RgS-Miner: A biological data warehousing, analyzing and mining system for identifying transcriptional regulatory sites in human genome

NCUIR > college of Health Sciences and Technology > Graduate Institute of Life Science > journal & Dissertation > Item 987654321/33601

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/33601

Title:	RgS-Miner: A biological data warehousing, analyzing and mining system for identifying transcriptional regulatory sites in human genome
Authors:	Sun,YM;Huang,HD;Horng,JT;Tsou,AP;Huang,SL
Contributors:	生命科學研究所
Keywords:	SACCHAROMYCES-CEREVISIAE;COMPUTATIONAL ANALYSIS;PROMOTER REGIONS;SEQUENCES;ELEMENTS;GENES;IDENTIFICATION;PATTERNS;DNA
Date:	2004
Issue Date:	2010-07-07 11:39:31 (UTC+8)
Publisher:	中央大學
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 then they mu
Relation:	DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
Appears in Collections:	[Graduate Institute of Life Science] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	529	View/Open

社群 sharing