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

StackDb와 StackPack으로 이루워져 있다.

----
CategoryProject