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Specialized Training Courses

These courses aim to familiarise the participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches for specific types of biological data.

The analysis of high-throughput sequencing data is the most popular topic, as reflected by the wide range of courses covering this subject (e.g. RNA-seq, ChIP-seq, variation, DNA methylation, whole exome sequencing analysis) but the spectrum of training courses on offer is much wider.

Title
An Introduction to Data Exploration, Experimental Design, and Biomarker Expression Analysis using JMP Software Tools
Analysis of bulk RNA-seq data
Analysis of DNA methylation using sequencing
Analysis of single-cell RNA-seq data
Bioinformatics for Biologists: An introduction to Data Exploration, Statistics, and Reproducibility
Bioinformatics for Principal Investigators
ChIP-seq and ATAC-seq analysis
Data Science: Machine learning applications for life sciences
Ensembl REST API workshop
Exploring, visualising and analysing proteomics data in R
Extracting biological information from gene lists
Image analysis for biologists (3-day)
Introduction to Machine Learning
Introduction to metabolomics and its application in life-sciences
Introduction to scientific figure design
Molecular phylogenetics
Ontologies and ontology-based data analysis
Protein Structure Analysis
R object-oriented programming and package development
Transcriptome Analysis for Non-Model Organisms
Using CellProfiler and CellProfiler Analyst to analyse biological images
Variant Discovery with GATK4