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Description
In recent years, high-performance computing has become a more accessible resource for a greater number of researchers within the scientific community than ever before. The combination of quality open-source software and affordable hardware has significantly contributed to the widespread adoption of Beowulf class clusters and clusters of workstations. Among various parallel computational approaches, message-passing has emerged as a particularly effective model. This paradigm is particularly well-suited for distributed memory architectures and is extensively utilized in today's most demanding scientific and engineering applications related to modeling, simulation, design, and signal processing. Nonetheless, the landscape of portable message-passing parallel programming was once fraught with challenges due to the numerous incompatible options developers faced. Thankfully, this situation has dramatically improved since the MPI Forum introduced its standard specification, which has streamlined the process for developers. As a result, researchers can now focus more on their scientific inquiries rather than grappling with programming complexities.
Description
Signals Inventa, which was previously referred to as Signals Lead Discovery, represents an advanced data management solution designed for the evaluation of scientific findings. Utilizing the cutting-edge Signals Data Factory technology from PerkinElmer, it allows users to seamlessly access and analyze all scientific data gathered throughout the research and development process. Regardless of your project, Signals Inventa aids in determining which tests yield the most promising outcomes, guides decisions on future developments, and identifies areas for further testing, among many other capabilities. The platform ensures that data is standardized, organized, and primed for exploration. Additionally, Signals Inventa enhances scientific insight through various analytical techniques such as R-group decomposition, chemical clustering, matched molecular pair analysis, the identification of maximum chemical substructures, as well as blast searches across both internal and external databases, and sequence alignment. This comprehensive approach not only streamlines data analysis but also fosters innovative discoveries in the field.
API Access
Has API
API Access
Has API
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
MPI for Python
Website
mpi4py.readthedocs.io/en/stable/
Vendor Details
Company Name
PerkinElmer Informatics
Founded
1937
Country
United States
Website
perkinelmerinformatics.com/products/research/signals-inventa/