title: Quantitative stem cell biology: the threat and the glory.
abstract: 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.
authors.affiliation: MRC Centre for Regenerative Medicine and Edinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh EH16 4AA, UK Steven.pollard@ed.ac.uk.
authors.forename: Steven M
authors.identifier: 0000-0001-6428-0492
authors.initials: SM
authors.lastname: Pollard
mesh_terms: D000818:Animals; D019295:Computational Biology; D003226:Congresses as Topic; D057890:Epigenomics; D000072669:Gene Editing; D006801:Humans; D013234:Stem Cells / Q000502:physiology*; D049490:Systems Biology / Q000379:methods / Q000639:trends; D014158:Transcription, Genetic
keywords: Bioinformatics; Computational biology; Epigenetics; Genome editing; Stem cells; Transcription