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Friday, 9 June
Domain-Specific Applications and Workflows
Today's tutorials will occur along four tracks running concurrently, each devoted to computational methods associated with different research domain. Each tab below corresponds to one of the tracks. The tutorials associated with each track are listed on the relevant tab.
Working With NGS Counts
Description coming soon!
Biomarker discovery is one of the most important tasks in both the clinic and in biomedical data science. However, clinicians and bioinformaticians often have different views about what makes a biomarker useful and how to interpret biomarker data. This session will focus on basic methods of biomarker discovery and assessment and will include discussions on linear and logistic regression, exploratory analysis, omics data analysis, and machine learning for biomarker discovery.
Join us for a hands-on workshop where we will provide a comprehensive overview of the XNAT neuroimaging data platform, in addition to showcasing the latest features in our data processing tools. During the workshop, we will guide you step-by-step through our documentation, while offering our best practices and demonstrating a live demo of our data processing pipeline alongside a new utility script for running on Oscar.
Whether you’re new to XNAT or an experienced user, this workshop is designed to help you stay up-to-date with our most recent changes to xnat-tools, which are now available to your lab. You’ll walk away with a deeper understanding of our xnat2bids pipeline and be ready to implement it in your lab’s workflow.
Join us for a hands-on workshop showcasing the various neuroimaging tools available on our high-performance cluster, Oscar. We will showcase a few of our BIDS Apps, such as fmriprep and mriqc, that carry out preprocessing and quality control checks on neuroimaging data. In addition, a few of our experienced users will be there to showcase their own workflows and tools on Oscar. They will walk you through their step-by-step processes and share their best practices, providing valuable insights into real-world applications of neuroimaging data processing.
Description coming soon!
We will cover the standard Seurat pre-processing pipeline for single cell RNA-seq. We will discuss working with Seurat objects, data QC and filtering, normalization, merging and integrating multiple data sets, data vizualisation, and differential expression testing.
This session is devoted to annotation resources and downstream analyses of NGS data using R and Bioconductor. We will cover different annotation file formats, public resources for annotation data, and leveraging those resources for downstream analyses in R.