CBC and CGI Workshop Registration

ISG CBC Workshop Schedule - 2026

Workshop: Virtual Methylation Analysis

Dates: Nov. 3-5, 2026

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

Location: Online

Cost:   $500 (UConn/UCH affiliates)

            $600 (External Participants)

Register

Virtual Methylation Analysis :: (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, methods of generating methylation data, quality control of methylation data

Day 3: Conversion-based methylation analyses (read alignment and alignment QC, counts generation, CpG filtering, normalization, and differential methylation analyses)

Day 4: Direct-detection methylation analyses (methylation calling, read alignment and QC, counts generation, differential methylation analyses)


Registration

Registration Link

 


Workshop FAQ

Who should attend?

Anyone with keen interest in analyzing conversion-based (e.g., BS-seq, EM-seq) or direct detection (e.g., Oxford Nanopore) methylation data. 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

Workshop: Virtual Introduction to HPC

Date: Jan. 20, 2027

Time: 10:00am - 1:00pm EST

Location: Online

Cost:   $200 (UConn/UCH affiliates)

            $300 (External Participants)

Register

Virtual Introduction to HPC :: (Click here to expand)

Workshop schedule

This one-day, 3-hour workshop covers an overview of the Mantis cluster's infrastructure and resources; accessing the HPC via the command line and Open OnDemand; navigating the filesystem; accessing software modules and shared databases; writing and running batch scripts; transferring data; and managing file permissions.


Registration

Registration Link

 


Workshop FAQ

Who should attend?

Anyone who is relatively new to the Mantis cluster and seeks guidance on onboarding. Prior course participants have included faculty, postdocs, grad students, advanced undergraduates, staff, and industry researchers.

What are the prerequisites?

Prior programming or R experience is not required.

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 $300 and $200 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 1:00pm EST on the date 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 Introduction to R Sept. 4th through Nov. 6th (10 weeks)
Virtual Genome Assembly Sept. 22-24, 2026
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