Bioinformatics workshop series: 4. RNAseq Data Processing: A Step-by-Step Guide from raw sequences to counts. (In-Person)
Registration is required. Click here to register.
Session 4 – RNAseq Data Processing: A Step-by-Step Guide from raw sequences to counts.
Presenter: Dr. Francesc Lopez-Giraldez, Yale Center for Genomic Analysis
Series Details: see below
Summary: Learn the detailed process of transforming raw RNAseq data (fastq format) into meaningful raw counts, without relying on automated pipelines. This hands-on workshop emphasizes the step-by-step methodology for data processing and analysis. For this hands-on workshop, participants will be using Open OnDemand and Jupyter Notebooks.
You will learn how to:
- QC, filter, and trim NGS sequences
- Align sequences to a reference genome
- Produce a count matrix ready to be used with DESeq2
Requirements:
- Have participated in session 3 or become familiar with bash/CLI or Jupyter Notebook
- Bring a laptop.
- HPC account to access Yale Open OnDemand, if you don't have an account bring your laptop with R and RStudio installed.
This session is suitable for both beginner and intermediate users.
Bioinformatics workshop series: Intro to bulk RNA-seq data analysis: from experimental design to pathway analysis.
GENERAL DESCRIPTION: This workshop series offers an introduction to bulk RNA-seq data analysis, guiding participants through each step, from library preparation to gene set enrichment analysis. The series is composed of 8 sessions (see table below). The sessions will be led by field experts from the Yale Centers for Genomic Analysis (YCGA), Computational Research (YCRC), and Cushing/Whitney Medical Library Bioinformatics Support Hub to better connect you with bioinformatics services available at Yale.
We have structured this series in such a manner as to provide practical skills in experimental design, data processing, and functional analysis. The series is ideal for those new to the field of transcriptomics or those wanting to start performing their analysis.
Date: Every Tuesday from February 6 until March 26
Time: from 10 am-12 pm
Requirements: No previous command line experience required.
Seating Information: For registered participants, seating operates on a first-come, first-served basis. Please ensure timely arrival to secure your seat.
*Registrations for March sessions will open at the end of February.
2/06/24
Session 1 - Foundations of Bulk-RNAseq Library Preparation
In-person
Bony De Kumar, PhD
2/13/24
Session 2 - Considerations for Designing Next-Generation Sequencing Experiments
In-person
Francesc Lopez Giraldez, PhD
2/20/24
Session 3 - Introduction to the Yale Clusters and Open OnDemand
In-person
Robert Bjornson, PhD
2/27/24
Session 4 - RNAseq Data Processing: A Step-by-Step Guide from raw sequences to counts
In-person
Francesc Lopez Giraldez, PhD
3/05/24
Session 5 – Streamlining RNAseq Analysis with the YCGA Pipeline
In-person
Francesc Lopez Giraldez, PhD
3/12/24
Session 6 – Analysis of differential gene expression of bulk RNA-seq data using “DESeq2” in RStudio.
In-person
Sofia Fertuzinhos, PhD
3/19/24
Session 7 - Functional analysis using R
In-person
Bony De Kumar, PhD
3/26/24
Session 8 - Functional analysis using Gene Set Enrichment Analysis (GSEA)
In-person
Rolando Milian, MLS