Generalized Venn diagrams: a new method of visualizing complex genetic set relations
Author(s) -
Hans A. Kestler,
André Frotta Müller,
Thomas M. Gress,
Malte Buchholz
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/bti169
Subject(s) - venn diagram , computer science , visualization , context (archaeology) , set (abstract data type) , cardinality (data modeling) , intersection (aeronautics) , theoretical computer science , data mining , documentation , ontology , programming language , information retrieval , mathematics , paleontology , philosophy , mathematics education , epistemology , biology , engineering , aerospace engineering
Microarray experiments generate vast amounts of data. The unknown or only partially known functional context of differentially expressed genes may be assessed by querying the Gene Ontology database via GOMiner. Resulting tree representations are difficult to interpret and are not suited for visualization of this type of data. Methods are needed to effectively visualize these complex set relationships.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom