What's New @ HSLS MolBio

Learn @ HSLS: Single Cell RNA-Seq Data Analysis using Partek Flow, June 26

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.

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Learn @ HSLS: Introduction to All of Us Researcher Workbench, July 10

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).

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Learn @ HSLS: R Bootcamp Week, June 11-14

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.

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Learn @ HSLS: Bulk RNA-seq Data Analysis Using CLC Genomics Workbench, May 22

Wednesday, May 22, 2024, 1-4 p.m.
Online
Register for Bulk RNA-seq data analysis using CLC Genomics Workbench

This workshop teaches bulk RNA-Seq data analysis using CLC Genomics Workbench software. Upon registration, you will receive links to workshop materials that you can view on your schedule.

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Single Cell and Spatial Symposium

Tuesday, May 14, 2024, 10 a.m.-6 p.m.
In-person at The Oaklander Hotel (5130 Bigelow Blvd), The Cathedral Room, 10th Floor

The event is full, but a wait list is available for those still interested in attending. Join the wait list for the symposium.

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May Data Basics Python Workshop

Monday, May 13, 2024 through Thursday, May 16, 2024, 9 a.m.-4 p.m. (with a one-hour lunch break)
This will be an in-person workshop (No Zoom option)
Register for the Data Basics Spring 2024 Workshop

Data Basics is an eight-part workshop series covering the basic techniques for research computing with the Python programming language.

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