Aarhus University Seal / Aarhus Universitets segl

Carsten Scavenius

MS Data Miner: A web-based software tool to analyze, compare and share mass spectrometry protein identifications

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Data processing and analysis of proteomics data are challenging and time consuming. In this paper, we present MS Data Miner (MDM) (http://sourceforge.net/p/msdataminer), a freely available web-based software solution aimed at minimizing the time required for the analysis, validation, data comparison, and presentation of data files generated in MS software, including Mascot (Matrix Science), Mascot Distiller (Matrix Science) and ProteinPilot (AB Sciex). The program was developed to significantly decrease the time required to process large proteomic data sets for publication. This open sourced system includes a spectra validation-system and an automatic screenshot generation tool for Mascot-assigned spectra. In addition, a GO term analysis function and a tool for generating comparative Excel data-reports are included. We illustrate the benefits of MDM during a proteomics study comprised of more than 200 LC-MS/MS analyses recorded on an AB Sciex TripleTOF 5600, identifying more than 3000 unique proteins and 3.5 million peptides.
Original languageEnglish
Pages (from-to)2792-2796
Number of pages5
Publication statusPublished - Sep 2012

    Research areas

  • Bioinformatics, Distiller, Mascot, MS Analysis, Protein Identification, ProteinPilot

See relations at Aarhus University Citationformats

ID: 47740658