What's New @ HSLS MolBio

May 9: Introduction to All of Us Researcher Workbench

Tuesday, May 9, 1-2 p.m., online
Register for Introduction to All of Us Researcher Workbench

Join us for a one-hour 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).

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April 12: Gene Regulation

Wednesday, April 12, 1-3 p.m., online

Register for Gene Regulation

This workshop provides an overview of resources and search strategies on transcriptional regulation. Emphasis will be given to HSLS-licensed TRANSFAC/Match and Correlation Engine software and open-access tools such as the UCSC genome browser and Cistrome data browser.

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April 19: Command Line for Biologists

Wednesday, April 19, 1-3 p.m., online

Register for Command Line for Biologists

This workshop is based on the Software Carpentry Lesson on the Unix Shell. The Unix shell is a powerful tool that allows users to perform simple tasks, including managing data.

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ARC 2023: COVID-19 Wins and Lessons – Free Symposium on April 21

Join the Center for Research Computing, Pitt IT, the Pittsburgh Supercomputing Center and Pitt Research on April 21 for a symposium looking back and looking forward at how computing-driven research responded to the myriad aspects of the COVID-19 pandemic. Celebrate achievements and lessons with colleagues and hear two national keynote speakers, along with researchers from the University of Pittsburgh and Carnegie Mellon.

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All of Us Evenings with Genetics Researcher Workbench Support

The All of Us Evenings with Genetics Research Program (Department of Molecular and Human Genetics, Baylor College of Medicine) provides Researcher Workbench assistance for all registered users. During the first hour, the All of Us Evenings with Genetics Research Program support staff will present tutorials related to the topic of the week.

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April 4: EHR and Survey Data Analysis

Tuesday, April 4, 1-3 p.m., online

Register for EHR and Survey Data Analysis

Instructor: Richard Boyce, PhD, Associate Professor, Department of Biomedical Informatics

One of the biggest strengths of the All of Us dataset is data from surveys.

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