CBC and CGI Workshop Registration
ISG CBC Workshop Schedule - 2025
Workshop: Virtual Genome Annotation
Dates: November 18 - 20, 2025
Time: 10:00am - 2:00pm
Location: Online
Cost: $400 (UConn/UCH affiliates)
$500 (External Participants)
Virtual Genome Annotation Workshop :: (Click here to expand)
Workshop schedule
Day 1: Self-guided introduction to Linux and HPC (available 2 weeks ahead of workshop)
Day 2: Introduction to HTS, Genome Assembly Validation, File Format Basics, and Repeats
Day 3: Helixer annotation with no evidence, BRAKER annotation with protein evidence
Day 4: EASEL with RNA-seq evidence and annotation evaluation
Registration
Registration Link
Workshop FAQ
Who should attend?
Anyone with an interest in modern genomics methods. Prior course participants have included faculty, post docs, grad students, advanced undergraduates, staff, and industry researchers.
What are the prerequisites?
Prior bioinformatic experience is not required. We have dedicated the first day of workshop to the basics of Linux and high performance computing.
What do I need?
You will need your own laptop to use, have a recent version of R, RStudio installed, and some other applications. We will send you details of softwares 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 $500 and $400 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: Introduction to Microbial Ecology
Dates: December 15 - 18, 2025
Time: 10:00am - 4:30pm
Location: In-Person
Cost: $570 (UConn/UCH affiliates)
$786 (External Participants)
Introduction to Microbial Ecology :: (Click here to expand)
Workshop Description
Learn microbiome data processing from raw DNA sequences through generating publication-quality figures. We will cover how to quality control sequences, including lectures to help participants understand the wet lab work that goes into generating the sequences. After QC of sequences, we’ll cluster into OTUs and taxonomically ID each OTU. Once we’ve processed the sequences in mothur, we’ll move into an introduction to R and community ecology stats (multivariate, non-parametric stats that we use to analyze microbiome data). This workshop will focus on using mothur and R for reproducible research by learning statistical analyses and generating publication quality figures. No prior command line experience required.
Workshop schedule
Day 1: Introduction to communities, wet lab, command line, and mothur.
Day 2: Sequence quality control, alignment, and cluster into OTUs.
Day 3: Introduction to alpha/beta diversity, introduction to R, and graphing.
Day 4: Beta diversity, multivariate analyses, more graphing
Registration
Workshop FAQ
Who should attend?
Anyone with interest in microbial ecology or microbiome research. Prior course participants have included faculty, post docs, grad students, advanced undergraduates, staff, and industry researchers.
What are the prerequisites?
Prior bioinformatic or command line experience is not required.
What do I need?
You will need your own laptop to use, have an up-to-date version of R, RStudio installed, and a terminal. We will send you details of softwares 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 $786 and $570 for UConn affiliates. It is payable at the time of registration with credit card or KFS.
Where is the workshop?
It will be held in person, and will run from 10:00 am to 4:30 pm 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 genomesupport@helpspotmail.com
Workshop: Virtual RAD-seq
Dates: December 16 - 18, 2025
Time: 10:00am - 2:00pm
Location: Online
Cost: $400 (UConn/UCH affiliates)
$500 (External Participants)
Virtual RAD-seq Workshop :: (Click here to expand)
Workshop schedule
Day 1: Self-guided introduction to Linux and HPC (available 2 weeks ahead of workshop)
Day 2: Introduction to HTS, RAD-seq data and QC. File format basics. de novo RADseq variant calling with Stacks.
Day 3: Reference mapping-based variant calling with Stacks and Freebayes.
Day 4: Filtering and reformatting variant call sets. Basic population structure analyses and QC.
Registration
Registration Link
Workshop FAQ
Who should attend?
Anyone with interest in gene expression analyses. Prior course participants have included faculty, post docs, grad students, advanced undergraduates, staff, and industry researchers.
What are the prerequisites?
Prior bioinformatic experience is not required. We have dedicated the first day of workshop to the basics of Linux and high performance computing.
What do I need?
You will need your own laptop to use, have a recent version of R, RStudio installed, and some other applications. We will send you details of softwares 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 $500 and $400 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 Variant Detection
Dates: January 20 - 22, 2026
Time: 10:00am - 2:00pm
Location: Online
Cost: $400 (UConn/UCH affiliates)
$500 (External Participants)
Virtual Variant Detection Workshop :: (Click here to expand)
Workshop schedule
Day 1: Self-guided introduction to Linux and HPC (available 2 weeks ahead of workshop)
Day 2: Introduction to HTS, variant calling basics. Reference alignment and QC.
Day 3: Introduction to variant calling models and common pipelines (GATK, Freebayes, BCFtools).
Day 4: Filtering and comparing variant call sets. Annotating variant call sets. Parallelizing large variant calling runs.
Registration
Registration Link
Workshop FAQ
Who should attend?
Anyone with interest in gene expression analyses. Prior course participants have included faculty, post docs, grad students, advanced undergraduates, staff, and industry researchers.
What are the prerequisites?
Prior bioinformatic experience is not required. We have dedicated the first day of workshop to the basics of Linux and high performance computing.
What do I need?
You will need your own laptop to use, have a recent version of R, RStudio installed, and some other applications. We will send you details of softwares 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 $500 and $400 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 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 |