Training materials
Keywords: Bioinformatics or Cloud computing or eLearning
and Resource type: Computational Biology or Life Science Literature Database or Training materials or examples
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Training materials
HPC Hackathon Materials
• beginnerComputer science HPC high-performance computing eLearning EeLP -
Training materials
Containers and Workflows training materials hackathon
• beginnerComputer science Containers Workflows eLearning EeLP -
course materials, Training materials, Slides
Galaxy Proteomics workshop Prague 2018
-
course materials, Training materials, Slides
How to get the most out of your microarray experiment. A Webinar
- 1
- 2