
Overview
The IGVF (Impact of Genomic Variation on Function) Consortium aims to understand how genomic variation affects genome function,
which in turn impacts phenotype. The NHGRI is funding this collaborative program that brings together teams of investigators who
will use state-of-the-art experimental and computational approaches to model, predict, characterize and map genome function, how
genome function shapes phenotype, and how these processes are affected by genomic variation. These joint efforts will produce a
catalog of the impact of genomic variants on genome function and phenotypes.
The Data Corpus consists of single-cell Genomics experiments (both single modal, and multimodal, typically snRNA-seq and snATAC-seq),
Characterization experiments using Massively Parallel Reporter Assays (MPRAs) and CRISPR-screens along with a variety of protein mutatation
assays, and Predictive Models.
There are a huge variety of files in IGVF that are stored in the AWS OpenData Set so we recommend using the metadata file or browsing the IGVF Data Portal
Features and programs
Open Data Sponsorship Program
Pricing
This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Released and Archived IGVF Data Files
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::igvf-public
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://igvf-public/
- Description
- Notifications for new IGVF data
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:407227577691:igvf-public-object_created
- AWS region
- us-west-2
Resources
Vendor resources
Support
Managed By
IGVF Data Administration and Coordination Center at Stanford University
How to cite
The Impact of Variation on Function Consortium (IGVF) was accessed on DATE from https://registry.opendata.aws/igvf-consortium .
License
CC BY 4.0 - https://creativecommons.org/licenses/by/4.0/ - You are free to share and adapt this data with proper attribution