Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/91100

TítuloBioinformatic tools for exploring the SUMO gene network: An update
Autor(es)Castro, Pedro Humberto
Santos, Miguel Ângelo
Magalhães, Alexandre Papadopoulos
Tavares, R. M.
Azevedo, Herlander
Palavras-chaveArabidopsis
Bioinformatics
Data mining
Functional categorization
Gene expression
Gene network
Posttranslational modification
Small ubiquitin-related modifier (SUMO)
Data2023
RevistaMethods in Molecular Biology
Resumo(s)Plant sumoylation research has seen significant advances in recent years, particularly since high-throughput proteomic strategies have enabled the discovery of more than one thousand SUMO targets. In the present chapter, we update the previously reported SUMO (small ubiquitin-related modifier) gene network (SGN) to its v4 iteration. SGN is a curated assembly of Arabidopsis thaliana genes that have been functionally associated with sumoylation, from SUMO pathway components to targets and interactors. The enclosed tutorial helps interpret and manage these datasets and details bioinformatic tools that can be used for in silico-based hypothesis generation. The latter include tools for sumoylation site prediction, comparative genomics, and gene network analysis.
TipoCapítulo de livro
URIhttps://hdl.handle.net/1822/91100
DOI10.1007/978-1-0716-2784-6_26
ISSN1064-3745
36413331
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CBFP - Livros e Capítulos de Livros/Books and Books Chapters

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Chapter - Castro PH et al. (2022) Bioinformatics tools for exploring the SUMO Gene Network, an update.pdf
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