CBC and CGI Workshop Registration

ISG CBC Workshop Schedule - 2026

Workshop: Introduction to R

Dates: Sept. 4th through Nov. 6th (10 weeks)

Time: Fridays from 1:00 to 2:00 PM EST

Location: Online

Cost:   $500 (UConn/UCH affiliates)

            $600 (External Participants)

Register

Introduction to R Workshop :: (Click here to expand)

Workshop schedule

Each week, we will cover a new set of topics designed to gradually familiarize participants with the core concepts of R. Topics will include, but are not limited to, importing and exporting data; creating, transforming, and working with common data structures; data tidying and wrangling; designing and applying functions, programs, and pipelines; data visualization; basic statistical analyses; and library management. Special emphasis will be placed on working with popular data science packages, particularly those in the tidyverse ecosystem.

This workshop covers general R and data science concepts. It does not provide in-depth instruction on specialized topics such as bioinformatics analyses, data modeling, or advanced statistics (e.g., differential expression analyses, time series analysis).


Registration

Registration Link

 


Workshop FAQ

Who should attend?

Anyone with an interest in learning R for data analysis, data visualization, etc. Prior course participants have included faculty, postdocs, graduate students, advanced undergraduates, staff, and industry researchers.

What are the prerequisites?

Prior programming or R experience is not required. We have dedicated the first day of the workshop to setting up our R environments and covering basic programming principles.

What do I need?

You will need your own laptop to use with a recent version of R (and optionally RStudio) installed. We will send you details on 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 $600 and $500 for UConn affiliates. It is payable at the time of registration with credit card or KFS.

Where is the workshop?

It will be held on Microsoft Teams, and will run from 1:00pm to 2:00pm EST on the dates indicated.

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.

Questions?

If you have any questions, please don’t hesitate to contact us at cbcsupport@helpspotmail.com

Workshop: Virtual Genome Assembly

Dates: Sept. 22-24, 2026

Time: 10:00am - 2:00pm EST

Location: Online

Cost:   $500 (UConn/UCH affiliates)

            $600 (External Participants)

Register

Virtual Genome Assembly :: (Click here to expand)

Workshop schedule

Day 1: Self-guided introduction to Linux and HPC (available 2 weeks ahead of workshop)

Day 2: High-throughput sequencing, assembly strategies, quality control of data, contaminant detection

Day 3: Short Read and Hybrid Assembly

Day 4: Long Read Assembly, Evaluation


Registration

Registration Link

 


Workshop FAQ

Who should attend?

Anyone with keen interest in Genome Assembly methods. Prior course participants have included faculty, post docs, grad students, advanced undergraduates, staff, and industry researchers.

What are the prerequisites?

Prior programming or R experience is not required. We have dedicated the first day of the workshop to setting up our R environments and covering basic programming principles.

What do I need?

You will need your own laptop to use with a recent version of R (and optionally RStudio) installed. We will send you details on 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 $600 and $500 for UConn affiliates. It is payable at the time of registration with credit card or KFS.

Where is the workshop?

It will be held on Microsoft Teams, and will run from 10:00am to 2:00pm EST on the dates indicated.

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.

Questions?

If you have any questions, please don’t hesitate to contact us at cbcsupport@helpspotmail.com

Past Workshops

Workshop Title Date Offered
Virtual Reference-guided RNA-seq Aug 25-27, 2026
Virtual ChIP-Seq/ATAC-Seq July 28-30, 2026
Virtual Single Cell RNA-seq June 23-25, 2026
Virtual Genome Annotation May 19 - 21, 2026
Virtual Genome Assembly April 21 - 23, 2026
Virtual RNA-seq Analysis (with reference genome and annotation) February 24 - 26, 2026
Virtual Variant Detection January 27 - 29, 2026
Virtual RAD-seq January 13 - 15, 2026
Introduction to Microbial Ecology December 15 - 18, 2025
Virtual Genome Annotation November 18 - 20, 2025
Virtual ChIP-Seq/ATAC-Seq October 28-30, 2025
Virtual Genome Assembly September 16 - 18, 2025
Virtual RNA-seq (de novo) August 19-21, 2025
Virtual RNA-seq Analysis (with reference genome and annotation) July 29-31, 2025
Virtual Single-Cell Transcriptomics June 24-26, 2025
Virtual Genome Annotation May 27-29, 2025
Virtual Variant Detection May 20-22, 2025
Virtual Genome Assembly April 15-17, 2025
Virtual RNA-seq Analysis (with reference genome and annotation) February 4-6, 2025
Virtual Genome Assembly July 15-18, 2024
Virtual SingleCell RNASeq June 10-13, 2024
Virtual Chip-seq and ATAC-seq Data Analysis April 22-25, 2024
Virtual RAD-seq March 18-21, 2024
Virtual RNA-seq Data Analysis with Reference Genome and Annotation February 20-23, 2024
Virtual Genome Annotation January 22-25, 2024
Virtual SingleCell RNASeq December 12-15, 2023
Virtual R Workshop Friday Weekly starting October 20th, 2023 (~12 weeks)
Virtual de novo RNA-seq Data Analysis (non-model) November 13-16, 2023
Virtual Variant Detection October 23-26, 2023
Virtual RNA-seq Data Analysis with Reference Genome and Annotation October 2-5, 2023
Virtual SingleCell RNASeq August 21-24, 2023
Virtual RAD-seq August 7-10, 2023
Virtual Genome Assembly July 17-20, 2023
Virtual Genome Annotation June 12-15, 2023
Virtual Single Cell RNA-seq March 20-23, 2023
Virtual (Non-model) RNA-seq Data Analysis February 13-16, 2023
Virtual RNA-seq (Model) Data Analysis January 9-12, 2023
Virtual Genome Assembly May 16-19, 2022
Virtual RAD-seq June 6-9, 2022
Virtual Variant Detection July 25-28, 2022