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- B.I.G. Summer 2015
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- RNA-seq III Analysis – De novo transcriptome assembly using Trinity
- W6: BS-Seq DNA Methylation Analysis with Hoffman2 and R
- W7: ChIP-seq Analysis
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- W10: Mathematical Modeling of Cell Signaling
- W11: Metagenomics Analysis with Python and R
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- W13: Genetic Analysis (VCF-Plink)
- W14: Intro to Modern Statistics with R
- W15: Bacterial Genomics
- W16: Library Prep for NGS
- W17: Machine Learning with Python
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- W19: Statistical Rigor in Genomics Data Analysis
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- W27: Systems biology of metabolism – workflows and resources for multi-omics data integration
- W28: Advanced Data Visualization w/ ggplot2
- W29: Demultiplexing QC/Good Practices — Hidden Surprises and Illumina Sequencing
- W30: Statistical Methods for Enhancing the Rigor in Single-cell RNA-seq Data Analysis
- W31: Spatial Transcriptomics
- W32: GitHub/Docker
- W33: Analysis of Electronic Health Records
- W34: Automated Machine Learning
- W35: Advanced Statistics: Regression Models and Statistical Rigor
- W36: Multi-Omics Integration and Network/Pathway Analysis using Mergeomics
- W37: Applications of Large Language Models
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