Life Science Database Archive
Gclust Server

Database Description

General information of database

info Database name Gclust Server
info Alternative name -
info 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
info 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

info Database classification Protein sequence databases
info Organism

Taxonomy Name:11 plants, 9 Other bikonts, 25 cyanobacteria, 15 photosynthetic bacteria, 31 non-photosynthetic bacteria, 8 Opistokonts (animals and fungi), total 95 species

info Database description

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

info 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).

info License CC BY-SA Detail
info Background and funding

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.

info 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
info 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.

Original website information

info URL of the original website
info Operation start date 2006/6
info Last update date 2008/4
info URL of the portal site -
info Entry list -
info Query search Available
info Web services Not available
info URL of Web services -
info Need for user registration -

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