**Scientific topics**:
Data management
or
Statistics and probability

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece.

Probabilistic models describe how the observed data was generated, and what structure the signal and noise from potentially multiple sources may have. Many classical statistical models are special cases of probabilistic models with special modeling assumptions. Probabilistic models can be...

Statistics are an important part of most modern studies and being able to effectively use a statistics package can help you to understand your results. This course provides an introduction to statistics illustrated though the use of the friendly SPSS package.

R is a free software environment for statistical computing and graphics. It is widely used in scientific data analysis. R is a great tool for biologists, since it provides cutting edge statistical techniques, excellent graph and figure plotting capabilities and bioinformatics tools all in one...

From 24-28 October 2016, the EMBL-ABR Hub ran a week-long Best Practice workshop series focussing on the Data Life Cycle for biological and bioinformatics data. International and local faculty members joined highly engaged participants from around Australia: students, postdocs, lecturers, other...

The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge....

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