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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Efficiently merge the multiomic information of patients with their health records to provide more tailored care solutions. Implement specialized data repositories to facilitate extensive analyses and foster collaborative research initiatives on a population-wide scale. Expedite research processes by leveraging adaptable workflows and comprehensive computational tools. Ensure the safeguarding of patient privacy through adherence to HIPAA standards, complete with robust data access and logging mechanisms. AWS HealthOmics empowers healthcare and life science organizations, along with their software collaborators, to securely store, retrieve, and analyze diverse omics data, such as genomic and transcriptomic information, ultimately yielding valuable insights that enhance health outcomes and propel scientific advancements. Manage and evaluate omics data for extensive patient cohorts to discern how variations in omics relate to phenotypic expressions within the population. Develop consistent and accountable clinical multiomics workflows designed to minimize turnaround times while boosting efficiency. Seamlessly incorporate multiomic assessments into clinical trials aimed at evaluating new therapeutic candidates, thereby enhancing the overall drug development process. By harnessing these innovative approaches, organizations can ensure a deeper understanding of patient health and contribute to groundbreaking research findings.

Description

Delve into a vast collection of meticulously curated single-cell transcriptome datasets, as well as your own, using dynamic visualizations and analytical tools. This software is versatile, accommodating multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomics. Engage with the most extensive single-cell expression database globally, where you can access and extract insights from a repository featuring millions of fully annotated cells complete with cell type labels and experimental metadata. Beyond merely serving as a conduit to published research, BioTuring Browser functions as a comprehensive end-to-end solution tailored for your specific single-cell data needs. Easily import your fastq files, count matrices, or Seurat and Scanpy objects to uncover the biological narratives contained within. With an intuitive interface, you can access an extensive array of visualizations and analyses, transforming the process of extracting insights from any curated or personal single-cell dataset into a seamless experience. Additionally, the platform allows for the importation of single-cell CRISPR screening or Perturb-seq data, enabling users to query guide RNA sequences with ease. This functionality not only enhances research capabilities but also facilitates the discovery of novel biological insights.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
Amazon Web Services (AWS) Yes 
Python No 
R No 

Integrations

AWS AI Services No 
Amazon Web Services (AWS) No 
Python Yes 
R Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/healthomics/

Vendor Details

Company Name

BioTuring Browser

Country

United States

Website

bioturing.com/bbrowser

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