News:de novo RNA-seq Analysis Workshop
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8 weeks ago
mia.nahom ▴ 10

The Computational Biology Core at the University of Connecticut’s Institute for Systems Genomics is offering a virtual de novo RNA-seq (non-model organism) Analysis workshop.

The workshop will cover basic concepts and walk through strategies and scripts on a high performance computing cluster.

The goal is to familiarize attendees with the basic concepts and approaches for transcriptomic and gene expression analyses. All code required to complete the full analysis will be provided in a public github repository, and session recordings will be available to all participants after the workshop.

Dates: February 13-16, 2023 (4 days)


Day 1: 8:30am - 12:00pm (EST)

Day 2-4: 9.00am - 12.00pm (EST)

Location: Online (Zoom)

Cost: $350/$483 USD for UConn affiliated/External attendees.

Workshop schedule:

Day 1: Introduction to Linux and high performance computing.

Day 2-4: Introduction high-throughput sequencing, and RNA-seq experimental design. Data Analysis: raw reads (fastq), read quality control, transcriptome assembly, filtering contigs and clustering, EnTAP annotation, Kallisto Indexing and feature quantification, introduction to R, DE analysis and visualization (DESeq2) GoAnalysis, Q&A.


To register, please follow this link:

Other upcoming workshops:

Virtual single cell RNA-seq March 6-9, 2023

Workshop FAQ:

Who should attend?

Anyone who wants to learn the fundamentals of transcriptomics and RNA-seq analyses.

What are the prerequisites?

Prior bioinformatic experience is not required. We have dedicated the first day of the workshop to the basics of Linux and high performance computing.

What do I need?

You will need your own computer and to install a few applications. We will send you details of software and installation instructions with your registration acknowledgement email.

Can I bring my own data?

We will provide experimental datasets for use during the workshop, as this helps to keep the workshop moving. There will be time, however, to discuss your own datasets and how you might work with them outside of the workshop.

How much does it cost?

The registration fee is $350/$483USD for UConn affiliated/External attendees.

How do I pay?

The fee is due at the time of registration. UConn affiliates can use KFS accounts. The only other means of payment we currently accept is credit card. Due to some complications we cannot accept international wire transfers at this time.

How do I apply?

All registration is “first-come, first-served.” There is no application process. Sign up as soon as possible to ensure your place in the workshop.


If you have any questions, please don’t hesitate to contact us at

For our other currently scheduled workshops, see here:

virtual workshop rna transcriptome • 220 views

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