Overview
- The authors include some of the most outstanding scientists from both Biology and Mathematics
- Their contributions reflect the most recent advances in their specific fields of interest
- The book is unique in offering a genuine interaction between biologists and mathematicians in solving important key issues in modern biology
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics (PROM, volume 15)
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Table of contents (21 papers)
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IDEAS, HYPOTHESIS, SUGGESTIONS
Keywords
About this book
Reviews
From the reviews:
“The current book may be a good start to explore the subject. There are some 20 relatively short papers presenting different possible angles, approaches, and models for many different aspects of morphogenetic phenomena. The seeds for these papers were planted during a workshop on the subject at the IHES in Bures-sur-Yvette (France) in 2010. The idea of this workshop was precisely to create an environment in which biologists and mathematicians could communicate on this particular subject.” (A. Bultheel, The European Mathematical Society, December, 2012)Editors and Affiliations
Bibliographic Information
Book Title: Pattern Formation in Morphogenesis
Book Subtitle: Problems and Mathematical Issues
Editors: Vincenzo Capasso, Misha Gromov, Annick Harel-Bellan, Nadya Morozova, Linda Louise Pritchard
Series Title: Springer Proceedings in Mathematics
DOI: https://doi.org/10.1007/978-3-642-20164-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-20163-9Published: 03 October 2012
Softcover ISBN: 978-3-642-44182-0Published: 09 November 2014
eBook ISBN: 978-3-642-20164-6Published: 02 October 2012
Series ISSN: 2190-5614
Series E-ISSN: 2190-5622
Edition Number: 1
Number of Pages: VIII, 292
Topics: Applications of Mathematics, Biomedicine general, Computational Biology/Bioinformatics, Microbial Genetics and Genomics, Mathematics, general