Wednesday, December 18, 2024, 1-4 p.m., Online
Taught by Ansuman Chattopadhyay
Register for Gene Regulation
This workshop provides an overview of resources and search strategies for transcriptional regulation. Emphasis will be placed on HSLS-licensed TRANSFAC/Match and Correlation Engine software, as well as open-access tools like the UCSC Genome Browser and the Cistrome Data Browser.
The American Association for the Advancement of Science (AAAS) is surveying researchers about their experiences with and views of CC-BY licenses. They are particularly interested in the downstream uses of work published under an open license. The survey is an important opportunity to capture the benefits of open licenses and will provide insight into gaps in author understanding as well as any concerns about the licenses.
Tuesday, November 19, 2024, noon-1:30 p.m., Online
Taught by Alexis Cenname
Register for Python Bootcamp Week 2: Data Centric Python with pandas
This is part 2 of a four-part Python Bootcamp. In “Data Centric Python with pandas” we will delve into Python’s diverse data structures and unveils the analytical might of the pandas library, enhancing your data analysis skills.
Wednesday, November 20, 2024, 1-3 p.m., Online
Taught by Srilakshmi Chaparala
Register for Gene Expression Visualization using PartekFlow and Cytoscape
This workshop is on the visualization of gene expression data using HSLS-licensed Partek Flow software as well as open-access Cytoscape software.
Tuesday, December 3, 2024, noon-1:30 p.m., Online
Taught by Alexis Cenname
Register for Python Bootcamp Week 3: Data Exploration with pandas and seaborn
This is part 3 of a four-part Python Bootcamp. In this session you will advance your skills in “Data Exploration with pandas and Seaborn,” focusing on data summarization and the art of visualization with Seaborn.
Wednesday, November 6, 2024, 1-4 p.m., Online
Taught by Srilakshmi Chaparala
Register for Single cell Multiomics Analysis with Partek Flow
Join us for an interactive workshop focused on single cell multiomics data analysis techniques covering CITE-Seq (gene + protein) and Multiome ATAC + Gene expression.