IntelliMS: A platform to efficiently manage and visualize tandem mass spectral data

Min Seok Kwon, Hyoung Joo Lee, Seul Ki Jeong, Eun Young Lee, Sang Yun Cho, Young Ki Paik

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

With the development of high-speed mass spectrometric techniques, it becomes important to manage large amounts of spectrometric data accurately. We have developed a new data management system with a visualization function named IntelliMS, which can load data into a search engine, filter out the insignificant data, create diagrams of the identification process from spectra to protein and share all the resulting datasets. This software can be used to efficiently manage complicated mass spectral data and the corresponding protein identification information obtained from various proteomics analyses.

Original languageEnglish
Pages (from-to)4910-4913
Number of pages4
JournalProteomics
Volume8
Issue number23-24
DOIs
Publication statusPublished - 2008 Dec

Bibliographical note

Funding Information:
This study was suported by the Grant MSM 6215712402 of the Ministry of Education, Youth and Sports of the Czech Republic. We thank Dr. Serge Mironov (ZISP) for critical reviewing of the manuscript. We also thank Petr Podzemny, Brno, Czech Republic for photographs of Harpyrhynchoides rubeculinus and Erithacus rubecula.

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology

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