kClust – Fast and Sensitive Clustering of large Protein Sequence Databases

kClust

:: DESCRIPTION

kClust is a fast and sensitive clustering method for the clustering of protein sequences. It is able to cluster large protein databases down to 20-30% sequence identity. kClust generates a clustering where each cluster is represented by its longest sequence (representative sequence).

::DEVELOPER

Söding Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX

:: DOWNLOAD

kClust

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013 Aug 15;14:248. doi: 10.1186/1471-2105-14-248.
kClust: fast and sensitive clustering of large protein sequence databases.
Hauser M, Mayer CE, Söding J.

Re-searcher 1.4 – System for Recurrent Searches of Homologs in Protein Sequence databases

Re-searcher 1.4

:: DESCRIPTION

Re-searcher is a user-friendly configurable system for recurrent searches and reporting of new homologs in specified protein sequence databases. Searches can be performed at desired intervals either within NCBI or local databases using BLAST or PSI-BLAST. In addition to searches against an individual database, the system can perform “PDB-BLAST”-like combined searches, when PSI-BLAST profile generated during search against the first database is used to search the second database. The system supports multiple users each keeping track of multiple queries and query-specific results.

::DEVELOPER

VU Institute of Biotechnology

:: SCREENSHOTS

Researcher

::REQUIREMENTS

  • Windows/Linux
  • Web Server
  • Java

:: DOWNLOAD

  Re-searcher

:: MORE INFORMATION

Citation

Repšys V., Margelevičius M. and Venclovas Č. (2008)
Re-searcher: a system for recurrent detection of homologous protein sequences.
BMC Bioinformatics 2008, 9:296