BioHackersNetSequenceTagAlignmentAndConsensusKnowledgeBase
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 [Cell]에 대해서는 가장 정확한 EstClustering을 수행하는 것으로 알려져있다.