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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.
Overview
Open this product detail page to access the AWS Open Data version of this data set. This AWS Data Exchange-published product contains a snapshot from the Open Data Set "NIH NCBI Sequence Read Archive (SRA) on AWS" as of November 2022.
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.
For instructions on how to use this product, please follow the steps in AWS's free, public Workshop: Data subscription and export workflow
Highlights
- NIH NCBI SRA (AWS Data Exchange for AWS Lake Formation Test Product)
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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.
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