Intersect: identification and visualization of overlaps in database search results | Zendy

Scott C.H. Pegg | Zendy; Walter R. P. Novak | Zendy; Patricia C. Babbitt | Zendy

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Intersect: identification and visualization of overlaps in database search results

Author(s) -

Scott C.H. Pegg,

Walter R. P. Novak,

Patricia C. Babbitt

Publication year - 2003

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/btg256

Subject(s) - visualization , identification (biology) , computer science , database , data mining , information retrieval , biology , botany

The determination of distant evolutionary relationships remains an important biological problem, and distant homologs often appear in statistically insignificant regions of sequence similarity searches. Intersect is a computer program designed to identify and visualize the overlaps between sets of sequences reported by multiple database searches. This capability extends the usefulness of database search results and aids researchers in identifying the individual sequences that best bridge sequence families and superfamilies.

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