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Contributors: Anatole Chessel  or Alex Mitchell 

Metagenomics Bioinformatics

Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis.

Scientific topics: Metagenomics

Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology

Resource type: Tutorial

Metagenomics Bioinformatics http://tess.elixir-uk.org/materials/metagenomics-bioinformatics Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis. Alex Mitchell Varsha Kale Rob Finn Guillermo Rangel Pineros Rebecca Campos Metagenomics Metagenomics, MGnify, Sequence Analysis, Microbiology Life Scientists
EBI Metagenomics: analysing and exploring metagenomics data

EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets...

Scientific topics: Metagenomics

Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology

Resource type: Webinar

EBI Metagenomics: analysing and exploring metagenomics data http://tess.elixir-uk.org/materials/ebi-metagenomics-analysing-and-exploring-metagenomics-data EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets held within the European Nucleotide Archive. Alex Mitchell Metagenomics Metagenomics, MGnify, Sequence Analysis, Microbiology Life 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. 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