awslabs / guidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-awsLinks
This guidance creates a scalable environment in AWS to prepare genomic, clinical, mutation, expression and imaging data for large-scale analysis and perform interactive queries against a data lake. The solution also demonstrates the use of Amazon Omics for multi-modal analysis.
☆24Updated 6 months ago
Alternatives and similar repositories for guidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-aws
Users that are interested in guidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-aws are comparing it to the libraries listed below
Sorting:
- ☆86Updated 2 months ago
- This project contains the webapp sample integrated with AWS HealthOmics, which allows users such as admin and bioinformaticians to operat…☆19Updated last year
- This solution provides a framework for Next Generation Sequencing (NGS) genomics secondary-analysis pipelines using AWS Step Functions an…☆39Updated last year
- An option to spin cost effective EMR clusters in AWS with Hail and JupyterNotebook installed☆18Updated 5 years ago
- ☆16Updated 8 months ago
- ☆38Updated 3 years ago
- ☆147Updated last year
- AWS Quick Start Team☆24Updated last year
- Genomics Workflows on AWS☆147Updated 2 years ago
- ☆11Updated 4 years ago
- ☆18Updated 2 years ago
- ☆39Updated last week
- aws-solutions-library-samples / guidance-for-multi-modal-data-analysis-with-aws-health-and-ml-servicesAn end-to-end framework for storing, integrating, and analyzing multimodal HCLS data on AWS, using AWS HealthOmics, AWS HealthLake, AWS H…☆17Updated last year
- Hummingbird: Efficient Performance Prediction for Executing Genomic Applications in the Cloud: https://doi.org/10.1093/bioinformatics/bta…