Incremental generation of summarized clustering hierarchy for protein family analysis | Zendy

ChienYu Chen | Zendy; YenJen Oyang | Zendy; HsuehFen Juan | Zendy

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Incremental generation of summarized clustering hierarchy for protein family analysis

Author(s) -

ChienYu Chen,

YenJen Oyang,

HsuehFen Juan

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth290

Subject(s) - dendrogram , automatic summarization , cluster analysis , hierarchical clustering , computer science , data mining , similarity (geometry) , hierarchical clustering of networks , database , fuzzy clustering , information retrieval , artificial intelligence , cure data clustering algorithm , population , image (mathematics) , demography , sociology , genetic diversity

Protein sequence clustering has been widely exploited to facilitate in-depth analysis of protein functions and families. For some applications of protein sequence clustering, it is highly desirable that a hierarchical structure, also referred to as dendrogram, which shows how proteins are clustered at various levels, is generated. However, as the sizes of contemporary protein databases continue to grow at rapid rates, it is of great interest to develop some summarization mechanisms so that the users can browse the dendrogram and/or search for the desired information more effectively.

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