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

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

Aug 17, 2023 1.04k likes •1.24k 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

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Introduction to Single-cell RNA-seq analysis

Harvard Chan Bioinformatics Core

https://tinyurl.com/hbc-intro-to-scrnaseq

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Rory Kirchner John Hutchinson Associate Director Victor Barrera Shannan Ho Sui Director Zhu Zhuo James Billingsley Peter Kraft Faculty Advisor Sergey Naumenko Ilya Sytchev Joon Yoon Radhika Khetani Training Director Mary Piper Meeta Mistry Jihe Liu Preetida Bhetariya

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Rory Kirchner John Hutchinson Associate Director Victor Barrera Shannan Ho Sui Director Zhu Zhuo James Billingsley Peter Kraft Faculty Advisor Sergey Naumenko Ilya Sytchev Joon Yoon Radhika Khetani Training Director Mary Piper Meeta Mistry Jihe Liu Preetida Bhetariya

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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
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NIEHS / CFAR Bioinformatics Core Center for Stem Cell Bioinformatics Harvard Catalyst Bioinformatics Consulting HMS Tools & Technology

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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/

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Workshop scope

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Bioinformatics data analysis

http://anoved.net/tag/lego/page/3/

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Learning objectives

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

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Logistics

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https://tinyurl.com/hbc-intro-to-scrnaseq

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Odds and Ends

✤ Name tags: Tent Cards ✤ Post-its ✤ Phones on vibrate/silent!

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Contact us!

Training team : hbctraining@hsph.harvard.edu Consulting : bioinformatics@hsph.harvard.edu @bioinfocore