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9 materials found

Scientific topics: Data architecture, analysis... 


Practically FAIR

This webinar will focus on practical applications of the FAIR data principles, particularly in the context of clinical bioinformatics. We will highlight several example projects that have put the FAIR principles in practice, and discuss the advantages and some of the challenges involved. ELIXIR...

Scientific topics: Data architecture, analysis and design, Translational medicine

Resource type: Recorded webinar

ResOps

This course will provide an introduction to cloud computing and some practical experience in building, deploying and running applications in cloud platforms - OpenStack, Google, Amazon and Azure.

Scientific topics: Computer science, Data architecture, analysis and design, Software engineering

Resource type: e-learning

WORKSHOP: R: fundamental skills for biologists

This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.

Event description

Biologists need data analysis skills to be able to...

Scientific topics: Data visualisation, Data architecture, analysis and design

Keywords: Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation

Reproducible analysis

Slides for the "Reproducible analysis" session of the "Best practices in research data management and stewardship" held regularly by ELIXIR-Luxembourg.

Scientific topics: Data architecture, analysis and design

Keywords: Workflows, Literate programming, Reproducible Science, Data analysis

Resource type: Presentation

A common framework for designing portable federated pipelines

This video describes a common framework for designing portable federated pipelines. The joint cohort genotyping pipeline is provided as a specific implementation example. The ability of the pipeline to run in different environments, accessing the data via different protocols, and applying the...

Scientific topics: Data architecture, analysis and design

Keywords: data access, federated data analysis

Resource type: Video

Data Gravity in the Life Sciences: Lessons learned from the HCA and other federated data projects

We live in an era of cloud computing. Many of the services in the life sciences are keenly planning cloud transformations, seeking to create globally distributed ecosystems of harmonised data based on standards from organisations like GA4GH. CINECA faces similar challenges, gathering cohort...

Scientific topics: Data architecture, analysis and design

Keywords: Cloud computing, Data analysis, Standards, Translational research

Resource type: Video

Reproducible data analysis with RStudio, github and Rmarkdown

Best practices for writing reproducible data-analysis
Creating a reproducible and re-usable data-analysis environment with Rstudio
Input: https://github.com/vibbits/RDM-LS
Output: https://github.com/vibbits/RDM-LS-solution

Scientific topics: Data architecture, analysis and design, Data management

Keywords: Data analysis

Resource type: Presentation

High-throughput sequencing training materials repository

This repository includes training materials on the analysis of high-throughput sequencing (HTS) data, on the following topics: Introduction to HTS, RNA-seq, ChIP-seq and variant calling analysis.
Materials have been annotated following the standards and guidelines proposed at the “Best practices...

Scientific topics: Bioinformatics, Data architecture, analysis and design

Keywords: High throughput sequencing analysis, Rna seq chip seq anayses, Variant calling

RNA-seq data analysis: from raw reads to differentially expressed genes

This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...

Scientific topics: Bioinformatics, Data architecture, analysis and design, RNA, Sequencing

Keywords: Bioinformatics, Differential expression, Ngs, Rna seq