Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
C
Yes
C++
Yes
Fortran
Yes
NumPy
Yes
Python
Yes
Signals Research Suite
No
Integrations
C
No
C++
No
Fortran
No
NumPy
No
Python
No
Signals Research Suite
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
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/