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Target audience: Microscopists  or Researchers  


Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements https://tess.elixir-europe.org/materials/bioinformatics-for-cancer-genomics-2018-module-9-gene-fusion-and-rearrangements Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
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