Identifying transcriptional regulatory sites in the human genome using an integrated computation

Hsien Da Huang, Jorng Tzong Horng, Yi Ming Sun, Ann Ping Tsou, Shir Ly Huang

研究成果: 會議貢獻類型會議論文同行評審

摘要

Recently, biological databases and analytical methods have become available for analyzing gene expression and transcriptional regulatory sequences. However, users must make the complicated analyses to query the data in various databases, and to analyze the gene upstreams using various predictive tools. Beyond methods for predicting transcriptional regulatory sites, new automated and integrated methods for analyzing gene upstream sequences on a higher level are urgently required. We present an integrated system to predict transcriptional regulatory sites and detect co-occurrence of these regulatory sites after a set of genes are input. The system comprises a biological data warehousing system, pattern discovery programs, pattern occurrence association detectors and user interfaces. User profiles and history pages enable users to trace the sequence analyses for transcriptional regulatory sites.

原文???core.languages.en_GB???
頁面637-642
頁數6
出版狀態已出版 - 2004
事件Proceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN - Hong Kong, China
持續時間: 10 5月 200412 5月 2004

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???event.eventtypes.event.conference???Proceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN
國家/地區China
城市Hong Kong
期間10/05/0412/05/04

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