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David P. Parsons • Research & Development

David P. Parsons Personal Page

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David P. Parsons • Research & Development | parsons.eu Reviews
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David P. Parsons • Research & Development | parsons.eu Reviews

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David P. Parsons Personal Page

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David P. Parsons • Publications

http://www.parsons.eu/publications

David P. Parsons. Bioinformatics and Computational Biology. Research Engineer at INRIA. Knibbe et al., Int. Conf. Artif. Life, 2014. What happened to my genes? Insights on gene family dynamics from digital genetics experiments. Batut et al., BMC Bioinfo., 2013. Experimental evolution: a tool to test evolutionary scenarios. Strains (marine cyanobacteria) when compared to close relatives. Beslon et al., Europ. Conf. Artif. Life, 2013. An alife game to teach evolution of antibiotic resistance. Scaling laws ...

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David P. Parsons • Teaching

http://www.parsons.eu/teaching

David P. Parsons. Bioinformatics and Computational Biology. Research Engineer at INRIA. INSA de Lyon, Bioinformatics and Modelling Department. Software Engineering and Object-Oriented Programming with C . INSA de Lyon, Computer Science Department. Object-Oriented Programming with C . Multitask Programming with IPC System V. Information Systems Development with Java and JPA. Logic Programming with Prolog. INSA de Lyon, Undergraduate Department. Basic Programming with Pascal. Relational DataBases with SQL.

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Aevol • Contributors

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Aevol is currently developed by the LIRIS/INRIA Beagle team (Lyon, France) and by the "Evolutionary systems biology" team of INSERM U1001 (Paris, France). Bérénice Batut.

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David P. Parsons • Research & Development

David P. Parsons. Bioinformatics and Computational Biology. Research Engineer at INRIA. As a Research Engineer, my main task is to help Researchers in their software developments. I have the privilege of being involved in several projects spanning a wide range of different questions in the field of Bioinformatics and Computational Biology. Below is a list of the main 4 projects I have been involved in in the last few years. A digital genetics model ( in silico. Detection of polymorphisms in RNA-seq data.

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