What's New @ HSLS MolBio

Unlocking Biological Insights Through Spatial Multiomics Analysis in Partek Flow

Thursday, November 9, 2023, 2 p.m.
Register for this presentation

Unravel the intricacies of biology by simultaneously exploring tissue and cell information using spatial multiomics. Join Partek for an overview of spatial multiomics analysis and see how easy Partek® Flow® makes it to use both spatial context and molecule expression, such as genes and proteins within cell tissue, to make discoveries.

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October 26: All of Us Researcher Workbench – Terminology and Data Models Training

Thursday, October 26, 2023, 2-4 p.m.
Online
Register for All of Us Researcher Workbench – Terminology and Data Models Training

In this workshop, we will introduce the notion of concept sets and their role in observational research with Electronic Health Record (EHR) data.

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October 31: Single cell Multiomics Analysis with Partek Flow 

Tuesday, October 31, 2023, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
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.

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October 10: Introduction to All of Us Researcher Workbench

Tuesday, October 10, 2023, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
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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Survey: Bioinformatics at Pitt

Responses are sought from post docs and students in addition to faculty members and research staff.

Anonymous and less than 10 minutes to complete.

Take Survey 

Assist us in optimizing support of bioinformatics at Pitt HS.

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October 11: Transcriptome Analysis – From GEO Data Mining to Submission

Wednesday, October 11, 2023, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
Register for Transcriptome Analysis – From GEO Data Mining to Submission

Learn to locate gene expression studies relevant to your topic in the Gene Expression Omnibus repository, and master the art of retrieving and analyzing gene expression count data using tools such as GEO2R, Correlation Engine, and iDEP.

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