SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena
Author(s) -
Yukako Tohsato,
Kenneth H. L. Ho,
Koji Kyoda,
Shuichi Onami
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/btw417
Subject(s) - computer science , biological data , markup language , quantitative analysis (chemistry) , dynamics (music) , visualization , software , biological database , experimental data , data mining , database , bioinformatics , xml , programming language , biology , chemistry , world wide web , mathematics , physics , statistics , chromatography , acoustics
Rapid advances in live-cell imaging analysis and mathematical modeling have produced a large amount of quantitative data on spatiotemporal dynamics of biological objects ranging from molecules to organisms. There is now a crucial need to bring these large amounts of quantitative biological dynamics data together centrally in a coherent and systematic manner. This will facilitate the reuse of this data for further analysis.
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