WITH ARTIFICIAL INTELLIGENCE
MSAID will be presenting software innovations at the 70th ASMS Conference on Mass Spectrometry on June 5 - 9th in Minneapolis. Come and visit our booth #526 and talk to us about our exciting software solutions.
THE FUTURE OF PROTEOMIC DATA ANALYSIS SOFTWARE
MSAID [ɛm ɛs eɪd] transforms the way scientists analyze proteomics data. We aid mass spectrometry with AI by providing cutting-edge software and data analysis services for proteomics using powerful machine learning algorithms.
THE NEW INTELLIGENT SEARCH ALGORITHM
An AI-driven leap forward in peptide identification
TRANSFORMING PROTEOMICS WITH AI-DRIVEN SOFTWARE SOLUTIONS
Powered by vast amounts of training data, we develop deep learning models for bottom-up proteomics and integrate them into innovative software solutions:+ INFERYS: The versatile deep learning framework
+ INFERYS Rescoring: The powerful AI-upgrade
+ CHIMERYS: The AI-driven intelligent search algorithm
CUSTOM DEEP LEARNING MODELS
Our generic deep learning framework provides the flexibility to expand our prediction capabilities and customize them to your needs, instruments, and infrastructure.
DEEP LEARNING-BASED DATA ANALYSIS
We have developed next-generation data analysis services that reliably identify up to three times more peptide-spectrum-matches than classical workflows.
CUSTOM IN-SILICO SPECTRAL LIBRARIES
Generating spectral libraries is cumbersome, expensive, and rarely comprehensive. Predicted spectral libraries can be generated for any peptide sequence and organism.
With our long-standing expertise in proteomics and proteomic data analysis, we are the perfect partner to test, evaluate and improve your proteomics data workflows.