| Literature DB >> 34236658 |
Julien Mariethoz1,2, Catherine Hayes1,2, Frédérique Lisacek3,4.
Abstract
Glycoproteomics is unquestionably on the rise and its current development benefits from past experience in proteomics, in particular when attending to bioinformatics needs. An extensive range of software solutions is available, but the reproducibility of mass spectrometry data processing remains challenging. One of the key issues in running automated glycopeptide identification software is the selection of a reference glycan composition file. The default choices are often too broad, and a fastidious literature search to properly target this selection can be avoided. This chapter suggests the use of GlyConnect Compozitor to collect relevant information on glycosylation in a given tissue or cell line and shape an appropriate glycan composition set that can be input in the majority of search engines accommodating user-defined compositions.Entities:
Keywords: Database; Glycan; Glycopeptide identification; Glycosylation; Software
Mesh:
Substances:
Year: 2021 PMID: 34236658 DOI: 10.1007/978-1-0716-1641-3_7
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745