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- Software type:
- Restrictions to use:
- Operating system:
- Command line interface
- Input format:
- TXT, MGF
- Computer skills:
- Jong Shin Yoo <jongshin at kbsi.re.kr>
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- (Park GW et al., 2016) Integrated GlycoProteome Analyzer (I-GPA) for Automated Identification and Quantitation of Site-Specific N-Glycosylation. Sci Rep. PMID: 26883985 DOI: 10.1038/srep21175
Department of Mass Spectrometry, Korea Basic Science Institute, Ochang, Korea; Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Korea; Department of Biomedical Science, Cheongju University, Cheongju, Korea; Department of Chemistry, Hannam University, Daejeon, Korea; Department of Chemistry, Sogang University, Seoul, Korea; Cancer Biomarkers Development Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea; Department of Food Nutrition, Chungnam National University, Daejeon, Korea; Yonsei Proteome Research Center and Department of Integrated OMICS for Biomedical Science, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea; Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea
This research was supported by the National Research Council of Science and Technology (CAP-15-03-KRIBB); by the Korea Health Technology R&D Project, through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (HI13C2098); and by the research program through the Korea Basic Science Institute (G35110).