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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

01

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

02

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

03

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

04

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

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

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

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