Wednesday, March 20, 2024, 1-4 p.m.
Hybrid Session: Attend online or in person in the Falk Library Classroom
Register for Gene Regulation
This workshop provides an overview of resources and search strategies on transcriptional regulation.
Tuesday, March 26, 2024, 1-2:30 p.m.
Online
Register for March 26: Data Visualization in R using ggplot2
This intermediate class covers the creation of data visualizations using the ggplot2 package in R. This is a flipped class and the third part of a series: Introduction to R; Data Wrangling in R, and Data Visualization in R.
Wednesday, March 27, 2024, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
Register for All of Us Genomics Workshop: Investigating the Potential Impact of PCSK9 Variant on LDL Levels
Join us for our first-ever All of Us genomics workshop.
Monday, March 25, 2024, noon
Hillman Library 254
Register through ULS
Recent policies from funders and publishers demand, justifiably, public access to data as a research output on par with Open Access publications. Indeed, data sharing is necessary even for validation and replication of findings.
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.
This spring, as a part of our efforts to empower researchers to utilize the All of Us Researcher Workbench, we are offering five workshop sessions focused on this platform. Join us for one or more session to learn about working with datasets in the All of Us Research Program.
This season’s lineup offers a diverse range of contemporary bioinformatics topics, introductory classes in R programming, and a series focused on data analysis using the All of Us Researcher Workbench. When you register, you will receive links to workshop materials.
We continuously organize basic and advanced workshops on a wide range of bioinformatics topics. These workshops are designed to address practical issues often encountered in bioinformatics work. They are designed to help users understand and work with the CRC clusters.
Research scientists are challenged by the need to put their private omics data into biological context with public data. This analysis requires time-consuming literature-based searches and manual comparison with open-source datasets of variable quality. Illumina’s Correlation Engine is an interactive omics knowledgebase that puts private data in biological context with highly curated public data in a comprehensive and easy to use platform.