Register training material
3 materials found

Contributors: Anatole Chessel  or Vitor Sousa 


PGDH19 - Population Genetics Demographic History: model-based approaches (2019)

Training material for a hands-on course with a practical approach in the analysis of genetic and genomic data.

Keywords: Population Genomics, Phylogenetics

Resource type: Documentation, Exercise, Handout, Scripts

PGDH19 - Population Genetics Demographic History: model-based approaches (2019) http://tess.elixir-uk.org/materials/pgdh19-population-genetics-demographic-history-model-based-approaches-2019 Training material for a hands-on course with a practical approach in the analysis of genetic and genomic data. Mark Beaumont Lounès Chikhi Willy Rodriguez Vitor Sousa Armando Arredondo Population Genomics, Phylogenetics Academia/ Research Institution Industry Non-Profit Organisation
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)

Training material for hands-on course with a practical approach in the analysis of genetic and genomic data.

Keywords: Population Genomics, Phylogenetics

Resource type: Documentation, Exercise, Handout, Scripts

PGDH18 - Population Genetics and Demographic History: model-based approaches (2018) http://tess.elixir-uk.org/materials/pgdh18-population-genetics-and-demographic-history-model-based-approaches-2018 Training material for hands-on course with a practical approach in the analysis of genetic and genomic data. Mark Beaumont Lounès Chikhi Willy Rodríguez Armando Arredondo Soto Vitor Sousa Population Genomics, Phylogenetics Academia/ Research Institution Industry Non-Profit Organisation
Introductory image processing on biological images using python.

A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples.

Resource type: Jupyter notebook, PDF

Introductory image processing on biological images using python. http://tess.elixir-uk.org/materials/introductory-image-processing-on-biological-images-using-python A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples. Anatole Chessel Volker Baecker Bioimage Analysts Image Analysts Computer Vision scientists bioinformaticians computational scientists Biophysicists Biologists Microscopists Python for Biologists PhD students