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ease
features
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support

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Description

Galaxy serves as an open-source, web-based platform specifically designed for handling data-intensive research in the biomedical field. For newcomers to Galaxy, it is advisable to begin with the introductory materials or explore the available help resources. You can also opt to set up your own instance of Galaxy by following the detailed tutorial and selecting from a vast array of tools available in the tool shed. The current Galaxy instance operates on infrastructure generously supplied by the Texas Advanced Computing Center. Furthermore, additional resources are mainly accessible through the Jetstream2 cloud, facilitated by ACCESS and supported by the National Science Foundation. Users can quantify, visualize, and summarize mismatches present in deep sequencing datasets, as well as construct maximum-likelihood phylogenetic trees. This platform also supports phylogenomic and evolutionary tree construction using multiple sequences, the merging of matching reads into clusters with the TN-93 method, and the removal of sequences from a reference that are within a specified distance of a cluster. Lastly, researchers can perform maximum-likelihood estimations to ascertain gene essentiality scores, making Galaxy a powerful tool for various applications in genomic research.

Description

Efficiently address tissue heterogeneity and the intricacies of microenvironments using the GeoMx Digital Spatial Profiler (DSP), which stands out as the most versatile and powerful spatial multi-omic platform for examining both FFPE and fresh frozen tissue sections. Unique among spatial biology platforms, GeoMx allows for non-destructive profiling of RNA and protein expression across various tissue compartments and cell populations, supported by an automated and scalable workflow that seamlessly integrates with conventional histology staining. You can spatially profile the entire transcriptome along with over 570 protein targets, either separately or concurrently, utilizing sample inputs such as whole tissue sections, tissue microarrays (TMAs), or organoids. By choosing GeoMx DSP, you position yourself at the forefront of spatial biology for effective biomarker discovery and hypothesis validation. With the ability to determine the relevant boundaries, you can rely on biology-driven profiling that enables you to focus on the tissue microenvironments and cell types that hold the most significance for your research. This innovative approach ensures that your analyses are both comprehensive and tailored to the specific biological contexts of interest.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Arch
CoinRoutes
Inn-Flow
Lybra Assistant

Integrations

Arch
CoinRoutes
Inn-Flow
Lybra Assistant

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Galaxy

Country

United States

Website

usegalaxy.org

Vendor Details

Company Name

nanoString

Country

United States

Website

nanostring.com/products/geomx-digital-spatial-profiler/geomx-dsp-overview/

Alternatives

Alternatives