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Navigate oceans of data with

A.I. Software for Mass Spec

Magellan's AI software brings the power of Mass Spec-based OMICS

to the general research community

COMPASS makes Mass Spec data analysis fast, easy, and ACCESSIBLE

Study Design and Workflow


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

Workflow Comparison: How is COMPASS different?

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

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

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