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Description
The Biological Specimen Inventory (BSI) system stands out as an intuitive, robust, and secure cloud-based Laboratory Information Management System (LIMS). This adaptable solution is designed to cater to the specific requirements of organizations, ensuring effective and thorough tracking of the specimen lifecycle. It is suitable for both small laboratories and large pharmaceutical enterprises. The system accommodates multi-repository functionalities and interconnected networks, providing a tiered support structure that carries over annually. The base system comes equipped with a comprehensive range of features, allowing for the virtual tracking of an unlimited number of repository locations, each with its own distinct hierarchy and simple one-click processing capabilities. Furthermore, BSI enables task-specific specimen processing, monitors the creation and lineage of derivatives, and allows for the importation of delimited files into various system editors, along with seamless integration with other platforms through the BSI Hub and an extensive web service API. Its functionality includes capabilities for receiving specimens, verifying their contents, and documenting any discrepancies that may arise, ensuring meticulous management of biological samples. Additionally, the BSI system's versatility makes it an invaluable asset for any organization looking to streamline specimen handling and enhance overall operational efficiency.
Description
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
API Access
Has API
API Access
Has API
Integrations
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
Pricing Details
No price information available.
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
BSI Systems
Founded
2011
Country
United States
Website
www.bsisystems.com/bsi/
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Product Features
Lab Inventory Management
Barcode Scanning
Expiration Date Management
Purchasing
Reorder Management
Sample Management
Supply Management
Usage Tracking
Vendor Management
