Containers & Workflow pipelines workshop
The first day (20 May 2021) is dedicated to Containers (Docker & Singularity) which are great tools for code portability and reproducibility of your analysis. You will learn how to use containers and how to build a container from scratch, share it with others and how to re-use and modify...
Keywords: Containers, Nextflow
Resource type: Training materials
Containers & Workflow pipelines workshop
https://nextflow-workshop.readthedocs.io/en/latest/
http://tess.elixir-uk.org/materials/containers-workflow-pipelines-workshop
The first day (20 May 2021) is dedicated to Containers (Docker & Singularity) which are great tools for code portability and reproducibility of your analysis. You will learn how to use containers and how to build a container from scratch, share it with others and how to re-use and modify existing containers. After an extensive explanation on Docker containers, at the end of the first day, Singularity will be highlighted as well.
On the second day (27 May 2021), you will learn how to use Nextflow for building scalable and reproducible bioinformatics pipelines and running them on a personal computer, cluster and cloud. Starting from the basic concepts we will build our own simple pipeline and add new features with every step, all in the new DSL2 language.
Alexander Botzki
Tuur Muyldermans
Containers, Nextflow
bioinformaticians
Introduction to Nextflow workshop
workshop materials (mainly) in DSL2 aiming to get familiar with the Nextflow syntax by explaining basic concepts and building a simple RNAseq pipeline. Highlights also reproducibility aspects with adding containers (docker & singularity). Slides available...
Scientific topics: Workflows
Keywords: Nextflow, DSL2
Resource type: Presentation, course materials
Introduction to Nextflow workshop
https://github.com/vibbits/nextflow-jnj
http://tess.elixir-uk.org/materials/introduction-to-nextflow-workshop
workshop materials (mainly) in DSL2 aiming to get familiar with the Nextflow syntax by explaining basic concepts and building a simple RNAseq pipeline. Highlights also reproducibility aspects with adding containers (docker & singularity). Slides available [here](https://github.com/vibbits/nextflow-jnj/blob/master/presentation/slidedeck.pdf)
Tuur Muyldermans
Workflows
Nextflow, DSL2
bioinformaticians
Introduction to Protein Structure Analysis
This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure....
Operations: Visualisation
Keywords: Protein structure visualisation
Resource type: e-learning
Introduction to Protein Structure Analysis
https://elearning.bits.vib.be/courses/protein-structure-analysis/
http://tess.elixir-uk.org/materials/introduction-to-protein-structure-analysis
This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure. Different hands-on exercises will allow you to compare the structure of homologues, to predict a structural model of proteins (without any structure information) and to find homologous structures. We will use online tools to quantify various interactions in the structures.
## Objectives
* Get to know the data generated from protein structure determination experiments (high-resolution NMR spectroscopy, X-ray crystallography, electron microscopy, ...) and where to get it.
* Display protein structure data and compare structures, through the use of Yasara.
* Create high-quality graphical representations of the structures.
* Calculate the effect of mutations on the stability of your protein.
Alexander Botzki
Joost Van Durme
Janick Mathys
Protein structure visualisation
Life Science Researchers
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 management, Data architecture, analysis and design
Keywords: Data analysis
Resource type: Presentation
Reproducible data analysis with RStudio, github and Rmarkdown
https://osf.io/qrt95/
http://tess.elixir-uk.org/materials/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
Tuur Muyldermans
Data management
Data architecture, analysis and design
Data analysis
life scientists
Valorisation and intellectual properties in research data management
### Valorisation and IP
* Basics of Tech Transfer and IPR from an academic perspective
* Insights as to:
* Why is it important when handling and managing research data?
* How do IP rights fit in FAIR data principles
* When to safeguard data for proprietary protection?
* Where/how...
Scientific topics: Data management
Keywords: intellectual property protection
Resource type: Presentation
Valorisation and intellectual properties in research data management
https://osf.io/dht3z/
http://tess.elixir-uk.org/materials/valorisation-and-interlectual-properties-in-research-data-management
### Valorisation and IP
* Basics of Tech Transfer and IPR from an academic perspective
* Insights as to:
* Why is it important when handling and managing research data?
* How do IP rights fit in FAIR data principles
* When to safeguard data for proprietary protection?
* Where/how share and publish data if valorisation is in scope?
Griet Den Herder
Data management
intellectual property protection
life scientists
Preserve, publish and share your data
- why preserve data
- what data should be preserved
- how share data
- where to deposit your data
- Fairsharing, re3data
- ELIXIR Core Resources
- Data Formats
- Generic archives
Scientific topics: Data management, Data submission, annotation, and curation
Keywords: data formats, ELIXIR Core resources, FAIR data submission
Resource type: Presentation
Preserve, publish and share your data
https://osf.io/whj7t/
http://tess.elixir-uk.org/materials/preserve-publish-and-share-your-data
- why preserve data
- what data should be preserved
- how share data
- where to deposit your data
- Fairsharing, re3data
- ELIXIR Core Resources
- Data Formats
- Generic archives
Alexander Botzki
Data management
Data submission, annotation, and curation
data formats, ELIXIR Core resources, FAIR data submission
life scientists
Reusing existing data
- how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub)
- licenses
- datasets as first-class research products
- research software as first-class research products
- data citations
Scientific topics: Data management
Keywords: data licenses, software licenses, data journal
Resource type: Presentation
Reusing existing data
https://osf.io/syx4m/
http://tess.elixir-uk.org/materials/reusing-existing-data
- how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub)
- licenses
- datasets as first-class research products
- research software as first-class research products
- data citations
Alexander Botzki
Data management
data licenses, software licenses, data journal
life scientists
Research Data Management in Life Sciences
The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences.
Scientific topics: Data management
Resource type: Presentation, Vignette, Video
Research Data Management in Life Sciences
https://osf.io/fpvgy/
http://tess.elixir-uk.org/materials/research-data-management-in-life-sciences
The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences.
Alexander Botzki
Laura Standaert
Tuur Muyldermans
Hanne Elsen
Paula Oset
Thomas Van de Velde
Flora D'Anna
Nele Pauwels
Griet Den Herder
Jan Lammertyn
Data management
Life Science Researchers
Data Management and Writing a Data Management Plan
Writing a Data Management Plan
A good data management plan is crucial for any scientist and researcher. In this course, you will learn how to write one. You will find out how you can prepare, handle and share your research data.
Scientific topics: Data management
Resource type: e-learning
Data Management and Writing a Data Management Plan
https://elearning.bits.vib.be/courses/writing-a-data-management-plan/
http://tess.elixir-uk.org/materials/data-management-and-writing-a-data-management-plan
Writing a Data Management Plan
A good data management plan is crucial for any scientist and researcher. In this course, you will learn how to write one. You will find out how you can prepare, handle and share your research data.
Alexander Botzki
Geert Bonamie
Data management
Scop3P
Scop3P is available as a web-interface for PTM visualisation and can be accessed at https://iomics.ugent.be/scop3p
Search Scop3P with Swiss-Prot accession/ID, protein name, PDB ID, ProteomeXchange ID or by keywords
Scop3P
http://genesis.ugent.be/uvpublicdata/Scop3p/Scop3P_manual.pdf
http://tess.elixir-uk.org/materials/scop3p
Scop3P is available as a web-interface for PTM visualisation and can be accessed at https://iomics.ugent.be/scop3p
Search Scop3P with Swiss-Prot accession/ID, protein name, PDB ID, ProteomeXchange ID or by keywords
Pathmanaban Ramasamy
Probabilistic programming with (R)Stan
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...
Scientific topics: Statistics and probability
Probabilistic programming with (R)Stan
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/358-probabilistic-programming-with-r-stan
http://tess.elixir-uk.org/materials/probabilistic-programming-with-r-stan
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 implemented, improved, and critizised in a flexible, explicit and transparent manner, and the analysis can be supported with prior information about the data.
This 1-day course provides an introduction to Bayesian/probabilistic models. We will implement standard linear models based on the rstanarm package of the R statistical programming environment and readily available example data sets. The workshop is an ideal opportunity to familiarize yourself with the basic ideas in probabilistic modeling such as prior information, likelihood, model criticism and validation, as well as some of the available tools. At the end, you should be able to implement basic probabilistic models yourself, and understand their relative advantages and pitfalls compared to their classical alternatives.
Leo Lahti
Statistics and probability
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
Image Ethics and Poster Design
The image ethics part handles on the theoretical aspects of image manipulation, the mistakes people make and how to avoid image fraud. VIB has guidelines for acceptable scientific image manipulations. Not all manipulations are scientifically correct. There are manipulations that fall within the...
Image Ethics and Poster Design
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/360-image-ethics-and-poster-design
http://tess.elixir-uk.org/materials/image-ethics-and-poster-design
The image ethics part handles on the theoretical aspects of image manipulation, the mistakes people make and how to avoid image fraud. VIB has guidelines for acceptable scientific image manipulations. Not all manipulations are scientifically correct. There are manipulations that fall within the scope of scientific misconduct, because they result in misrepresentation of the data. Such misrepresentation makes it impossible for others to interpret the data correctly, or worse, leads to conclusions that are not correct. The second part of this course deals with poster design. Scientific posters are a resume of a piece or timespan of research on one square meter of paper. They are best compared to slides for oral presentations, not a written document. Posters can’t convey detailed evidence like scientific articles, it must visualize a message on its own. When standing a meter away from a poster you hardly feel like reading much text, especially when the author/designer stands next to it. A poster must bring that message without requiring oral explanation, but with as little text as possible.
Prerequisites
Participants must have experience with GIMP and Inkscape.
Schedule
See the TRAINING AT VIB website for a detailed schedule of this training.
Training material
Not available
Links
Not available
Scientific topics
Image data
Target audience
Life Science Researchers, PhD students, post-docs, beginner bioinformaticians
Christof De Bo
Image
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
Analysis of metabolome data
This training will focus on the processing of raw data obtained via either Gas Chromatography- (GC) or Liquid Chromatography- (LC) mass spectrometry (MS). In addition, based on the comparative analysis between two sample sets (e.g. control vs treatment), the subsequent identification of...
Scientific topics: Metabolomics
Analysis of metabolome data
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/356-analysis-of-metabolome-data
http://tess.elixir-uk.org/materials/analysis-of-metabolome-data
This training will focus on the processing of raw data obtained via either Gas Chromatography- (GC) or Liquid Chromatography- (LC) mass spectrometry (MS). In addition, based on the comparative analysis between two sample sets (e.g. control vs treatment), the subsequent identification of differential metabolites will be introduced. Afterwards, the trainee should be able to perform independently a comparative analysis of raw metabolome data and to pinpoint the well-known metabolites in the chromatogram.
Kris Morreel
Metabolomics
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
Advanced FlowJo training
The training will start with an introduction to FlowJo v10 but there will be enough details and features to make it worth even for advanced users. In the afternoon, advanced tools in FlowJo and new plugins (tSNE, SPADE) will be presented showing you how to work in high...
Advanced FlowJo training
https://www.bits.vib.be/training-list/111-bits/training/previous-trainings/359-advanced-flowjo-training
http://tess.elixir-uk.org/materials/advanced-flowjo-training
The training will start with an introduction to FlowJo v10 but there will be enough details and features to make it worth even for advanced users. In the afternoon, advanced tools in FlowJo and new plugins (tSNE, SPADE) will be presented showing you how to work in high dimensionality.
Prerequisites
Participants must have experience with FlowJo.
Schedule
See the TRAINING AT VIB website for a detailed schedule of this training.
Training material
Not available
Links
Not available
Scientific topics
FlowJo
Target audience
Life Science Researchers, PhD students, post-docs, beginner bioinformaticians
Christoph Freier (FlowJo)
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
A tour of machine learning - classification
Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses,...
Scientific topics: Machine learning
A tour of machine learning - classification
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/357-a-tour-of-machine-learning-classification
http://tess.elixir-uk.org/materials/a-tour-of-machine-learning-classification
Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses, gene/protein annotation, drug design, image recognition, text mining and many others. However, building successful machine learning models requires a substantial amount of “black art” that is hard to find in textbooks. This course is an interactive Jupyter Notebook (Python) that will teach you how to build successful machine learning models. No background in machine learning is assumed, just a keen interest.
Sven Degroeve
Machine learning
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
Introduction to Biopython
Biopython is the best-known Python library to process biological data. This training is aimed to empower you to use Biopython to make your research more efficient.
The first day of the training is to give an overview of Biopython. You are going to start with your first steps in Biopython on the...
Scientific topics: Software engineering
Introduction to Biopython
https://www.bits.vib.be/training-list/111-bits/training/previous-trainings/176-biopython
http://tess.elixir-uk.org/materials/introduction-to-biopython-8ccf2441-bd7d-46f2-84f8-c2b123844a23
Biopython is the best-known Python library to process biological data. This training is aimed to empower you to use Biopython to make your research more efficient.
The first day of the training is to give an overview of Biopython. You are going to start with your first steps in Biopython on the command line. Afterwards you will take a tour of the most important components: sequences, NCBI queries, BLAST, trees, and 3D structures. You will try each of these modules on practical examples. Please don't hesitate to ask questions about Python basics or particular data formats (e.g. XML or NGS data).
The second day of the training is to broaden your perspective: What other features does the library have? How can you use the documentation effectively? What is Biopython not capable of? What can I do to visualize my data? Are there alternatives? If you have your own data that you would like to work on with Biopython in more detail, there is room for that.
For us, the most important thing is to identify concrete Python modules and functions that help you to get your research done.
Participants are encouraged to submit a description of their research topic and/or the questions they would like to answer with Biopython. Additionally, participants can bring their own data that they would like to process in Python to the training.
Kristian Rother
Software engineering
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
2017-10-09
Electronic Lab Notebook Introduction - Ghent
The Training consists of two parts:
Introduction
Access ways to your notebook, ELN installation instructions and house rules, where to find documentation and get support
Hands-on-demo
Creating notebooks/experiments, importing and exporting (MS Office) files, sharing data, using templates,...
Electronic Lab Notebook Introduction - Ghent
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/296-intro-eln-ghent
http://tess.elixir-uk.org/materials/electronic-lab-notebook-introduction
The Training consists of two parts:
Introduction
Access ways to your notebook, ELN installation instructions and house rules, where to find documentation and get support
Hands-on-demo
Creating notebooks/experiments, importing and exporting (MS Office) files, sharing data, using templates, advanced searching, printing, tips and tricks
Christof De Bo
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Metagenomics
This training will start with the presentation of a 16S pipeline (psbweb05.psb.ugent.be/lotus/) in a linux environment, using a minimal amount of linux commands. This will enable the preprocessing of the data going from raw reads to taxonomic tables and phylogenetic trees.
The 2nd part of the...
Metagenomics
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/329-metagenomics
http://tess.elixir-uk.org/materials/metagenomics
This training will start with the presentation of a 16S pipeline (psbweb05.psb.ugent.be/lotus/) in a linux environment, using a minimal amount of linux commands. This will enable the preprocessing of the data going from raw reads to taxonomic tables and phylogenetic trees.
The 2nd part of the training will give an overview of numerical ecology and takes part entierly in R.
Falk Hildebrand (EMBL)
post-docs
PhD students
beginner bioinformaticians
Life Science Researchers
2016-04-22
2016-08-31
RNA-Seq analysis for differential expression in GenePattern
We will investigate the following items:
Quality control of the sequence reads to detect biases or contaminating adapters
Mapping of the reads to the reference genome with use of a transcript database model
Quality control of the mapping results
Adjusting the mapping data to...
RNA-Seq analysis for differential expression in GenePattern
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/328-rna-seq-analysis-genepattern
http://tess.elixir-uk.org/materials/rna-seq-analysis-for-differential-expression-in-genepattern
We will investigate the following items:
Quality control of the sequence reads to detect biases or contaminating adapters
Mapping of the reads to the reference genome with use of a transcript database model
Quality control of the mapping results
Adjusting the mapping data to compensate for artefacts like duplicates
Calculate transcript counts usable for differential expression and merging of count tables
Computing differential expression using EdgeR and DESeq2
The code pieces used during the training are made available through our Wiki as well as detailed results and can be copied and adapted for own user needs with minimal edits. Key results have been saved to our server and can be downloaded to fully reproduce the training.
Janick Mathys and Guy Bottu
Life Science Researchers
PhD students
beginner bioinformaticians
post-docs
2016-04-22
2017-10-09
Custom training: Ingenuity Pathway Analysis
The aim of this training is to teach you how to use Ingenuity Pathway Analysis (IPA) software on your own data. This can be for various applications:
Creating and modifying biological networks e.g. which genes are involved in a certain disease
Mapping data to biological processes,...
Scientific topics: Microarray experiment, Proteomics, Protein interactions, Metabolomics
Custom training: Ingenuity Pathway Analysis
https://www.bits.vib.be/training-list/110-bits/training/custom-trainings/235-custom-ingenuity-pathway-analysis-training
http://tess.elixir-uk.org/materials/custom-training-ingenuity-pathway-analysis
The aim of this training is to teach you how to use Ingenuity Pathway Analysis (IPA) software on your own data. This can be for various applications:
Creating and modifying biological networks e.g. which genes are involved in a certain disease
Mapping data to biological processes, networks and pathways
mapping a list of genes/proteins/chemicals
mapping quantitative data e.g. microarray/proteomics/metabolomics data
High quality visualisation of biological networks and pathways
Assessing the biological significance of pathways in certain physiological conditions e.g. detecting overrepresented pathways in diseases
Stéphane Plaisance
Microarray experiment
Proteomics
Protein interactions
Metabolomics
Life Science Researchers
post-docs
PhD students
2016-04-22
2016-09-26
Custom training: OpenRefine
The aim of this training is to help you use OpenRefine on your own data. This can contain subjects like:
load data files, import and parse data files from a URL
clean data files: rename columns, transform and edit cells, split multivalue cells...
transform data from one format to another:...
Scientific topics: Data quality management
Custom training: OpenRefine
https://www.bits.vib.be/training-list/110-bits/training/custom-trainings/236-custom-openrefine-training
http://tess.elixir-uk.org/materials/custom-training-openrefine
The aim of this training is to help you use OpenRefine on your own data. This can contain subjects like:
load data files, import and parse data files from a URL
clean data files: rename columns, transform and edit cells, split multivalue cells...
transform data from one format to another: e.g. merge data from two files using a column that is common to both data files, create new rows based on columns and vice versa...
export cleaned, transformed data
data manipulation pipelines
data dashboards
Alexander Botzki
Data quality management
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Introduction to gene regulation
This course presents a comprehensive overview of the principles and applications of studying eukaryotic gene regulation. The course combines lectures with hands-on exercises in which the participants learn to apply these principles to real data. The course will be based on freely available data...
Scientific topics: Molecular biology, Gene regulation, Gene expression
Introduction to gene regulation
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/173-introduction-to-gene-regulation
http://tess.elixir-uk.org/materials/introduction-to-gene-regulation
This course presents a comprehensive overview of the principles and applications of studying eukaryotic gene regulation. The course combines lectures with hands-on exercises in which the participants learn to apply these principles to real data. The course will be based on freely available data and software.
Pieter De Bleser
Molecular biology
Gene regulation
Gene expression
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Initiation GIMP and Inkscape - Leuven
Introduction
Bitmap vs vector images
Image resolution
PPI and DPI
File formats
VIB guidelines on image editing
GIMP
prepare images for publication
Installation and documentation
User Interface
Import image files
Image Properties
Selection tools and options
Transforming...
Initiation GIMP and Inkscape - Leuven
https://www.bits.vib.be/training-overview/initiation-gimp-inkscape
http://tess.elixir-uk.org/materials/initiation-gimp-and-inkscape-leuven
Introduction
Bitmap vs vector images
Image resolution
PPI and DPI
File formats
VIB guidelines on image editing
GIMP
prepare images for publication
Installation and documentation
User Interface
Import image files
Image Properties
Selection tools and options
Transforming options
Scaling and cropping
Using Layers
Contrast and brightness
Undo/redo
Image print size
Saving/Exporting images
Exercises
Inkscape
annotate plots and images, create figures (diagrams, schemes, ...), design posters
Installation and documentation
User interface
Import image/vector files
Drawing lines
Creating paths
Drawing objects
Fill and stroke
Aligning and distributing objects/nodes
Z-order
Adding text and text options
Path effects
Live path effects
Diagrams
Exporting images
Exercises
Christof De Bo
Life Science Researchers
PhD students
post-docs
2016-04-22
2016-06-15
Initiation GIMP and Inkscape
Introduction
Bitmap vs vector images
Image resolution
PPI and DPI
File formats and compression
VIB guidelines on image editing
GIMP
prepare images for publication
Installation and documentation
User Interface
Import image files
Image Properties
Selection tools and options
Transforming...
Initiation GIMP and Inkscape
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/316-gimp-inkscape-ghent
http://tess.elixir-uk.org/materials/initiation-gimp-and-inkscape-ghent
Introduction
Bitmap vs vector images
Image resolution
PPI and DPI
File formats and compression
VIB guidelines on image editing
GIMP
prepare images for publication
Installation and documentation
User Interface
Import image files
Image Properties
Selection tools and options
Transforming options
Scaling and cropping
Using Layers
Contrast and brightness
Undo/redo
Image print size
Saving/Exporting images
Exercises
Inkscape
annotate plots and images, create figures (diagrams, schemes, ...), design posters
Installation and documentation
User interface
Import image/vector files
Drawing lines
Creating paths
Drawing objects
Fill and stroke
Aligning and distributing objects/nodes
Z-order
Adding text and text options
Path effects
Live path effects
Diagrams
Exporting images
Exercises
2017-10-09
Electronic Lab Notebook Introduction - Leuven
The Training consists of two parts:
Introduction
Access ways to your notebook, ELN installation instructions and house rules, where to find documentation and get support
Hands-on-demo
Creating notebooks/experiments, importing and exporting (MS Office) files, sharing data, using templates,...
Electronic Lab Notebook Introduction - Leuven
https://www.bits.vib.be/training-overview/lectronic-lab-notebook-introduction-in-leuven
http://tess.elixir-uk.org/materials/electronic-lab-notebook-introduction-leuven
The Training consists of two parts:
Introduction
Access ways to your notebook, ELN installation instructions and house rules, where to find documentation and get support
Hands-on-demo
Creating notebooks/experiments, importing and exporting (MS Office) files, sharing data, using templates, advanced searching, printing, tips and tricks
Christof De Bo
Life Science Researchers
PhD students
post-docs
2016-04-22
2016-06-15
Basic statistics theory
This training gives an introduction to the use of statistics for basic analyses of life sciences data. This training is a prerequisite introduction to a series of hands-on trainings on the statistical analysis of life sciences data: 'Basic statistics in R' and 'Basic statistics in Graphpad...
Basic statistics theory
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/272-basic-statistics-theory
http://tess.elixir-uk.org/materials/basic-statistics-theory
This training gives an introduction to the use of statistics for basic analyses of life sciences data. This training is a prerequisite introduction to a series of hands-on trainings on the statistical analysis of life sciences data: 'Basic statistics in R' and 'Basic statistics in Graphpad Prism'. If you want to follow one of these trainings, you have to follow this introduction. Ít will give you all the theoretical background that you need.
Those that already have a strong statistical background may register directly for the 'Basic statistics in R, part II' training.
Janick Mathys
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Analyzing flow cytometry data using FlowJo
Flowjo version10 is a newly designed version of the famous Flowjo software. In contrast with previous versions (iOS only), version 10 is now a multi-platform software tool (Windows, iOS, Linux). It now has a very intuitive user interface designed to analyze your data in a very practical and fast...
Analyzing flow cytometry data using FlowJo
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/242-analyzing-flow-cytometry-data-using-flowjo
http://tess.elixir-uk.org/materials/analyzing-flow-cytometry-data-using-flowjo
Flowjo version10 is a newly designed version of the famous Flowjo software. In contrast with previous versions (iOS only), version 10 is now a multi-platform software tool (Windows, iOS, Linux). It now has a very intuitive user interface designed to analyze your data in a very practical and fast way.
The training will be focused on getting familiar with all the tools available within the software.
Gert Van Isterdael
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Basic bioinformatics concepts, databases and tools
During this 3-day introduction to bioinformatics, BITS will take you along a guided tour that covers all basic aspects of biological sequence analysis. This workshop is an ideal opportunity to get familiar with bioinformatics and its many faces! At the end, you should be able to start tackling...
Scientific topics: Sequence analysis
Basic bioinformatics concepts, databases and tools
https://www.bits.vib.be/training-list/111-bits/training/previous-trainings/122-basic-bioinformatics
http://tess.elixir-uk.org/materials/basic-bioinformatics-concepts-databases-and-tools
During this 3-day introduction to bioinformatics, BITS will take you along a guided tour that covers all basic aspects of biological sequence analysis. This workshop is an ideal opportunity to get familiar with bioinformatics and its many faces! At the end, you should be able to start tackling any basic bioinformatics problem: how to obtain relevant information about your gene, you know where to get the required sequence data, manipulate the sequences, and how basic software and algorithms function so you can fine-tune it in order the get the most out of your analysis.
Janick Mathys
Sequence analysis
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Introductory statistics in GraphPad Prism
This training gives an introduction to the use of statistics for basic analyses of life sciences data. The theoretical background obtained in the Basic statistics theory training will be applied in a hands-on session on real-life data using the statistical software GraphPad...
Introductory statistics in GraphPad Prism
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/172-introductory-statistics-in-graphpad-prism
http://tess.elixir-uk.org/materials/introductory-statistics-in-graphpad-prism
This training gives an introduction to the use of statistics for basic analyses of life sciences data. The theoretical background obtained in the Basic statistics theory training will be applied in a hands-on session on real-life data using the statistical software GraphPad Prism.
BITS distributes the software for free to VIB scientists, for more information you can visit the GraphPad Prism page on the BITS web site. This is the reason why the training is limited to VIB scientists.
Janick Mathys
Life Science Researchers
PhD students
post-docs
2016-04-22
2017-10-09
Introduction to Linux for bioinformatics
This training is intended for all Linux novices who want to learn the basics of Linux without getting too much technical details.
This hands-on training will show you how to effectively use Linux, a free operating system. Bioinformatics depends heavily on Linux-based computers and software. A lot...
Introduction to Linux for bioinformatics
https://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/124-linux-for-bioinformatics
http://tess.elixir-uk.org/materials/introduction-to-linux-for-bioinformatics
This training is intended for all Linux novices who want to learn the basics of Linux without getting too much technical details.
This hands-on training will show you how to effectively use Linux, a free operating system. Bioinformatics depends heavily on Linux-based computers and software. A lot of good scientific software is written specifically for Linux/Unix. Additionally, Linux has most popular programming languages (e.g.Python, Perl, C) already installed and ready to use! Data management happens swiftly with the dedicated text manipulation tools and file system properties. This training will teach you all you need to know to swiftly start using Linux, be it on the server of your department, or on your own computer (even if you're already running Windows or Mac OS).
Prior to the training session, you will receive a poll to ask you your personal goals by following this training sesion. Depending on the outcome, the schedule will be adjusted.
Christof De Bo
Life Science Researchers
PhD students
beginner bioinformaticians
2016-04-22
2017-10-09