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  COMPASS A.I. Software

Scientists without Mass Spec experience can now utilize this powerful tool in their research 

Magellan's AI software brings the power of Mass Spec-based OMICS to the general research community


Learn how... or try a free 'Sandbox' version of our software

COMPASS makes Mass Spec

data analysis fast, easy, and ACCESSIBLE

COMPASS enhances discovery…


  • Rapidly extracts ALL of the data connected to biological differences

  • Works with even the largest datasets

  • Identifies key molecules without bias towards abundance or familiarity

  • Provides built-in visual outputs that facilitate biological insight

  • Compares signal and noise for confidence that goes beyond standard statistics



…and has many research applications


  • Define molecular differences between the most subtle biological differences

  • Track molecular changes across time or across populations

  • Build OMICs-based machine learning tests for biological differences

  • Use machine learning to stratify subjects based on mass spec-based OMICs

Getting Started with
Mass Spec-Based OMICs


Generate a set of samples with one or more groups to compare


Process the samples using any common, relevant mass spec method.  Consider use of a core facility or CRO

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


Upload the resultant mass spec files into COMPASS and initiate a new project 


Use COMPASS analytics to extract and visualize the information hidden in the mass spec data 

Apply COMPASS to the entire data set, allowing it to find what data are relevant to your biological question


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

Readouts are presented in graphical and numerical formats that are digestible to non-mass spec experts

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

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COMPASS: Mass Spec-based OMICs
for the broader research community

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


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


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


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


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

If you have questions or would like to discuss how you could use COMPASS, please reach out below

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