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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
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
API Access
Has API
API Access
Has API
Integrations
Python
R
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
BioTuring Browser
Country
United States
Website
bioturing.com/bbrowser
Vendor Details
Company Name
TWAICE Technologies
Country
Germany
Website
twaice.com
Product Features
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
