Description
Instructors: Heather Lawson, Glenn Hickey, Nanibaaā Garrison, Isabel Angres, Alex Ioanidis, Andrew Stergachis
At this workshop we will introduce participants to the HPRC Release 3 and offer instruction for the following: (1) Pangenome 101: What it is and where to download the data; (2) Functional Applications: e.g. Kinnex and Fiber-seq datasets for functional inference; (3) Population Genetics Applications: e.g. Sampling and Local Ancestry Inference; (4) Tools for variant calling: Hands-on instruction for mapping reads to pangenome/VCF and how to report SV typing; and (5) Interactive discussions on Ethics and Future Data Governance: How to implement the FAIR and CARE principals.
Session Details:
- What is the Human Pangenome: Data and technology overview (lecture) [20 minutes]
- We will introduce the community to the HPRC Release 3, describe the pangenome, the technologies used to generate assemblies, and where to access HPRC data. This will include a featured discussion on emerging functional datatypes framed around the pangenome (Kinnex and Fiber-seq).
- Who is included in the Pangenome? (demonstration) [20 minutes]
- We will describe population sampling and Local Ancestry Inference
- Tools for variant calling (hands-on instruction) [50 minutes]
- We will instruct participants on mapping short reads to pangenome/VCF and on methods for reporting SV typing
- Discussion on Ethics, Data Governance and FAIR/CARE (interactive discussion) [20 minutes]
- We will illustrate how HPRC is implementing FAIR and CARE principles through guided discussions and examples.
- Q&A [10 minutes]
Learning Objectives:
- Summarize the HPRC reference resource Release 3 data and technologies used to generate assemblies.
- Illustrate what a pangenome reference is and how to access HPRC data, including emerging functional and population genetic data.
- Illustrate how to utilize tools for mapping short- and long-read data to pangenome/VCF and report variants.
- Illustrate how to begin the process of implementing FAIR and CARE principles, ensuring socially responsible and ethical data use and management.
Additional Information:
Basic level.