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Foundational skills overview Data analysis in Python Data analysis in R Fundamentals of Python Programming Reproducible Research Scientific Figure Design AI Prompting for Biologists

Bioinformatics

Bioinformatics overview Building Computational Pipelines with Nextflow Bulk RNA-seq analysis Expression Proteomics Analysis in R Extracting Biological Information from Gene Lists Foundations of Phylogenetic Inference Introduction to the Unix Command Line Managing Bioinformatics Software and Pipelines Metabolomics Data Analysis Metagenomics Data Analysis Protein Structure Prediction and Analysis Quality Control in Sequencing Experiments Single-cell RNA-seq analysis Spatial Transcriptomics Analysis Working on HPC clusters Working with Bacterial Genomes

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Applied Statistics overview Bayesian inference Core statistics Generalised linear models Linear mixed effects models

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Machine Learning overview Principles of Machine Learning

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Kasia Kania

Kasia Kania

Staff Scientist at Wellcome Sanger Institute

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Wellcome Sanger Institute

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2021 - present:

Single-cell RNA-seq analysis - Guest Lecturer

Centre for Research Informatics Training

Contact Information

University of Cambridge Department of Genetics Downing Street, Cambridge CB2 3EH

bioinfotraining@bio.cam.ac.uk

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