期刊文献+

TrFAST: A Tool to Predict Signaling Pathway-specific Transcription Factor Binding Sites

TrFAST: A Tool to Predict Signaling Pathway-specific Transcription Factor Binding Sites
原文传递
导出
摘要 Recent advances in the development of high-throughput tools have significantly revolutionized our understanding of molecular mech- anisms underlying normal and dysfunctional biological processes. Here we present a novel computational tool, transcription factor search and analysis tool (TrFAST), which was developed for the in silico analysis of transcription factor binding sites (TFBSs) of sig- naling pathway-specific TFs. TrFAST facilitates searching as well as comparative analysis of regulatory motifs through an exact pattern matching algorithm followed by the graphical representation of matched binding sites in multiple sequences up to 50 kb in length. TrFAST is proficient in reducing the number of comparisons by the exact pattern matching strategy. In contrast to the pre-existing tools that find TFBS in a single sequence, TrFAST seeks out the desired pattern in multiple sequences simultaneously. It counts the GC con- tent within the given multiple sequence data set and assembles the combinational details of consensus sequence(s) located at these regions, thereby generating a visual display based on the abundance of unique pattern. Comparative regulatory region analysis of multi- ple orthologous sequences simultaneously enhances the features of TrFAST and provides a significant insight into study of conservation of non-coding cis-regulatory elements. TrFAST is freely available at http://www.fi-pk.com/trfast.html. Recent advances in the development of high-throughput tools have significantly revolutionized our understanding of molecular mech- anisms underlying normal and dysfunctional biological processes. Here we present a novel computational tool, transcription factor search and analysis tool (TrFAST), which was developed for the in silico analysis of transcription factor binding sites (TFBSs) of sig- naling pathway-specific TFs. TrFAST facilitates searching as well as comparative analysis of regulatory motifs through an exact pattern matching algorithm followed by the graphical representation of matched binding sites in multiple sequences up to 50 kb in length. TrFAST is proficient in reducing the number of comparisons by the exact pattern matching strategy. In contrast to the pre-existing tools that find TFBS in a single sequence, TrFAST seeks out the desired pattern in multiple sequences simultaneously. It counts the GC con- tent within the given multiple sequence data set and assembles the combinational details of consensus sequence(s) located at these regions, thereby generating a visual display based on the abundance of unique pattern. Comparative regulatory region analysis of multi- ple orthologous sequences simultaneously enhances the features of TrFAST and provides a significant insight into study of conservation of non-coding cis-regulatory elements. TrFAST is freely available at http://www.fi-pk.com/trfast.html.
出处 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2012年第6期354-359,共6页 基因组蛋白质组与生物信息学报(英文版)
基金 supported by Higher Education Commission, Pakistan(Grant No.20-1493/R&D/09)
关键词 TrFAST Transcription factor binding sites in silico analysis Signaling pathway Pattern searching TrFAST Transcription factor binding sites in silico analysis Signaling pathway Pattern searching
  • 相关文献

参考文献15

  • 1Elgar G, Vavouri T. Tuning in to the signals: noncoding sequence conservation in vertebrate genomes. Trends Genet 2008;24:344-52.
  • 2Brasier AR. The NF-kappaB regulatory network 2006;6:111-30.
  • 3Carroll SB, Prud'homme B, Gompel N. Regulating evolution. Sci Am 2008;298:60-7.
  • 4Narsai R, Howell KA, Millar AH, O'Toole N, Small I, Whelan J. Genome-wide analysis of mRNA decay rates and their determinants in Arabidopsis thaliana. Plant Cell 2007;19:3418-36.
  • 5Seger R, Krebs EG. The MAPK signaling cascade. FASEB J 1995;9:726-35.
  • 6Murray PJ. The JAK-STAT signaling pathway: input and output integration. J Immunol 2007;178:2623-9.
  • 7Bulyk ML, McGuire AM, Masuda N, Church GM. A motif co- occurrence approach for genome-wide prediction of transcription- factor-binding sites in Escherichia coli. Genome Res 2004; 14:201-8.
  • 8Amiel J, Rio M, de Pontual L, Redon R, Malan V, Boddaert N, et al. Mutations in TCF4, encoding a class I basic helix-loop-helix transcription factor, are responsible for Pitt-Hopkins syndrome, a severe epileptic encephalopathy associated with autonomic dysfunc- tion. Am J Hum Genet 2007;80:988-93.
  • 9Huang Z, Hurley PJ, Simons BW, Marchionni L, Berman DM, Ross AE, et al. Sox9 is required for prostate development and prostate cancer initiation. Oncotarget 2012;3:651-63.
  • 10Polak P, Domany E. Alu elements contain many binding sites for transcription factors and may play a role in regulation of develop- mental processes. BMC Genomics 2006;7:133.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部