Please download the latest version of MSCohort in the release area on the right.
MSCohort is a tool for extracting comprehensive metrics and assisting users in evaluating and optimizing the performance of DIA proteomics data. The workflow of MSCohort consists of two modules: Intra-experiment analysis and inter-experiment analysis. Intra-experiment analysis enables the systematic evaluation and optimization of individual DIA experiments. Inter-experiment analysis enables the systematic quality evaluation and low-quality experiments detection for large cohort experiments.
More importantly, MSCohort provides a comprehensive quality assessment report for large-scale experiments, which assists in detecting the variations across experiments and instruments, flagging low-performing experiments, and correcting the heterogeneity between experiments, to facilitate data quality control and experimental standardization with large cohort studies. It enables the analysis of vendor data generated from Thermo Orbitrap, Bruker timsTOF, and SCIEX ZenoTOF instruments. Taken together, these features make MSCohort a valuable software tool for evaluating and optimizing the performance of experiments for large cohort proteomics studies.
The demo dataset has been deposited to the ProteomeXchange Consortium (https://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifier PXD057133 (in ProteomeXchange) and IPX0010061000 (in iProX). You can use the following link https://www.iprox.cn/page/project.html?id=IPX0010061000 to download Demo dataset for testing and using MSCohort.
RAM: 16G or higher is recommended
ROM: for one raw data 1G or higher is recommended
OS: Windows10 or higher
Please read “Manual for MSCohort.pdf” to learn the usage of MSCohort.
GPLv3 (General Public License version 3.0), details in the LICENSE file.
For any questions involving MSCohort, please contact us by email.
Xiang Liu, [email protected]
Chao Liu, [email protected]