Audience
Companies looking for a solution to transform genomic, transcriptomic, and other omics data into insights
About AWS HealthOmics
Securely combine the multiomic data of individuals with their medical history to deliver more personalized care. Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations. Accelerate research by using scalable workflows and integrated computation tools. Protect patient privacy with HIPAA eligibility and built-in data access and logging. AWS HealthOmics helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population. Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity. Integrate multiomic analysis into clinical trials to test new drug candidates.
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Aspect Analytics
Aspect Analytics offers a spatial multi-omics platform for collaborative, cross-disciplinary data analysis and management. For research teams in drug development, biomarker discovery, pathology analysis, and beyond. Aspect Analytics enables breakthrough research and facilitates cross-disciplinary teamwork by bringing multi-omics data into a single-view, collaborative platform. Layer in different spatial omics measurements in one joint visualization, simultaneously. Our platform combines data from all your spatial multi-omics assays to ensure you get the insights you need. Store & manage petabytes of data, securely. Access it anytime, anywhere. Scale up and customize data infrastructure according to your needs. Integrate spatial biology data from different technologies and from all different vendors, no matter which data format. Set up automated workflows and run in-depth analyses on large datasets, in parallel.
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Illumina Connected Analytics
Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems.
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Correlation Engine
Correlation Engine is an interactive omics knowledgebase that puts private omics data in a biological context with highly curated public data. One of the largest biological databases in the world, Correlation Engine provides life science researchers with unprecedented access to vast numbers of high-quality whole-genome analyses and insightful scientific tools. The knowledgebase enables novel discoveries by interrogating billions of data points derived from standardized analyses of whole genome studies. A suite of applications to determine biological context, a continually growing library of curated data sets, and support for multiple species and multi-omic datasets. Utilize a simple graphical user interface to leverage guided workflows, push-button applications, and APIs. Accelerate your journey from omic data to decision and get access to over 25,000 multi-omics studies (from over 250,000 signatures) that have been reanalyzed.
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The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation and rich visualizations of results. The functional analysis module includes the popular Blast2GO annotation methodology and makes OmicsBox particularly suited for non-model organism research
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Company Information
Amazon
Founded: 1994
United States
aws.amazon.com/healthomics/
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