Open data
|
Deployed on AWS
The NIH Roadmap Epigenomics Mapping Consortium was launched with the goal of producing a public resource of human epigenomic data to catalyze basic biology and disease-oriented research. The project has generated high-quality, genome-wide maps of several key histone modifications, chromatin accessibility, DNA methylation and mRNA expression across 100s of human cell types and tissues. To see what data is available, please check the directory listing: https://roadmapepigenomics.s3.us-west-2.amazonaws.com/index.html.
Overview
The NIH Roadmap Epigenomics Mapping Consortium was launched with the goal of producing a public resource of human epigenomic data to catalyze basic biology and disease-oriented research. The project has generated high-quality, genome-wide maps of several key histone modifications, chromatin accessibility, DNA methylation and mRNA expression across 100s of human cell types and tissues. To see what data is available, please check the directory listing: https://roadmapepigenomics.s3.us-west-2.amazonaws.com/index.html .
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 NIH Roadmp Epigenomics data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::roadmapepigenomics
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://roadmapepigenomics/
Resources
Vendor resources
Support
Contact
Managed By
NIH Roadmap Epigenomics Mapping Consortium, Ting Wang Lab at WashU (https://wang.wustl.edu/ )
How to cite
NIH Roadmap Epigenomics was accessed on DATE from https://registry.opendata.aws/roadmapepigenomics .
License
External data users may freely download, analyze, and publish results based on any NIH Roadmp Epigenomics data provided here without restrictions.
Similar products
Use NIH NCBI Sequence Read Archive (SRA) (AWS Data Exchange for AWS Lake Formation Test Product) to understand how to interact with data made available via AWS Lake Formation.
The Sequence Read Archive (SRA), produced by the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM) at the National Institutes of Health (NIH), stores raw DNA sequencing data and alignment information from high-throughput sequencing platforms. The SRA provides open access to these biological sequence data to support the research community's efforts to enhance reproducibility and make new discoveries by comparing data sets. Buckets in this registry contain public SRA data in the original (user submitted) format from select high value and newly-released studies as well as all public-access SRA formatted ETL+BQS data. Also included is all SRA metadata that can be leveraged for attribute-based data discovery.
![NIH NLM NCBI PubMed Central (PMC) Article Datasets - Full-Text Biom[...]](https://d1ewbp317vsrbd.cloudfront.net/a8e93668-66b7-432f-ada5-930c28e78471.png)
PubMed Central® (PMC) is a free full-text archive of biomedical and life sciences journal article at the U.S. National Institutes of Health's National Library of Medicine (NIH/NLM). The PubMed Central (PMC) Article Datasets include full-text articles archived in PMC and made available under license terms that allow for text mining and other types of secondary analysis and reuse. The articles are organized on AWS based on PMCID and version number:
The PMC Open Access (OA) Subset, which includes all articles in PMC that are available for reuse based on terms specified by the publisher. The majority of available articles have machine-readable Creative Commons license The Author Manuscript Dataset, which includes all articles collected under a funder policy in PMC and made available in machine-readable formats for text mining. NOTEL Author manuscripts with Creative Commons licenses are also part of the PMC Open Access Subset. The Historical OCR Dataset, w[...]
![Integrative Analysis of Lung Adenocarcinoma in Environment and Gene[...]](https://d1ewbp317vsrbd.cloudfront.net/0dcff380-4477-4259-ab5e-fc88b35a9889.png)
We performed whole genome sequencing and whole exome sequencing of 31 lung adenocarcinoma (LUAD) samples from the Environment And Genetics in Lung cancer Etiology (EAGLE) study. The EAGLE study is made available on AWS via the NIH STRIDES Initiative (https://aws.amazon.com/blogs/publicsector/aws-and-national-institutes-of-health-collaborate-to-accelerate-discoveries-with-strides-initiative/).