共 23 条
CollecTF: a database of experimentally validated transcription factor-binding sites in Bacteria
被引:67
作者:

Kilic, Sefa
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机构:
Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA

White, Elliot R.
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Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA

Sagitova, Dinara M.
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Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA

Cornish, Joseph P.
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机构:
Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA

论文数: 引用数:
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机构:
[1] Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21250 USA
基金:
美国国家科学基金会;
关键词:
ESCHERICHIA-COLI;
DNA-BINDING;
SEQUENCES;
FEATURES;
CONSERVATION;
RESOURCE;
TOOL;
D O I:
10.1093/nar/gkt1123
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:
The influx of high-throughput data and the need for complex models to describe the interaction of prokaryotic transcription factors (TF) with their target sites pose new challenges for TF-binding site databases. CollecTF (http://collectf.umbc.edu) compiles data on experimentally validated, naturally occurring TF-binding sites across the Bacteria domain, placing a strong emphasis on the transparency of the curation process, the quality and availability of the stored data and fully customizable access to its records. CollecTF integrates multiple sources of data automatically and openly, allowing users to dynamically redefine binding motifs and their experimental support base. Data quality and currency are fostered in CollecTF by adopting a sustainable model that encourages direct author submissions in combination with in-house validation and curation of published literature. CollecTF entries are periodically submitted to NCBI for integration into RefSeq complete genome records as link-out features, maximizing the visibility of the data and enriching the annotation of RefSeq files with regulatory information. Seeking to facilitate comparative genomics and machine-learning analyses of regulatory interactions, in its initial release CollecTF provides domain-wide coverage of two TF families (LexA and Fur), as well as extensive representation for a clinically important bacterial family, the Vibrionaceae.
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页码:D156 / D160
页数:5
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