Training materials
Difficulty level: Intermediate
and Target audience: Computational biologists or beginner bioinformaticians or bioinformaticians or database managers or statisticians
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slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
Webinar, Training materials
Exploring structural and functional annotations of IDPs with DisProt
•• intermediateCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Training materials
Containers & Workflow pipelines workshop
•• intermediateContainers Nextflow -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Tutorial, Documentation
BioSimulators tutorial and help
•• intermediateSystems biology Computational biology Simulation experiment Modelling and simulation Modeling biomodel dynamic simulations COMBINE OMEX SED-ML SBML BNGL -
Documentation
BioSimulations tutorial and help
•• intermediateComputational biology Systems biology Simulation experiment Visualisation Modelling and simulation SystemsBiology ComputationalBiology Computational modelling Modeling Biomodelling Model Kinetic modeling SED-ML COMBINE -
course materials
Introduction to Persistent Identifiers
•• intermediateData management system relevant metadata for data PID metadata Python API pyhandle Persistent Identifiers -
course materials
Single cell RNA-seq data analysis with R
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
course materials
Single-cell RNA-seq data analysis with R 2022
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq