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Gclust Server
About This Database

Database Description

General information of database
Database name
Gclust Server
Alternative name
-
DOI
10.18908/lsdba.nbdc00464-000
Creator
Creator Name
Naoki Sato*
Creator Affiliation
Laboratory of Plant Functional Genomics, Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo
Contact address

Laboratory of Plant Functional Genomics, Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo
Naoki Sato
E-mail: gclust_address

Database classification

Protein sequence databases

Database description

Database of sequence clusters obtained as a result of all-against-all BLAST search of proteins in 95 organism species.

Features and manner of utilization of database

Gclust is characterized by the capacity to perform classification of homologous proteins with automatically setting the threshold of similarity based on the results of the BLAST search of all proteins of all organism species to be compared. Because a homologous culster can be generated even for proteins with unknown function, Gclust may also be useful to find proteins which play important roles for a particular organisms or taxa of interest through such a generated homologous cluster specific to the organisms or taxa. (phylogenetic profiling).

License
CC BY-SA Detail
Background and funding
Name
KAKENHI (Grant-in-Aid for Scientific Research) on Priority Areas "Comparative Genomics" from the Ministry of Education, Culture, Sports, Science and Technology of Japan
Name
Research for the Future Program of the Japanese Society for Promotion of Science
Sequence comparison of homologous proteins across many organisms is the very basic of comparative genomics, but pairwise intergenomic comparison has been conventional. Degrees of sequence conservation depend on protein groups;some protein groups are highly conserved, but some orthologs are poorly conserved. Considering these points, we developed a technique which automatically generates ortholog clusters, and applied the technique to functional analysis of protein groups specific to photosynthetic organisms.
Reference(s)
Article title
Gclust: trans-kingdom classification of proteins using automatic individual threshold setting.
Author name(s)
Naoki Sato
Journal
Bioinformatics 2009 Mar 1;25(5):599-605.
External Links
Original website information
Database maintenance site
URL of the original website
http://gclust.c.u-tokyo.ac.jp/
Operation start date
2006/6
Last update date
2008/4
URL of the portal site
-
Whole data download
http://gclust.c.u-tokyo.ac.jp/Gclust_Download.html
Referenced database
Entry list
Not available
Query search
Not available
Web services
Not available
URL of Web services
-
Need for user registration
Not available