Orsburn Lab Software
Diagnostic Ion Data Analysis Reduction (D.I.D.A.R.)
In single cell proteomics, it is surprisingly easy to lose track of that one cell during sorting or digestion. DIDAR is a post acquisition, pre-data analysis pipeline that can quickly tell you if that cell in a multiplexed experiment made it to the mass spectrometer. Additional tools are on the way, but you can read the DIDAR preprint here (in review). Click below for the actual software.
GlueViz Single Cell
We use single cell proteomics to understand the level of heterogeneity that exists in a drug response across a population of cells. Tools didn't exist to let us see this, so we developed a patch for the open astronomy program GlueViz. GlueViz single cell allows us to examine the abundance of every protein or transcript in every single cell simultaneously. Simple filters can allow us to focus on individual proteins or pathways. In addition, we can overlay single cell proteomics and transcriptomics data.
Protein Cell Cycle Stripper
The largest proteomic differences in a population of similar single cells will nearly always be cell cycle proteins. In order to see most drug related responses you need to see behind these differences. While this has long existed in single cell transcriptomics, no parallel existed in proteomics. These simple tools will get you there.
More tools are available at the official orsburnlab Github.
If you find a fancy cat, you're in the right place.
Need to recalibrate an MGF, or just a range of that file?
We find TIMSTOFs a little wobbly in the reporter ion range.
Check out the pasefRiQ Calibrator.
Want to keep your ion mobility value around and use it in ANY software package?
