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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.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
R Yes 

Integrations

Python No 
R No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

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

Customer Support

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

Customer Support

Business Hours Yes 
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 No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

BioTuring Browser

Country

United States

Website

bioturing.com/bbrowser

Vendor Details

Company Name

nanoString

Country

United States

Website

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

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