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Authors: Anna Swan  or Lars Juhl Jensen  or Evangelos Pafilis  or Dominic Waithe 

and

Contributors: Björn Grüning  or Manimozhiyan Arumugam  or Marek Vrbacky  or Jamie Edwards  or Anatole Chessel  or Alex Botzki 

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. https://tess.elixir-europe.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
Text-mining exercises

Hands-on exercises using a variety of text-mining tools and databases based on text mining, to interpret the results from microbiome studies.

Scientific topics: Data mining, Natural language processing, Metagenomics, Microbial ecology

Text-mining exercises https://tess.elixir-europe.org/materials/text-mining-exercises Hands-on exercises using a variety of text-mining tools and databases based on text mining, to interpret the results from microbiome studies. Manimozhiyan Arumugam Data mining Natural language processing Metagenomics Microbial ecology Bioinformaticians Biologists