SequenceTagAlignmentAndConsensusKnowledgeBase

http://www.sanbi.ac.za/Dbases.html

Based on "loose" Clustering, followed by strict assembly and analysis tools to identify, characterize, view and isolate sequence divergence.

The "loose" Clustering approach, D2Cluster, is not based on alignments, but performs comparisons via non-contextual assessment of the composition and multiplicity of words within each sequence.

STACK produces longer consensus sequences than TirgGeneIndices, and concentrates on human data.

남아프리카공화국 생물정보학그룹에서 만든 EstClustering관련 프로젝트. 현재 특히 Euckaryotic Cell에 대해서는 가장 정확한 EstClustering을 수행하는 것으로 알려져있다.

StackDb와 StackPack으로 이루워져 있다.

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