Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Arnaud, Kress"'
Autor:
Ljudevit Luka Boštjančić, Caterina Francesconi, Christelle Rutz, Lucien Hoffbeck, Laetitia Poidevin, Arnaud Kress, Japo Jussila, Jenny Makkonen, Barbara Feldmeyer, Miklós Bálint, Klaus Schwenk, Odile Lecompte, Kathrin Theissinger
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background For over a century, scientists have studied host-pathogen interactions between the crayfish plague disease agent Aphanomyces astaci and freshwater crayfish. It has been hypothesised that North American crayfish hosts are disease-r
Externí odkaz:
https://doaj.org/article/07c190f8600f4634b7e4880f19eab134
Autor:
Ljudevit Luka Boštjančić, Caterina Francesconi, Christelle Rutz, Lucien Hoffbeck, Laetitia Poidevin, Arnaud Kress, Japo Jussila, Jenny Makkonen, Barbara Feldmeyer, Miklós Bálint, Klaus Schwenk, Odile Lecompte, Kathrin Theissinger
Publikováno v:
BMC Research Notes, Vol 15, Iss 1, Pp 1-4 (2022)
Abstract Objectives Crayfish plague disease, caused by the oomycete pathogen Aphanomyces astaci represents one of the greatest risks for the biodiversity of the freshwater crayfish. This data article covers the de novo transcriptome assembly and anno
Externí odkaz:
https://doaj.org/article/7bcc3a0f8d45415ba059fa7e381df87f
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
Protein annotation errors can have significant consequences in a wide range of fields, ranging from protein structure and function prediction to biomedical research, drug discovery, and biotechnology. By comparing the domains of different proteins, s
Externí odkaz:
https://doaj.org/article/54419616923b41a4894ea727592a1fa9
Autor:
Nicolas Scalzitti, Arnaud Kress, Romain Orhand, Thomas Weber, Luc Moulinier, Anne Jeannin-Girardon, Pierre Collet, Olivier Poch, Julie D. Thompson
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-26 (2021)
Abstract Background Ab initio prediction of splice sites is an essential step in eukaryotic genome annotation. Recent predictors have exploited Deep Learning algorithms and reliable gene structures from model organisms. However, Deep Learning methods
Externí odkaz:
https://doaj.org/article/dae123c3bbd74e8ba53ff17599644662
Autor:
Kirsley Chennen, Thomas Weber, Xavière Lornage, Arnaud Kress, Johann Böhm, Julie Thompson, Jocelyn Laporte, Olivier Poch
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236962 (2020)
The diffusion of next-generation sequencing technologies has revolutionized research and diagnosis in the field of rare Mendelian disorders, notably via whole-exome sequencing (WES). However, one of the main issues hampering achievement of a diagnosi
Externí odkaz:
https://doaj.org/article/b32e890b69c64902a068518e1158ea3a
Autor:
Véronique Geoffroy, Jean-Baptiste Lamouche, Thomas Guignard, Samuel Nicaise, Arnaud Kress, Sophie Scheidecker, Antony Le Béchec, Jean Muller
Publikováno v:
Nucleic Acids Research
Nucleic Acids Research, 2023, ⟨10.1093/nar/gkad426⟩
Nucleic Acids Research, 2023, ⟨10.1093/nar/gkad426⟩
Much of the human genetics variant repertoire is composed of single nucleotide variants (SNV) and small insertion/deletions (indel) but structural variants (SV) remain a major part of our modified DNA. SV detection has often been a complex question t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4c6d7b1c894060aa6bc2436ba614b5
https://hal.science/hal-04151442
https://hal.science/hal-04151442
Autor:
Thomas Guignard, Audrey Schalk, Jean-Baptiste Gaillard, Hélène Dollfus, Tor Solli-Nowlan, Véronique Geoffroy, Arnaud Kress, Vincent Gatinois, Sophie Scheidecker, Jean Muller
Publikováno v:
Nucleic Acids Research
Nucleic Acids Research, 2021, 49, ⟨10.1093/nar/gkab402⟩
Nucleic Acids Research, Oxford University Press, 2021, 49, ⟨10.1093/nar/gkab402⟩
Nucleic Acids Research, 2021, 49, ⟨10.1093/nar/gkab402⟩
Nucleic Acids Research, Oxford University Press, 2021, 49, ⟨10.1093/nar/gkab402⟩
With the dramatic increase of pangenomic analysis, Human geneticists have generated large amount of genomic data including millions of small variants (SNV/indel) but also thousands of structural variations (SV) mainly from next-generation sequencing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8105caf4d61ce8eab00029b9c05be7ee
https://doi.org/10.1093/nar/gkab402
https://doi.org/10.1093/nar/gkab402
Autor:
Yannis, Nevers, Tamsin E M, Jones, Dushyanth, Jyothi, Bethan, Yates, Meritxell, Ferret, Laura, Portell-Silva, Laia, Codo, Salvatore, Cosentino, Marina, Marcet-Houben, Anna, Vlasova, Laetitia, Poidevin, Arnaud, Kress, Mark, Hickman, Emma, Persson, Ivana, Piližota, Cristina, Guijarro-Clarke, Wataru, Iwasaki, Odile, Lecompte, Erik, Sonnhammer, David S, Roos, Toni, Gabaldón, David, Thybert, Paul D, Thomas, Yanhui, Hu, David M, Emms, Elspeth, Bruford, Salvador, Capella-Gutierrez, Maria J, Martin, Christophe, Dessimoz, Vicky, Sundesha
Publikováno v:
Nucleic acids research.
The Orthology Benchmark Service (https://orthology.benchmarkservice.org) is the gold standard for orthology inference evaluation, supported and maintained by the Quest for Orthologs consortium. It is an essential resource to compare existing and new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0d8a1ea99800c5f44f00413ebb9fffde
https://pubmed.ncbi.nlm.nih.gov/35552456
https://pubmed.ncbi.nlm.nih.gov/35552456
Autor:
Ljudevit Luka Boštjančić, Caterina Francesconi, Christelle Rutz, Lucien Hoffbeck, Laetitia Poidevin, Arnaud Kress, Japo Jussila, Jenny Makkonen, Barbara Feldmeyer, Miklós Bálint, Klaus Schwenk, Odile Lecompte, Kathrin Theissinger
Publikováno v:
BMC Research Notes
BMC Research Notes, 2022, 15, pp.281. ⟨10.1186/s13104-022-06137-6⟩
BMC Research Notes, 2022, 15, pp.281. ⟨10.1186/s13104-022-06137-6⟩
Objectives Crayfish plague disease, caused by the oomycete pathogen Aphanomyces astaci represents one of the greatest risks for the biodiversity of the freshwater crayfish. This data article covers the de novo transcriptome assembly and annotation da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7962218b80373b26d0c4c54e55c37993
https://hal.science/hal-03761181/document
https://hal.science/hal-03761181/document
Autor:
Julie D. Thompson, Luc Moulinier, Olivier Poch, Romain Orhand, Pierre Collet, Anne Jeannin-Girardon, Arnaud Kress, Thomas Weber, Nicolas Scalzitti
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, 2021, 22 (1), pp.561. ⟨10.1186/s12859-021-04471-3⟩
BMC Bioinformatics, 2021, 22, pp.561. ⟨10.1186/s12859-021-04471-3⟩
BMC Bioinformatics, BioMed Central, 2021, 22, pp.561. ⟨10.1186/s12859-021-04471-3⟩
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-26 (2021)
BMC Bioinformatics, 2021, 22 (1), pp.561. ⟨10.1186/s12859-021-04471-3⟩
BMC Bioinformatics, 2021, 22, pp.561. ⟨10.1186/s12859-021-04471-3⟩
BMC Bioinformatics, BioMed Central, 2021, 22, pp.561. ⟨10.1186/s12859-021-04471-3⟩
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-26 (2021)
Background Ab initio prediction of splice sites is an essential step in eukaryotic genome annotation. Recent predictors have exploited Deep Learning algorithms and reliable gene structures from model organisms. However, Deep Learning methods for non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74fee1e1006bc150643cae02e7e08f2f
https://doi.org/10.1186/s12859-021-04471-3
https://doi.org/10.1186/s12859-021-04471-3