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Multi-scale computational modeling of developmental biology
Author(s) -
Yaki Setty
Publication year - 2012
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/bts307
Subject(s) - computer science , scale (ratio) , multicellular organism , developmental biology , process (computing) , caenorhabditis elegans , in silico , set (abstract data type) , systems biology , biology , computational model , computational biology , artificial intelligence , programming language , genetics , physics , quantum mechanics , gene
Normal development of multicellular organisms is regulated by a highly complex process in which a set of precursor cells proliferate, differentiate and move, forming over time a functioning tissue. To handle their complexity, developmental systems can be studied over distinct scales. The dynamics of each scale is determined by the collective activity of entities at the scale below it.

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