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2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04)
Identifying Transcriptional Regulatory Sites in the Human Genome Using an Integrated Computation
Hong Kong, SAR, China
May 10-May 12
ISBN: 0-7695-2135-5
ASCII Text
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Hsien-Da Huang, Jorng-Tzong Horng, Yi-Ming Sun, Ann-Ping Tsou, Shir-Ly Huang, "Identifying Transcriptional Regulatory Sites in the Human Genome Using an Integrated Computation," Parallel Architectures, Algorithms, and Networks, International Symposium on, pp. 637, 2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04), 2004.
 
 
BibTex
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@article{ 10.1109/ISPAN.2004.1300550,
author = {Hsien-Da Huang and Jorng-Tzong Horng and Yi-Ming Sun and Ann-Ping Tsou and Shir-Ly Huang},
title = {Identifying Transcriptional Regulatory Sites in the Human Genome Using an Integrated Computation},
journal ={Parallel Architectures, Algorithms, and Networks, International Symposium on},
volume = {0},
year = {2004},
issn = {1087-4089},
pages = {637},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISPAN.2004.1300550},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel Architectures, Algorithms, and Networks, International Symposium on
TI - Identifying Transcriptional Regulatory Sites in the Human Genome Using an Integrated Computation
SN - 1087-4089
SP
EP
A1 - Hsien-Da Huang,
A1 - Jorng-Tzong Horng,
A1 - Yi-Ming Sun,
A1 - Ann-Ping Tsou,
A1 - Shir-Ly Huang,
PY - 2004
KW - null
VL - 0
JA - Parallel Architectures, Algorithms, and Networks, International Symposium on
ER -
 
Hsien-Da Huang, National Chiao-Tung University, Taiwan
Jorng-Tzong Horng, National Central University, Taiwan; National Central University, Taiwan
Yi-Ming Sun, National Central University, Taiwan
Ann-Ping Tsou, National Yang-Ming University, Taiwan
Shir-Ly Huang, National Central University, Taiwan
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.
Citation:
Hsien-Da Huang, Jorng-Tzong Horng, Yi-Ming Sun, Ann-Ping Tsou, Shir-Ly Huang, "Identifying Transcriptional Regulatory Sites in the Human Genome Using an Integrated Computation," ispan, pp.637, 2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04), 2004
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