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Navigate oceans of data with

  COMPASS
A.I. Software for Mass Spec

Magellan's AI software overcomes fundamental obstacles

to realizing the true power of Mass Spec-based OMICS

COMPASS is Changing What's Possible in Mass Spec data analysis

The Problem with Current Mass Spec Software

PROBLEM: Mass spec data is opaque and inaccessible to the broader scientific community 

  • Deep technical expertise required

  • Huge file sizes and proprietary, inaccessible formats

  • Highly technical, focused software solutions

  • Software does not keep pace with instrument output

  • Workflows designed to generate results that are easy to consume, not for maximum insight

THE STATUS QUO: Mass spec is stuck in an age of physical hardware technology

  • Study sizes are highly constrained

  • Studies ignore information-rich data 

  • Data loss and data gaps are accepted

  • Data structure is not tractable for modern A.I. tools

  • Inability to cross-compare data from different studies

Use COMPASS to bring your mass spec research into the information age

Image by Matteo Bernardis

  Solution:      COMPASS

Unbiased

Considers data for all the molecular species instrument identifies

 

Works for different study designs-- proteomics, lipidomics, and metabolomics, and beyond

 

Agnostic to instrument and original output data file type

 

Can work with data (MS1) that are ignored in most other analyses

Comprehensive

Considers the data in its entirety, not a selection only

 

Total integration of mass spec datasets for parallel analysis of proteomics, lipidomics, and metabolomics data

 

Finds the most biologically relevant information, even if unexpected

 

Assesses validity of data signals across entire dataset

Fast

Turns data into insight in hours, not weeks or months, with visual outputs that allow for easy interpretation of results

Determine if a study generates discernable differences at the outset of analysis

 

Perform analyses using different parameters to maximize information extraction

 

Rapidly adjust to the data by altering experimental design or moving to the next study

Powerful

Uses proprietary computational tools to extract maximum information

 

Data restructuring is built for machine learning and AI

 

Designed for analysis of the most complex samples—efforts to reduce sample complexity are unnecessary

 

Designed for large studies—assess differences in the largest studies

Workflow Comparison: How is COMPASS different?

Sample Process

01

Run your mass spec as desired

Working with MZML files, our COMPASS software is instrument and method agnostic. 

02

Analyze entire data set with COMPASS

Before discarding any data, apply COMPASS to the entire data set, allowing it to find what data are relevant to your biological question

03

Dig further into data with our AI algorithms

COMPASS then identifies which algorithm(s) would be most useful in identifying deeper patterns or signatures in the data, increasing the power of the results

04

If desired, perform further analytical inquiry

Once COMPASS has identified which data are significant, further MS or more specialized software may be employed

Please click below to learn more about COMPASS, how it works, and how it can help your research

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