Training materials
Licence: Creative Commons Attribution 4.0 International
and Authors: Anthony Bretaudeau or Anup Kumar or Eija Korpelainen or Jan Slifka or Samaha, Georgina (orcid: 0000-0003-0419-1476) or Wendi Bacon or bgruening
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hands-on tutorial
Fine tune large protein model (ProtTrans) using HuggingFace
• beginnerStatistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning -
hands-on tutorial
Filter, plot and explore single-cell RNA-seq data with Scanpy (Python)
• beginner10x Python Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Generating a single cell matrix using Alevin and combining datasets (bash + R)
• beginner10x Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Inferring single cell trajectories with Scanpy
• beginner10x Single Cell paper-replication -
hands-on tutorial
Creating an Official Gene Set
• beginnerGenome Annotation apollo2 gmod work-in-progress -
slides
Introduction to Genome Annotation
•• intermediateGenome Annotation -
WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
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WORKSHOP: Unlocking nf-core - customising workflows for your research
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WEBINAR: Pro tips for scaling bioinformatics workflows to HPC
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WORKSHOP: Make your bioinformatics workflows findable and citable