Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Streamline the entire selection process for reagents and model systems to eliminate costly inefficiencies and errors that lead to experimental failures. Accelerate project timelines by facilitating the selection of reagents and model systems in a mere 30 seconds, compared to the traditional 12-week duration. This transformation can significantly cut the hard costs associated with consumables, saving organizations millions annually. By restoring valuable research time to scientists, you can enhance the organization’s mission. Experience tangible business benefits from AI through a proven, ready-to-use application. More than 41,200 scientists across 15 of the leading 20 pharmaceutical companies, as well as over 4,450 academic institutions, leverage BenchSci’s AI-Assisted Antibody Selection to design more effective experiments, resulting in documented savings of millions per year in hard costs alone. However, it's important to note that antibodies account for only 40-50% of reagent-related failures. Access a comprehensive array of experimental evidence, along with catalog data for reagents and model systems, all within one user-friendly interface. This platform integrates real-world experiment data sourced from 11.2 million scientific publications, including those published in closed-access journals, providing an unparalleled resource for researchers. With this level of detailed information, scientists can make informed decisions that significantly enhance their research outcomes.
Description
Combinatorial barcoding technology revolutionizes the outdated limitations of traditional single-cell methodologies. By eliminating the need for specialized instruments, it empowers researchers to make groundbreaking discoveries with ease. This innovation allows for the profiling of anywhere from 1,000 to 1 million cells or nuclei in a single experiment, driving forward unparalleled advancements in science. Evercode combinatorial barcoding technology significantly outperforms droplet-based methods, enabling researchers to increase the scale of their experiments without the constraints of previous technologies. Enjoy enhanced data quality while avoiding the complexities and requirements of outdated hardware. Conduct single-cell experiments using only a pipette and standard laboratory tools, simplifying the process and making it more accessible. The split-pool combinatorial barcoding technique facilitates scalable single-cell analysis without relying on any specialized instruments, making it easier than ever to achieve scalable sequencing. Each kit includes a comprehensive set of reagents and user-friendly analysis software, streamlining the entire workflow from start to finish for optimal efficiency. This technology not only enhances research capabilities but also fosters a new era of accessibility in scientific exploration.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
Mac
No
Linux
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
BenchSci
Founded
2015
Country
Canada
Website
www.benchsci.com/platform/ai-assisted-reagent-selection
Vendor Details
Company Name
Parse Biosciences
Founded
2018
Country
United States
Website
www.parsebiosciences.com
Product Features
Scientific Data Management System (SDMS)
Analytics
No
Artificial Intelligence (AI)
No
Audit
No
Centralized Data Repository
No
Collaboration
No
Compliance
No
Data Security
No
ELN Integration
No
LIMS Integration
No
Workflows
No