From 54680d6a24c9c7ee93e061d05c8a39ffff31843b Mon Sep 17 00:00:00 2001 From: lfnothias Date: Thu, 3 Aug 2017 11:24:08 -0700 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8a72128..8813ce0 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # MassFuser: a workflow for combining MS1 and MS2 data from replicate LC-MS runs -The idea behind MassFuser is to take advantage of the high resolution acquisition mode of modern mass spectrometers, and at the same time overcome its inherent limitation of longer instrument duty cycles. The principal use case of MassFuser is combining the data from replicate LC-MS runs, one of which is acquired in high resolution mode, giving accurate m/z values in MS1 scans, whereas the other one is processed with lower resolution mode and data independent MS/MS acquisition enabled. Thus, both LC-MS runs contain complementary information, which gets merged by MassFuser allowing for downstream analysis with any software tools accepting regular LC-MS data. +The idea behind MassFuser is to take advantage of the high resolution acquisition mode of modern mass spectrometers, and at the same time overcome its inherent limitation of longer instrument duty cycles. The principal use case of MassFuser is combining the data from replicate LC-MS runs, one of which is acquired in high resolution mode, giving accurate m/z values in MS1 scans, whereas the other one is processed with lower resolution mode and data independent MS/MS acquisition enabled. Thus, both LC-MS runs contain complementary information, which gets merged by MassFuser allowing downstream processing with any open software tools accepting mzML format. The workflow is being developed by [Alexandrov Team](http://www.embl.de/research/units/scb/alexandrov/index.html) at EMBL Heidelberg ([contact information](http://www.embl.de/research/units/scb/alexandrov/contact/index.html)) in collaboration with Louis-Félix Nothias ([Pieter Dorrestein Lab, UCSD](http://dorresteinlab.ucsd.edu/Dorrestein_Lab/Welcome.html)).