未来会被纳入基因的官方GO注释中，从而也可通过FlyBase获取，但用于分类的全部证据，包括计算预测和来自文献的引用，都可通过FlyTF获取。FlyTF网站现在基于InterMine框架构建，该框架为实验和计算生物学家提供强大的搜索和筛选功能、列表管理工具以及获取与转录因子相关的基因组信息的途径。
FlyTF (http://www.flytf.org) is a database of computationally predicted and/or experimentally verified site-specific transcription factors (TFs) in the fruit fly Drosophila melanogaster. The manual classification of TFs in the initial version of FlyTF that concentrated primarily on the DNA-binding characteristics of the proteins has now been extended to a more fine-grained annotation of both DNA binding and regulatory properties in the new release. Furthermore, experimental evidence from the literature was classified into a defined vocabulary, and in collaboration with FlyBase, translated into Gene Ontology (GO) annotation. While our GO annotations will also be available through FlyBase as they will be incorporated into the genes’ official GO annotation in the future, the entire evidence used for classification including computational predictions and quotes from the literature can be accessed through FlyTF. The FlyTF website now builds upon the InterMine framework, which provides experimental and computational biologists with powerful search and filter functionality, list management tools and access to genomic information associated with the TFs.
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影响因子：
64.8
作者：
Clark, Andrew G.;Eisen, Michael B.;MacCallum, Iain
通讯作者：
MacCallum, Iain
影响因子：
5.8
作者：
Adryan, Boris;Teichmann, Sarah A.
通讯作者：
Teichmann, Sarah A.
影响因子：
3
作者：
Yang H;Nenadic G;Keane JA
通讯作者：
Keane JA
影响因子：
14.9
作者：
Tweedie S;Ashburner M;Falls K;Leyland P;McQuilton P;Marygold S;Millburn G;Osumi-Sutherland D;Schroeder A;Seal R;Zhang H;FlyBase Consortium
通讯作者：
FlyBase Consortium
DOI：
10.1073/pnas.0408031102
发表时间：
2005-04-05
影响因子：
11.1
作者：
Levine, M;Davidson, EH
通讯作者：
Davidson, EH