Go to contents

(사)한국바이오칩학회 The Korean BioChip Society

BT+IT+NT융합시대의 리더 : 한국바이오칩학회

학술지 열람

논문 정보 자세히 보기

Info. Vol.4 - No.4 (2010.12.20)
Title Array2GO: a simple web-based tool to search gene ontology for analysis of multi genes expression
Authors Jun Sub Kim1, Seung Jun Kim1,2, Seung Yong Lee3, Jeong Han3, Yu Ri An2, A Rang Kim2 & Seung Yong Hwang1,2
Institutions 1GenoCheck Co. Ltd., #628, HIB, Sa 1-dong, Sangnok-gu, Ansan, Gyeonggi-do 426-791, Korea
2Department of Biochemistry, Hanyang University & GenoCheck Co. Ltd., Sangnok-gu, Ansan, Gyeonggi-do 426-791, Korea
3Department of Bio-Nanotechnology, Hanyang University, Sa 1-dong, Sangnok-gu, Ansan, Gyeonggi-do 426-791, Korea
Correspondence and requests for materials should be addressed to S.Y. Hwang (syhwang@hanyang.ac.kr)
Abstract As a result of population and universality in high-throughput omics technologies in the last decade, such as microarray methods, many researchers who study their genes of interest that are similarly or differently expressed in cellular states, diseases, functional, or environmental element conditions have been possessed of the ability to identify biological validation on the genomic scale. In parallel with the advancement of omics experiments, the number of biological databases, which contain the biological annotations, genetic functionalities, metabolic pathways, and mutational information or functional interactions between genes or proteins, has increased. Fortunately, these datasets have been mainly opened to computational network protocols, such as FTP or SSH, and have freely served as web search tools to enable users to retrieve a biological annotation with queries. Of these databases, GO (Gene Ontology) provides controlled vocabulary terms for describing biological annotation of a gene or gene product in tree aspects that are classified as biological process, cellular component, and molecular function across various species. Also, GO gives researchers a publicly accessible tool for identification of a gene or gene product with GO terms. The result of this tool displays the hierarchical tree-type html format or DAGs (Directed Acyclic Graphs) graphtype format to users according to the three aspects of GO. However, as this permits users to ask only one keyword at a time, it is difficult to search many interesting gene sets in gene expression profiles obtained from microarray experiments at once. A few GO search tools have been developed to help in analysis of GO annotation for multi genes. However they have not satisfied user demands in terms of the simplicity of the user interface and visualization of analysis results. For these reasons, Array2GO, which has been based on a web environment, has been developed and is freely accessible at http://www.koreagene.co.kr/cgi-bin/ service/service1.pl.
Keyword Gene Ontology, Omics, Microarray, Database, Visualization
PDF File
# 2010년도 발행분 부터는 Springer 의 BioChip Journal 페이지에서 전문을 열람하실 수 있습니다.
# 학회회원 로그인 후 [ Springer BioChip Journal 열람하기 ] 버튼을 클릭하시면 새창으로 열립니다.
→ 전체 목록 보기

(사)한국바이오칩학회 (The Korean BioChip Society)
전화 : 070-7767-9855
전자우편 : biochip@biochip.or.kr
전화 : 070-7767-9867
전자우편 : biochip2@biochip.or.kr
주소 : (우)06130, 서울특별시 강남구 테헤란로7길 22 과학기술회관 신관 804호     대표자 : 심상준, 고유번호 : 206-82-65403
팩스 : 02-921-9856 , 웹사이트 : http://www.biochips.or.kr Copyright © The Korean BioChip Society. All Rights Reserved.