- Web report
- Open Access
Expressed sequence tag (EST) clustering database
- Paul Kellam
© BioMed Central Ltd 2000
- Received: 21 December 1999
- Published: 27 April 2000
The sequence tag alignment and consensus knowledgebase (STACK) is an international collaborative project on EST clustering.
- Mycobacterium Tuberculosis
- Alignment Accuracy
- Local Machine
- Cluster Database
The sequence tag alignment and consensus knowledgebase (STACK) is an international collaborative project on EST clustering. STACK uses a different algorithm to cluster ESTs than other EST databases such as UniGene and TIGR, and claims to produce longer EST consensus sequences than the other databases without sacrificing multiple alignment accuracy. It is possible to search sequences against STACK using the full range of BLAST programs at this site. The South African National Bioinformatics Institute (SANBI) homepage through which STACK is accessed has links to people, positions and courses at SANBI, to the tuberculosis Mycobacterium tuberculosis information site, including MycDB, and to a new HIV Africa website.
The site was last modified on 1 December 1999 with the addition of HIV Africa.
Searching STACK with BLAST is excellent with the results easy to understand and links to the EST clusters easy to follow. In addition, a good feature is the ability to search for ESTs from defined organs. The STACK database and programs are also downloadable to local machines.
The links to the EST multiple alignment data are not easy to follow and could be made more robust.
A useful feature to add in the light of large sequencing projects would be the ability to submit batch processes, containing multiple search sequences, direct to the STACK server.