Krishna Choudhary, PhD
Alex Pico, PhD
Min-Gyoung Shin, PhD
Reuben Thomas, PhD
This 4-day workshop will focus on the analysis of single-cell RNA-seq data, starting from raw count matrices and progressing to network analysis of single-cell datasets. You’ll analyze data using R and Cytoscape.
Attendance at all four sessions is required.
March 29: Loading data, quality control, normalization, feature selection, dimensionality reduction.
March 30: Dimensionality reduction (continued), clustering, finding marker genes.
March 31: Advanced discussion on normalization, differential analysis, and batch-correction.
April 1: Network analysis of single-cell data, Q&A.
- Familiarity with R and RStudio (e.g., reading in files, working with lists and dataframes)
- Some exposure to RNA-seq datasets
Advanced: This is an advanced workshop in the RNA-Seq Analysis series. Prior experience with RNA-Seq analysis is required. See introductory and intermediate workshops:
Visit the workshop site for more details and materials.
This event is sponsored by UCSF Bakar Computational Health Sciences Institute.
The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.