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Currently, large-scale glycoproteomics approaches rely on glycan database dependent algorithms and are thus unsuitable for discovery-driven analyses of glycoproteomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Therefore, we devised SugarPy, a glycan database independent Python module, and validated it on the glycoproteome of human breast milk. We further demonstrated its applicability by analyzing glycoproteomes with uncommon glycans stemming from the green alga Chlamydomonas reinhardtii and the archaeon Haloferax volcanii. SugarPy also facilitated the novel characterization of glycoproteins from the red alga Cyanidioschyzon merolae.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The source code is freely available on GitHub (https:\/\/github.com\/SugarPy\/SugarPy), and its implementation in Python ensures support for all operating systems.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa1042","type":"journal-article","created":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T18:52:26Z","timestamp":1607367146000},"page":"5330-5336","source":"Crossref","is-referenced-by-count":12,"title":["SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4771-7987","authenticated-orcid":false,"given":"Stefan","family":"Schulze","sequence":"first","affiliation":[{"name":"Department of Biology, University of Pennsylvania , Philadelphia, PA 19104, USA"},{"name":"Faculty of Biology, Institute of Plant Biology and Biotechnology, University of M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Anne","family":"Oltmanns","sequence":"additional","affiliation":[{"name":"Faculty of Biology, Institute of Plant Biology and Biotechnology, University of M\u00fcnster, M\u00fcnster, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7048-6822","authenticated-orcid":false,"given":"Christian","family":"Fufezan","sequence":"additional","affiliation":[{"name":"Faculty of Biology, Institute of Plant Biology and Biotechnology, University of M\u00fcnster, M\u00fcnster, Germany"},{"name":"Faculty of Biology, Institute of Pharmacy and Molecular Biotechnology, Heidelberg University , Heidelberg, Germany"}]},{"given":"Julia","family":"Kr\u00e4genbring","sequence":"additional","affiliation":[{"name":"Faculty of Biology, Institute of Plant Biology and Biotechnology, University of M\u00fcnster, M\u00fcnster, Germany"},{"name":"Faculty of Medicine, Institute for Hygiene, University of M\u00fcnster, M\u00fcnster, Germany"}]},{"given":"Michael","family":"Mormann","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Institute for Hygiene, University of M\u00fcnster, M\u00fcnster, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7729-1342","authenticated-orcid":false,"given":"Mechthild","family":"Pohlschr\u00f6der","sequence":"additional","affiliation":[{"name":"Department of Biology, University of Pennsylvania , Philadelphia, PA 19104, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3956-3922","authenticated-orcid":false,"given":"Michael","family":"Hippler","sequence":"additional","affiliation":[{"name":"Faculty of Biology, Institute of Plant Biology and Biotechnology, University of M\u00fcnster, M\u00fcnster, Germany"},{"name":"Faculty of Sciences, Institute of Plant Science and Resources, Okayama University , Kurashiki, Japan"}]}],"member":"286","published-online":{"date-parts":[[2020,12,26]]},"reference":[{"key":"2023062803481027100_btaa1042-B1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.sbi.2019.11.009","article-title":"Recent advances in glycoinformatic platforms for glycomics and glycoproteomics","volume":"62","author":"Abrahams","year":"2020","journal-title":"Curr. 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