Creating views on integrated multidomain data | Zendy

Hendrik Rohn | Zendy; Christian Klukas | Zendy; Falk Schreiber | Zendy

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Creating views on integrated multidomain data

Author(s) -

Hendrik Rohn,

Christian Klukas,

Falk Schreiber

Publication year - 2011

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/btr282

Subject(s) - computer science , visualization , biological data , grasp , data integration , domain (mathematical analysis) , data science , biological database , data visualization , data type , data mining , software engineering , programming language , bioinformatics , biology , mathematical analysis , mathematics

Modern data acquisition methods in biology allow the procurement of different types of data in increasing quantity, facilitating a comprehensive view of biological systems. As data are usually gathered and interpreted by separate domain scientists, it is hard to grasp multidomain properties and structures. Consequently, there is a need for the integration of biological data from different sources and of different types in one application, providing various visualization approaches.

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