Quantitative stem cell biology: the threat and the glory
Author(s) -
Steven M. Pollard
Publication year - 2016
Publication title -
development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.15
H-Index - 36
eISSN - 1477-9129
pISSN - 0950-1991
DOI - 10.1242/dev.140541
Subject(s) - biology , stem cell biology , stem cell , computational biology , data science , quantitative biology , evolutionary biology , environmental ethics , microbiology and biotechnology , computer science , embryo , reproductive technology , embryogenesis , philosophy
Major technological innovations over the past decade have transformed our ability to extract quantitative data from biological systems at an unprecedented scale and resolution. These quantitative methods and associated large datasets should lead to an exciting new phase of discovery across many areas of biology. However, there is a clear threat: will we drown in these rivers of data? On 18th July 2016, stem cell biologists gathered in Cambridge for the 5th annual Cambridge Stem Cell Symposium to discuss 'Quantitative stem cell biology: from molecules to models'. This Meeting Review provides a summary of the data presented by each speaker, with a focus on quantitative techniques and the new biological insights that are emerging.
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