ChemTreeMap: an interactive map of biochemical similarity in molecular datasets | Zendy

Jing Lü | Zendy; Heather A. Carlson | Zendy

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ChemTreeMap: an interactive map of biochemical similarity in molecular datasets

Author(s) -

Jing Lü,

Heather A. Carlson

Publication year - 2016

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/btw523

Subject(s) - computer science , visualization , similarity (geometry) , tree (set theory) , chemical space , data mining , biological data , source code , information retrieval , cheminformatics , data visualization , simple (philosophy) , code (set theory) , interactive visualization , data science , bioinformatics , artificial intelligence , drug discovery , programming language , biology , mathematical analysis , philosophy , mathematics , set (abstract data type) , epistemology , image (mathematics)

What if you could explain complex chemistry in a simple tree and share that data online with your collaborators? Computational biology often incorporates diverse chemical data to probe a biological question, but the existing tools for chemical data are ill-suited for the very large datasets inherent to bioinformatics. Furthermore, existing visualization methods often require an expert chemist to interpret the patterns. Biologists need an interactive tool for visualizing chemical information in an intuitive, accessible way that facilitates its integration into today's team-based biological research.

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