IFGAP：整合的功能基因组联网分析平台.docVIP

  IFGAP: a web integrated functional genomics analyzing platform# HUANG Teng, LI Yan, WANG Peng, NING Shangwei, WANG Qianghu, XIAO Yun, 5 10 15 20 25 30 35 40 LI Chunquan, LI Xia** (College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086) Abstract: The functional analysis of human genomics has been an increasing demand to help the study of human medical science. We here introduce a web-based integrative platform (IFGAP) for functional genomics analysis. IFGAP integrates functional annotation analysis, enrichment analysis and functional similarity analysis based on a unified background database. IFGAP provides comprehensive analysis of functional genomics to support molecular biology studies and generate novel biological hypothesis. We demonstrated the utility of IFGAP by analyzing associations between p53 pathway and skin cancer and our results indicated that p53 pathway is involved in the development of skin cancer. Availability: Freely available at /IFGAP. Keywords: Biophysics; bioinformatics tools; analyzing platform; functional genomics 0 Introduction In recent years, functional genomics has become an important subject in biological research. Functional analysis of human genomics has been used to help the study of human medical science, such as the research of personalized therapeutic approaches [1, 2] and vaccine design [3]. As a result of the development of high-throughput gene detection technologies, large amounts of genes have been discovered [4, 5]. In consideration of the growing numbers of genomics data, integrative analysis of functional genomics has become an important thrust in bioinformatics research and analysis tools are rapidly increasing. According to functional genomics research to date, functional analysis can be roughly categorized into two major types: 1) Gene functional studies based on semantic annotation or functional similarity analysis; 2) Functional module studies which involve annotation analysis,