Scaffold Software Solutions
Proteome Software offers a variety of proteomics, metabolomics, and small molecule mass spectrometry software solutions for handling large-scale, data-rich biological identification or quantitative experiments. We innovate on the leading edge of MS/MS analytics, and our software tools are used in hundreds of laboratories and universities around the world.
Free viewer Collaborate and share results using the cross-platform Free Viewer for all the Scaffold Software tools. Select a product below and click the installer you need on the left side. Without a license, all our tools function as a Free Viewer.
Scaffold DDA
Experiment-driven Labeled and Label-free Quantitative Analysis
Analyze iTRAQ/TMT data from Proteome Discoverer, Mascot, or PEAKS mzIdentML files or label-free/isobaric-labeled samples from Scaffold
Scaffold DIA
The Look and Feel of Scaffold, the Power of DIA
Search raw DIA data against various DDA library formats, Prosit predictions, or sample-specific DIA-only custom libraries
Scaffold 5
The Industry Standard DDA MS/MS Proteomics Tool
Search raw data directly with MS Fragger* integration and load precursor intensity data from FragPipe
Scaffold Q+S
A Full Suite of Tools for Labeled and Precursor Intensity Quantitation
Quantify proteins using iTRAQ, TMT, SILAC, and precursor intensity values
Scaffold Elements
Scaffold Software Meets Small Molecule LC-MS Analysis
Identify and quantify small molecules using MS1 or MS/MS data
Scaffold PTM
Illuminating the World of Protein Post Translational Modifications
Evaluate modification site assignment confidence using Ascore and Ascore-derived probabilities
Scaffold Variants
Proteogenomics: genomics and proteomics
Find genetic variation from your MS/MS proteomics data
Core Facilities
Managing a core facility or shared resource department? Need help with gaps in your software pipeline? Want to try new methods like DIA proteomics? Do you need a free and easy way to share results with your customers?
Researchers
Need an elegant yet easy to use solution for data processing? Not sure where to begin when starting up a new lab. Let us help take the pressure off setting up a software pipeline so you can focus on the science.