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Single Cell RNA-seq Data Analysis with Partek Flow

Join us for a seminar/ demo where we will show you how the intuitive graphical user interface and interactive tools of Partek Flow software can simplify your NGS data analysis and overcome common analysis challenges, especially on the Single Cell RNA Sequencing (scRNA-Seq) data.  We will demonstrate how to analyze a scRNA-Seq data set with multiple biological replicates and detect genes that are differentially expressed between cell populations across sample groups. 

Agenda:

10:00 AM – 12:00 PM

Partek NGS Data Analysis Solution Overview

Live Demo of Single-Cell Data Analysis

  • Cell filtering using interactive QC charts
  • Identifying cell populations by t-SNE plot
  • Pooling cells of the same type across multiple samples
  • Detecting differential expressed genes
  • Visualizing transcription profiles by heat map
  • Biological interpretation

Q&A

1:00 PM – 3:00 PM

Small groups and One on One Discussion

Date:
Thursday, May 24, 2018
Time:
9:30am - 12:00pm
Location:
C-103 - SHM 333 Cedar St, New Haven CT 06520
Campus:
Medical School
Categories:
  Bioinformatics  
Registration has closed.

Event Organizer

Profile photo of Rolando Garcia-Milian
Rolando Garcia-Milian