Premium Feature — Available only with Premium Editions of LabKey Server through the Panorama Partners Program. Learn more about Panorama Partners or contact LabKey.

Multi-Attribute Method (MAM) analysis improves simultaneous detection, identification, quantitation, and quality control (monitoring) of molecular attributes. Panorama includes MAM-specific reporting with its analytics, offering immediate results and data sharing to any imported data. Additionally, Panorama and AutoQC’s automated workflow provide longitudinal tracking of MAM-related metrics for QC purposes.


A poster detailing how Panorama features support for MAM-related reports was presented at the ASMS (American Society for Mass Spectrometry) Conference in 2020:


Multi-Attribute Method (MAM) Folder

The Multi-Attribute Method folder is the same as the Experiment Data folder with additional reports provided.

To set one up:

  • Create a new project or folder, choosing folder type Panorama.
  • On the Configure Panorama Folder page, select Multi-Attribute method (MAM).

You can also change an existing Experiment folder to add the MAM reports by going to (Admin) > Folder > Management > Module Properties and setting TargetedMS Folder Type to "ExperimentMAM" for the folder.

You'll see links to the additional reports in the Document Summary section.

Post-translational Modification (PTM) Report

The Post-translational Modification (PTM) Report shows the proportion for each peptide variant’s peak area across samples. Panorama automatically groups peptides with identical unmodified sequences, but a user can configure alternative groupings within the Skyline document, to group splice variants, for example.

Peptide Map Report

The Peptide Map Report shows the observed peptides in the MAM analysis, sorted by retention time.

  • It compares the observed and expected masses, and the modifications for each peptide variant.
  • Shows the protein chain and the peptide location as two separate columns instead of combining into a single column.
  • Includes the next and previous amino acids in the sequence column.
  • Shows the location of modifications on the protein/peptide sequence in addition to just the modification name.

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