Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

Author:   Christine Sinoquet (Associate Professor in Computer Science, Associate Professor in Computer Science, University of Nantes) ,  Raphaël Mourad (Post-doctoral Research Fellow, Post-doctoral Research Fellow, Department of Human Genetics, University of Chicago)
Publisher:   Oxford University Press
ISBN:  

9780198709022


Pages:   478
Publication Date:   18 September 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics


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Author:   Christine Sinoquet (Associate Professor in Computer Science, Associate Professor in Computer Science, University of Nantes) ,  Raphaël Mourad (Post-doctoral Research Fellow, Post-doctoral Research Fellow, Department of Human Genetics, University of Chicago)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 20.20cm , Height: 2.50cm , Length: 24.90cm
Weight:   1.162kg
ISBN:  

9780198709022


ISBN 10:   0198709021
Pages:   478
Publication Date:   18 September 2014
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Christine Sinoquet is an Associate Professor in Computer Science at the University of Nantes, France, where she works in the area of bioinformatics and computational biology at the Computer Science Institute of Nantes-Atlantic. She holds a M.Sc. in Computer Science from the University of Rennes 1 and received her Ph.D. in Computer Science from this same institution. During her Ph.D. position at the Inria Centre of Rennes, she specialized in bioinformatics. She has initiated two Master degree programs in bioinformatics (University of Clermont, France, and Nantes). She currently serves as the Head of this second Master degree program since 2005. Her research activities have been focused on various topics including data correction prior to molecular phylogeny inference, motif discovery in biological sequences, comparative genomics and imputation of missing genotypic data. Her current research interests are algorithmic and machine learning aspects of complex data analysis in the biomedical field. Raphaël Mourad received his PhD from the University of Nantes in september 2011. His first postdoc (2011-2012) was at the Lang Li lab, Center for Computational Biology and Bioinformatics, Indiana University Purdue University of Indianapolis (IUPUI). He notably worked on the genome-wide analysis of chromatin interactions. His second postdoc (2012-2013) was at the Carole Ober Laboratory and Dan Nicolae Laboratory, Department of Human Genetics, University of Chicago. He worked on whole-genome sequencing data in asthma. As from november 2013, he started a third postdoc at the LIRMM, in Montpellier (France) which deals with the bioinformatics of HIV.

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