Over the course of five days, world-class researchers provided instruction around the fundamentals and complexities of omics data.
Day 1: Data Science Tools, Workflows, and Best Practices
On the first day of the 2023 EMSL Summer School, researchers presented on data science tools, workflows, and communication.
Data Science Workflows
Data Science Communication
EMSL Data Science Tools
Day 2: Data Science 101
Presentations on the second day of the 2023 EMSL Summer School focused on experimental design, missing data and imputation, unsupervised learning.
Missing Data and Imputation
Day 3: Proteomics
On the third day of the 2023 EMSL Summer School, presentations centered around types of proteomics, types of statistical processing for proteomics data, and biological interpretation.
Types of Proteomics
Types of Statistical Processing for Proteomics Data
Day 4: Transcriptomics
On the fourth day of the 2023 EMSL Summer School, speakers presented on pre-processing of transcriptomics data, statistical models for transcriptomics data, and post-differential expression analyses.
Express Yourself! Transcriptomics from sample to counts
Pre-processing of Transcriptomics Data
Statistical Models for Transcriptomics Data
Post-differential expression analyses (or how to interpret that big ole pile of data you’ve just generated)
Day 5: Integration Methods and Machine Learning
On the fifth day of the 2023 EMSL Summer School, researchers presented an introduction to machine learning for biological applications, proteomics and image analysis, multi-omics integration, and a case study of mixomics.