Literature DB >> 18035520

ArchaeaTF: an integrated database of putative transcription factors in Archaea.

Jinyu Wu1, Shengqin Wang, Jie Bai, Liang Shi, Dong Li, Zuyuan Xu, Yuxin Niu, Jianxin Lu, Qiyu Bao.   

Abstract

Identification of all the transcription factors (TFs) encoded in a given genome is a prerequisite for understanding transcriptional regulatory networks. Archaea are prokaryotes that constitute one of the three main branches of organisms with an astounding diversity of habitats. In this report, we establish the ArchaeaTF database to provide an integrated information resource about TFs in Archaea, such as basic characteristics, domain architectures, and sequence similarities against the linked databases. Through its Web interface, ArchaeaTF provides three different ways for users to retrieve the data: simple browse, keyword search, and BLAST search. Moreover, ArchaeaTF can serve as a useful platform for comparative genomics analysis of archaeal TFs since it implements a series of tools, including MUSCLE for multiple sequence alignments of the DNA-binding domains, QuickTree for phylogenetic tree construction, and OrthoMCL for ortholog identification. The released ArchaeaTF 1.0 contains 2135 putative TFs from 37 completed archaeal genomes. In conclusion, we believe that ArchaeaTF will be a useful resource and convenient platform for researchers working on TFs and transcriptional regulatory networks to retrieve information from TFs in Archaea rapidly. ArchaeaTF is accessible at http://bioinformatics.zj.cn/archaeatf.

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Year:  2007        PMID: 18035520     DOI: 10.1016/j.ygeno.2007.09.007

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  11 in total

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Journal:  Archaea       Date:  2010-11-30       Impact factor: 3.273

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6.  "Hot standards" for the thermoacidophilic archaeon Sulfolobus solfataricus.

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7.  P2TF: a comprehensive resource for analysis of prokaryotic transcription factors.

Authors:  Philippe Ortet; Gilles De Luca; David E Whitworth; Mohamed Barakat
Journal:  BMC Genomics       Date:  2012-11-15       Impact factor: 3.969

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Journal:  Comp Funct Genomics       Date:  2009-05-25

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Authors:  Jinyu Wu; Xiang Xu; Jian Xiao; Long Xu; Huiguang Yi; Shengjie Gao; Jing Liu; Qiyu Bao; Fangqing Zhao; Xiaokun Li
Journal:  BMC Bioinformatics       Date:  2009-04-25       Impact factor: 3.169

10.  A systems level predictive model for global gene regulation of methanogenesis in a hydrogenotrophic methanogen.

Authors:  Sung Ho Yoon; Serdar Turkarslan; David J Reiss; Min Pan; June A Burn; Kyle C Costa; Thomas J Lie; Joseph Slagel; Robert L Moritz; Murray Hackett; John A Leigh; Nitin S Baliga
Journal:  Genome Res       Date:  2013-10-02       Impact factor: 9.043

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