Wednesday, June 26, 2024, 1-4 p.m.
Online
Register for Single Cell RNA-Seq Data Analysis using Partek Flow
This workshop is on single cell RNASeq analysis with multiple samples using HSLS-licensed Partek Flow software.
Wednesday, July 10, 2024, 1-3 p.m.
Online
Register for Introduction to All of Us Researcher Workbench
Join us for a class on the All of Us Researchers Workbench – a cloud-based platform that provides researchers with access to data generated by the All of Us Research Program (AoURP).
Wednesday, July 31, 2024, 1-4 p.m.
Online
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.
Tuesday, August 6, 2024, through Friday, August 9, 2024, noon-1 p.m.
Online
Register for Python Bootcamp
Join us for our premiere Python Bootcamp Week, offering a comprehensive dive into Python programming. Mirroring the approach of its R counterpart, the bootcamp unfolds through a sequence of dedicated sessions that encompass the full data analysis workflow.
HSLS and ULS have signed an open access publishing agreement with Elsevier, a major international publisher of books and journals across most disciplines, and the biggest publisher for Pitt authors, with nearly 1,500 articles per year.
This agreement allows the Pitt community to read and publish open in over 800 hybrid journals without incurring APC charges, as well as a selection of Cell Press titles at a 10% discount.
Tuesday, June 11, 2024, through Friday, June 14, 2024, noon-1 p.m.
Online
Register for R Bootcamp
Participate in our very first R Bootcamp Week for a deep dive into R programming. The bootcamp unfolds through a series of focused sessions that cover the entire data analysis process, from importing and cleaning data to sophisticated data manipulation and visualization techniques using the tidyverse package.