Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maurits Dijkstra"'
Autor:
Henriette Capel, Robin Weiler, Maurits Dijkstra, Reinier Vleugels, Peter Bloem, K. Anton Feenstra
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are of
Externí odkaz:
https://doaj.org/article/7b91040ffdbc41db983c05a58afbcf44
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 11, p e1006547 (2018)
Protein or DNA motifs are sequence regions which possess biological importance. These regions are often highly conserved among homologous sequences. The generation of multiple sequence alignments (MSAs) with a correct alignment of the conserved seque
Externí odkaz:
https://doaj.org/article/24a4fa5925ab47d1920329fc0cef3fef
Autor:
Robin Weiler, Peter Bloem, Maurits Dijkstra, Anton Feenstra, Henriette Capel, Reinier Vleugels
Publikováno v:
Capel, H, Weiler, R, Dijkstra, M, Vleugels, R, Bloem, P & Feenstra, K A 2022, ' ProteinGLUE multi-task benchmark suite for self-supervised protein modeling ', Scientific Reports, vol. 12, 16047, pp. 1-14 . https://doi.org/10.1038/s41598-022-19608-4
Scientific Reports, 12:16047, 1-14. Nature Publishing Group
Scientific Reports, 12:16047, 1-14. Nature Publishing Group
Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are often evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9304bd661197d2da97756fb79e56121
https://doi.org/10.21203/rs.3.rs-1181299/v1
https://doi.org/10.21203/rs.3.rs-1181299/v1
Autor:
Henriette Capel, Robin Weiler, Maurits Dijkstra, Reinier Vleugels, Peter Bloem, K. Anton Feenstra
Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are often evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20030a62d5dcb2aecd8b5ec3c64b684d
https://doi.org/10.1101/2021.12.13.472460
https://doi.org/10.1101/2021.12.13.472460
Autor:
Punto, Bawono, Maurits, Dijkstra, Walter, Pirovano, Anton, Feenstra, Sanne, Abeln, Jaap, Heringa
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1525
The increasing importance of Next Generation Sequencing (NGS) techniques has highlighted the key role of multiple sequence alignment (MSA) in comparative structure and function analysis of biological sequences. MSA often leads to fundamental biologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::558f34ac1d7cbe19211f4ed7518f9cf3
https://pubmed.ncbi.nlm.nih.gov/27896722
https://pubmed.ncbi.nlm.nih.gov/27896722