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Stephane Joost
PeerJ Author
175 Points

Contributions by role

Preprint Author 175
Preprint Feedback 60

Contributions by subject area

Bioinformatics
Computational Biology
Spatial and Geographic Information Systems
Data Science
Data Mining and Machine Learning
Scientific Computing and Simulation

Stephane Joost

PeerJ Author

Summary

I am specialized in the contribution of Geographic Information Science for the conservation of plant and animal genetic resources. I apply spatial statistics and geocomputation methods to conservation genetics and landscape genomics.

Agricultural Science Conservation Biology Environmental Sciences Evolutionary Studies Genetics

Editing Journals

Past or current institution affiliations

École Polytechnique Federale de Lausanne

Work details

Research and Teaching Associate

Laboratory of Geographic Information Systems, EPFL
Institute of Environmental Engineering

MFSA

PeerJ Contributions

  • Preprints 2
  • Feedback 5
October 13, 2016 - Version: 3
Open computational landscape genetics
Stéphane Joost, Solange Duruz, Estelle Rochat, Ivo Widmer
https://doi.org/10.7287/peerj.preprints.1721v3
September 27, 2016 - Version: 2
Keys to successful scientific VGI projects
Jens Ingensand, Sarah Composto, Olivier Ertz, Daniel Rappo, Marion Nappez, Timothée Produit, Mathias Oberson, Ivo Widmer, Stéphane Joost
https://doi.org/10.7287/peerj.preprints.2230v2

Provided feedback on

15 Aug 2016

CartograTree: Enabling landscape genomics for forest trees

The manuscript misses arguments related to the open-source dimension of the development,which are very important to OGRS. In the original CartograTree paper by Vasquez-Gross et al...

15 Aug 2016

Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data

This paper is missing information about the programming languages and open source libraries/packages used to deal with the genetic, geographic, and environmental datasets in the Ba...

15 Aug 2016

Probabilistic graph models for landscape genetics

Very good paper offering new perspectives in landscape genetics by means of specific open source software developments relying on strong theoretical bases. The paper is based on th...

12 Oct 2016

Geospatial Big Data processing in an open source distributed computing environment

On-the-fly review for "last-minute" submission (paper submitted without reference to the OGRS 22016 collection): Major concern: - In the abstract you say that "this paper prese...

12 Oct 2016

Open computational landscape genetics

Autoreview: there is a problem with the new version. The section on the detection of selection signatures is missing. The title of the section is correct, but then the text is the...