How computational models contribute to our understanding of the germ line-Reference-Cited by-同舟云学术

How computational models contribute to our understanding of the germ line

Published:2016-10-07 Issue:11 Volume:83 Page:944-957
ISSN:1040-452X
Container-title:Molecular Reproduction and Development
language:en
Short-container-title:Mol. Reprod. Dev.

Author:

Atwell Kathryn¹²,Dunn Sara-Jane²,Osborne James M.³,Kugler Hillel²⁴,Hubbard E. Jane Albert⁵

Affiliation:

1. Computational Biology Group; Department of Computer Science; University of Oxford; Oxford United Kingdom

2. Biological Computation; Microsoft Research; Cambridge United Kingdom

3. School of Mathematics and Statistics; University of Melbourne; Melbourne Australia

4. Faculty of Engineering; Bar-Ilan University; Ramat Gan Israel

5. Skirball Institute of Biomolecular Medicine; Department of Cell Biology, and Kimmel Center for Stem Cell Biology; New York University School of Medicine; New York New York

Funder

SABS Industrial Doctorate Centre

National Institutes of Health

Publisher

Wiley

Subject

Cell Biology,Developmental Biology,Genetics

Reference37 articles.

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2. Mechano-logical model of C. elegans germ line suggests feedback on the cell cycle;Atwell;Development,2015

3. A dynamic physical model of cell migration, differentiation and apoptosis in Caenorhabditis elegans;Beyer;Adv Exp Med Biol,2012a

4. Modelling aspects of cancer dynamics: A review;Byrne;Phil Trans R Soc A,2006

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