SeqVISTA: a new module of integrated computational tools for studying transcriptional regulation.
Transcriptional regulation is one of the most basic regulatory mechanisms in the cell. The accumulation of multiple metazoan genome sequences and the advent of high-throughput experimental techniques have motivated the development of a large number of bioinformatics methods for the detection of regulatory motifs. The regulatory process is extremely complex and individual computational algorithms typically have very limited success in genome-scale studies. Here, we argue the importance of integrating multiple computational algorithms and present an infrastructure that integrates eight web services covering key areas of transcriptional regulation. We have adopted the client-side integration technology and built a consistent input and output environment with a versatile visualization tool named SeqVISTA. The infrastructure will allow for easy integration of gene regulation analysis software that is scattered over the Internet. It will also enable bench biologists to perform an arsenal of analysis using cutting-edge methods in a familiar environment and bioinformatics researchers to focus on developing new algorithms without the need to invest substantial effort on complex pre- or post-processors. SeqVISTA is freely available to academic users and can be launched online at http://zlab.bu.edu/SeqVISTA/web.jnlp, provided that Java Web Start has been installed. In addition, a stand-alone version of the program can be downloaded and run locally. It can be obtained at http://zlab.bu.edu/SeqVISTA.
Hu
Zhenjun
Z
Bioinformatics Program, Boston University, 44 Cummington Street, Boston, MA 02215, USA.
Fu
Yutao
Y
Halees
Anason S
AS
Kielbasa
Szymon M
SM
Weng
Zhiping
Z
D000465:Algorithms; D001665:Binding Sites; D019295:Computational Biology; D004247:DNA / Q000737:chemistry* / Q000378:metabolism; D005786:Gene Expression Regulation; D020407:Internet; D012045:Regulatory Sequences, Nucleic Acid; D012984:Software; D018511:Systems Integration; D014157:Transcription Factors / Q000378:metabolism; D014158:Transcription, Genetic
D014157:Transcription Factors; D004247:DNA