Thursday, March 28, 2024, 1-2:30 p.m.
Online
Register for the webinar through QIAGEN
This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations at multiple levels such as transcriptome, proteome, and metabolome.
Wednesday, March 6, 2024, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
Register for IPA and Correlation Engine – A Comprehensive Approach to Pathway Enrichment Analysis
In this engaging workshop, you will learn how to analyze differentially expressed genes (DEG) associated with genome-scale experiments, such as RNA-Seq gene expression studies, and gain mechanistic insights using Ingenuity Pathway Analysis and Correlation Engine software.
Thursday, March 7, 2024, noon-2 p.m.
Online
Register for All of Us Researcher Workbench – EHR and Survey Data Analysis
In this workshop, you will learn how to create a project using concept sets, datasets, and workbooks, and discover how to use code snippets to accomplish more advanced tasks.
Wednesday, February 21, 2024, 1-4 p.m.
Hybrid Session: Attend online via Zoom or in person in the Falk Library Classroom
Register for Transcriptome Analysis – From GEO Data Mining to Submission
A workshop designed to equip participants with essential skills in locating and analyzing gene expression studies using the Gene Expression Omnibus (GEO) repository.
Tuesday, February 27, 2024, 1-2:30 p.m.
Online
Register for Data Wrangling in R
This is a flipped class covering the more advanced topics in R programming for data analysis and the second part of a three-part series: Introduction to R; Data Wrangling in R, and Data Visualization in R.
Tuesday, February 6, 2024, noon-2 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
Register for All of Us Researcher Workbench – Terminology and Data Models Training
In this workshop, we will introduce the notion of concept sets and their role in observational research with Electronic Health Record (EHR) data.