Introduction to Single-cell RNA-seq analysis Harvard Chan - PowerPoint PPT Presentation

Aug 17, 2023 •1.04k likes •1.23k views

Introduction to Single-cell RNA-seq analysis Harvard Chan Bioinformatics Core https://tinyurl.com/hbc-intro-to-scrnaseq Shannan Ho Sui John Hutchinson Victor Barrera Rory Kirchner Zhu Zhuo Director Associate Director Radhika Khetani Preetida

Introduction to Single-cell RNA-seq analysis Harvard Chan Bioinformatics Core https://tinyurl.com/hbc-intro-to-scrnaseq
Shannan Ho Sui John Hutchinson Victor Barrera Rory Kirchner Zhu Zhuo Director Associate Director Radhika Khetani Preetida Bhetariya Meeta Mistry Mary Piper Jihe Liu Training Director Peter Kraft Ilya Sytchev James Billingsley Sergey Naumenko Joon Yoon Faculty Advisor
Shannan Ho Sui John Hutchinson Victor Barrera Rory Kirchner Zhu Zhuo Director Associate Director Radhika Khetani Preetida Bhetariya Meeta Mistry Mary Piper Jihe Liu Training Director Peter Kraft Ilya Sytchev James Billingsley Sergey Naumenko Joon Yoon Faculty Advisor
Consulting • RNA-seq, small RNA-seq and ChIP-seq analysis • Genome-wide methylation • WGS, resequencing, exome-seq and CNV studies • Quality assurance and analysis of gene expression arrays • Functional enrichment analysis • Grant support
Harvard NIEHS / CFAR Center for Stem HMS Catalyst Bioinformatics Cell Tools & Bioinformatics Core Bioinformatics Technology Consulting
Training We have divided our short workshops into 2 categories: 1. Basic Data Skills - No prior programming knowledge needed (no prerequisites) 2. Advanced Topics: Analysis of high-throughput sequencing (NGS) data - Certain “Basic” workshops required as prerequisites. Any participants wanting to take an advanced workshop will have to have taken the appropriate basic workshop(s) within the past 6 months. http://bioinformatics.sph.harvard.edu/training/ https://hbctraining.github.io/main/
Workshop scope
http://anoved.net/tag/lego/page/3/ Bioinformatics data analysis
Learning Objectives ✓ Describe best practices for designing a Single-cell RNA-seq experiment ✓ Describe steps in a Single-cell RNA-seq analysis workflow. ✓ Use Seurat and associated tools to perform analysis of single-cell expression data, including data filtering, QC, integration, clustering, and marker identification Learning objectives
Logistics
https://tinyurl.com/hbc-intro-to-scrnaseq � 11
Odds and Ends ✤ Name tags: Tent Cards ✤ Post-its ✤ Phones on vibrate/silent!
Contact us! Training team : hbctraining@hsph.harvard.edu Consulting : bioinformatics@hsph.harvard.edu @bioinfocore

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