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About

I joined the Bioinformatics and Biostatistics Hub at Institut Pasteur in 2016 where I am currently developing pipelines related to NGS for the Biomics Pôle. I have an interdisciplinary research experience: after a PhD in Astronomy (gravitational wave data analysis), I joined several research institute to work in the fields of plant modelling (INRIA, Montpellier, 2008-2011), System Biology — in particular logical modelling (EMBL-EBI Cambridge, U.K., 2011-2015), and drug discovery (Sanger Institute, Cambridge, U.K.), 2015). On a daily basis, I use data analysis and machine learning techniques within high-quality software to tackle scientific problems.

Examples of scientific software are bioservices (access to biological web services programmatically), Sequana (Pipelines related to NGS analysis including genomics, transcriptomics, short and long reads), Bioconvert (a collaborative project to convert biological formats)


Sequana is a versatile tool that provides (i) a Python library dedicated to NGS analysis (e.g., tools to visualise standard NGS formats), (ii) a set of pipelines dedicated to NGS in the form of Snakefiles (Makefile-like with Python syntax based on snakemake framework), (iii) original tools to help in the creation of such pipelines including HTML reports. Examples of standalone applications are

  • sequana_coverage ease the extraction of genomic regions of interest and genome coverage information
  • sequana_taxonomy performs a quick taxonomy of your FastQ. This requires dedicated databases to be downloaded.
  • Sequanix: GUI for snakemake workflows, a GUI for Snakemake workflows (hence Sequana pipelines as well)

Sequana can be used by developers to create new pipelines and by users in the form of applications ready for production.

Would you be interested in joining our software development efforts, or interested in providing NGS snakemake pipelines, please have a look at Sequana or simply contact me.


The other on-going project is Bioconvert a collaborative project where everybody is welcome to contribute with code, ideas, examples, documentation, etc.

Courses

Scientific Programming in Python

The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order […]

2017-03-06 09:30:00 2017-03-18 17:00:00 Europe/Paris Scientific Programming in Python The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order […] 25 Rue du Dr Roux, 75015 Paris, France

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