Organize & Share Data With Free Scaffold, Q+ and PTM Viewers
Download Scaffold/Q+ Viewers:
>> Scaffold 3 Current Release <<
Legacy Viewers
>> Scaffold 2.6 <<
>> Scaffold 1.7 << Scaffold only (no Q+ available for this version)
Download Scaffold PTM Viewer:
>> Scaffold PTM Current Release <<
The Free Viewer is an advanced way to share data with collaborators, allowing them to view the data you want to share. The Viewer presents results as probability scores, allowing you to balance the number of proteins and the confidence level of each identification. Scaffold displays a complete experiment-wide view and automatically annotates your protein IDs with relevant biological documentation. And when you're ready to publish your findings, Scaffold gathers the key information needed to meet journal requirements and automatically formats data for submission.
All the Viewers are free. Just download and install Scaffold, Q+ or PTM, then click "Free Viewer" the first time you run the program. No software "key" is needed to use Scaffold, Q+ or PTM in viewer mode.
Data Analysis Problems? |
Scaffold Viewer Solutions |
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Need experiment-wide views? |
Get results in the same format as your experimental design. |
Want to view supporting data? |
Easily view spectra, peptide coverage and similar proteins |
Interested in statistical probabilities? |
Verify that statistics are valid for your data. |
Required to meet journal standards? |
Automatically collect and report supporting data. |
Concerned about protein annotation? |
Tie protein IDs to key biological documentation. |
Free Viewer lets you:
>> View proteins in multiple samples, both replicate and different experimental conditions.
>> Organize your replicate samples into categories reflecting your experimental conditions.
>> View all your samples at once.
>> See the proteins as a group when your MS/MS data can't distinguish between proteins.
>> Filter tenative protein identifications by protein or peptide probability.
>> Validate protein identifications by drilling down to the sequence coverage supporting the proteins.
>> Validate sequence coverage by drilling down to the peptides supporting the coverage.
>> Validate peptide identifications by drilling down to the spectra supporting the peptides.
See also "Scaffold for Core Labs"
