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

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Pages637-642
Number of pages6
StatePublished - 2004
EventProceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN - Hong Kong, China
Duration: 10 May 200412 May 2004

Conference

ConferenceProceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN
Country/TerritoryChina
CityHong Kong
Period10/05/0412/05/04

Fingerprint

Dive into the research topics of 'Identifying transcriptional regulatory sites in the human genome using an integrated computation'. Together they form a unique fingerprint.

Cite this