This material is part of an follow up FAIR data stewardship workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)

FAIR and data stewardship - November 3th, 2021
Organiser: Dutch Techcentre For Life Sciences, DTL
Setup: Virtual meeting...

There are eight online units in this course and one set of offline (downloadable) data handling tutorials that will help you:

Understand the nature of research data in a variety of disciplinary settings
Create a data management plan and apply it from the start to the finish of your research...

This record includes training materials associated with the Australian BioCommons  workshop ‘Refining genome annotations with Apollo’. This workshop took place on 17 November 2021.

Workshop description 

Genome annotation is crucial to defining the function of genomic sequences. This...

This Zenodo record includes training materials associated with the Australian BioCommons webinar ‘Making sense of phosphoproteomics data with Phosphomatics’. This webinar took place on 2 June 2021.

Mass spectrometry-based phosphoproteomics is one of the most powerful tools available for...

This is an image processing practical for students with an interest in analysing biologically derived images. It is written in the language python and utilises jupyter notebook for annotation and visualisation of the code. The practical is beginner level, although some knowledge of python is...

Software and technology underpin modern science. There is an increasing demand for more sophisticated open source software, matched by an increasing willingness for researchers to openly collaborate on new tools. These developments come with a specific ethical, legal and economic challenges that...

In this workshop we focus on three aspects of FAIR data stewardship: Data sharing, publishing and archiving. Many scientists have an insufficient overview over data services, roles and their responsibilities towards safe data sharing, archiving and publishing. Shedding light on these roles helps...

Slides for the "Data protection, working with sensitive human data in research." session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg.

Slides for the "Introduction to FAIR Principles" session of the "Research Data Manegement and Stewardship Training" held regularly by ELIXIR-Luxembourg.

Slides for the Data Management Plannning session of the "Research Data Manegement and Stewardship Training" held regularly by ELIXIR-Luxembourg

Data Stewardship Wizard brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...

This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data...

Genetic and genomic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic (and genomic) data. In this course we will take a practical approach to the...

This course is targeted for Biostatistical techniques often employed in analytical tools for high throughput data and multivariate data. Participants can expect to attend a thorough set of lectures that will reveal the conceptual frameworks that are needed to understand the methods. Extensive...

3C-based methods, such as Hi-C, produce a huge amount of raw data as pairs of DNA reads that are spatially close in the cell nucleus. Overall, these interaction matrices have been used to study how the genome folds within the nucleus, that is one of the most fascinating problems in modern...

Python is an object-oriented programming language that is ideal for biological data analysis. The course will start from zero knowledge, and will introduce the participants to all the basic concepts of Python such as calculating, organizing data, reading and writing files, program logic and...

This is an entry level course aimed that those with a reasonable biological background but no significant experience with bioinformatics. The course is broadly based around a series of exercises in which a combination of simple analytical tools and reference to publicly available databases is...

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial...

Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering peptide and protein identification, quantification,...

Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation...

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...

This is an entry level course aimed that those with a reasonable biological background but no significant experience with bioinformatics. The course is broadly based around a series of exercises in which a combination of simple analytical tools and reference to publicly available databases is...

This is an entry level course aimed that those with a reasonable biological background but no significant experience with bioinformatics. The course is broadly based around a series of exercises in which a combination of simple analytical tools and reference to publicly available databases is...

Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering peptide and protein identification, quantification,...

Genetic and genomic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic (and genomic) data. In this course we will take a practical approach to the...

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. For this edition of the course, we will also...

Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation...

Quantitative proteomics by mass spectrometry has become an essential tool for multi-omics studies aiming at answering important biological questions in a system-wide perspective. Proteomics data contain rich and deep information that can become challenging to extract, interpret, and interface...

Under the subtitle “Take your research from the bench to the community by making your models available as a web service”, attendees learned how to use the Jaqpot suite and python to go from data to model, starting from a common CSV file.

Jaqpot is a computational platform for in silico...

This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm, using the tidybulk, tidyHeatmap and tidyverse packages.