BiSAn: A software for efficient computation of transcription factor binding motifs for high throughput gene ezpression analysis

摘要：

Position frequency matrices (PFMs) represent the most widely employed model for transcription factor binding motifs (TFBMs).Given a set of TFBMs, regulatory networks can be predicted through in silico methods by using cognate binding sequences to construct models.The availability of PFMs offers much promise for high throughput TFBM detection in the form of a pipeline to facilitate the analysis of microarray data.Here we present BiSAn, a simple yet effective software for biologists to efficiently identify putative TFBMs from promoter sites belonging to their genes of interest at the click of a button.BiSAn is freely available and can be downloaded fromhttp://www.1066technologies.co.uk/bisan

关键词： microarray analysis high throughput TFBM PFMs BiSAn Transcription factors and binding sites

作者: Mohsin Amir Faiz Khan Chandrasekhar Babu Gorle Ping Wang XiaoHui Liu Su-Ling Li

作者单位: Molecular Immunology Group Microarray Facility,Division of Bio Sciences Brunel University,Uxbridge,L Immunology Group Institute of Cell and Molecular Sciences Barts and London School of Medicine,London Intelligent Data Analysis Group Department of Information Systems & Computing Brunel University,Uxbr

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）