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Home
About the facility
Bioinformatics Training
Home
Postgraduate Training
Postgraduate Training overview
Basic Skills and Programming
Basic Skills and Programming overview
An introduction to MATLAB for biologists
An introduction to solving biological problems with Python
An introduction to Unix shell
Data Carpentry in R
Data Science in Python
High Performance Computing: An Introduction
Introduction to R for Biologists
Introduction to Statistical Analysis
Introduction to working with UNIX and bash
Managing your Research Data
Reproducible Research with R
Statistical analysis using R
Statistics bootcamp using R
Statistics for Biologists in R
Databases and Services
Databases and Services overview
Bioinformatics resources for protein biology
Biological data analysis using InterMine (User Interface and API)
COSMIC: Integrating and interpreting the world’s knowledge of somatic mutations in cancer
EMBL-EBI: An introduction to sequence searching
EMBL-EBI: Bioinformatics resources for exploring disease related data
EMBL-EBI: Introduction to the European Nucleotide Sequence Archive
EMBL-EBI: European Variation Archive
EMBL-EBI: Interactions & Pathways
EMBL-EBI: Introduction to Interpro
EMBL-EBI: Network analysis with Cytoscape and PSICQUIC
EMBL-EBI: Ontologies in life sciences - examples from GO and EFO
EMBL-EBI: Protein Sequence Databases with UniProt
EMBL-EBI: Transcriptomics Data and Tools
Open Targets: Integrating genetics and genomics for disease biology and translational medicine
Using the Ensembl Genome browser
Specialized Training
Specialized Training overview
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
Bioimage analysis with Python
Bioinformatics for Biologists: An introduction to Data Exploration, Statistics, and Reproducibility
Bioinformatics for Principal Investigators
Biological Network Series
ChIP-seq and ATAC-seq analysis
Data Science: Machine learning applications for life sciences
Ensembl REST API workshop
Experimental Design
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 metagenomics
Introduction to scientific figure design
KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics
Molecular phylogenetics
Ontologies and ontology-based data analysis
Protein Structure Analysis
R object-oriented programming and package development
Snakemake workshop
Transcriptome Analysis for Non-Model Organisms
Using CellProfiler and CellProfiler Analyst to analyse biological images
Variant Discovery with GATK4
Eligibility Criteria and Charging Policy
Undergraduate Training
Undergraduate Training overview
About the facility
About the facility overview
How to find us
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Bioinformatics Training
About the facility
Postgraduate Training
Undergraduate Training
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