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Expressed sequence tag (EST) clustering database

DOI: 10.1186/gb-2000-1-1-reports237

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Abstract:

Moving around is easy, with none of the links progressing too far. The site is well documented and explained, enabling easy use.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.Other EST clustering systems are found at UniGene and TIGR gene indices.South African National Bioinformatics Institute (SANBI). STACK: sequence tag alignment and consensus knowledgebaseSouth African National Bioinformatics InstituteUniGeneTIGR gene indices

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