Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Catherine Belleannée"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011404 (2023)
Numerous computational methods based on sequences or structures have been developed for the characterization of protein function, but they are still unsatisfactory to deal with the multiple functions of multi-domain protein families. Here we propose
Externí odkaz:
https://doaj.org/article/9c1a1b04859040578efcd3e7f2373bb1
Identifying genes with conserved splicing structure and orthologous isoforms in human, mouse and dog
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-14 (2022)
Abstract Background In eukaryote transcriptomes, a significant amount of transcript diversity comes from genes’ capacity to generate different transcripts through alternative splicing. Identifying orthologous alternative transcripts across multiple
Externí odkaz:
https://doaj.org/article/959ba97ff767477c9ddc09157756ff43
Autor:
Yves Bigot, Thierry Lecomte, Ahmed Arnaoty, Isabelle Stévant, Peter Arensburger, Vincent Coustham, Aymeric Antoine-Lorquin, Martine Batailler, Laura Helou, Serge Guyétant, Nicolas Buisine, Bruno Pitard, Sassan Asgari, Linda Beauclair, Catherine Belleannée
Publikováno v:
Genomics
Genomics, Elsevier, 2021, 113 (3), pp.1589-1604. ⟨10.1016/j.ygeno.2021.03.032⟩
Genomics, 2021, 113 (3), pp.1589-1604. ⟨10.1016/j.ygeno.2021.03.032⟩
Genomics, Elsevier, 2021, 113 (3), pp.1589-1604. ⟨10.1016/j.ygeno.2021.03.032⟩
Genomics, 2021, 113 (3), pp.1589-1604. ⟨10.1016/j.ygeno.2021.03.032⟩
International audience; Setmar is a gene specific to simian genomes. The function(s) of its isoforms are poorly understood and their existence in healthy tissues remains to be validated. Here we profiled SETMAR expression and its genome-wide binding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28d23d61fed90ab9656c31a4485712a7
https://hal.archives-ouvertes.fr/hal-03385429
https://hal.archives-ouvertes.fr/hal-03385429
Autor:
Serge Guyetant, Catherine Belleannée, Aymeric Antoine-Lorquin, Martine Batailler, Alban Girault, Thierry Lecomte, Sassan Asgari, Vincent Coustham, Solenne Bire, Isabelle Stévant, Benoît Piégu, Nicolas Buisine, Bruno Pitard, Linda Beauclair, Yves Bigot, Ahmed Arnaoty
Setmar is a 3-exons gene coding a SET domain fused to a Hsmar1 transposase. Its different transcripts theoretically encode 8 isoforms with SET moieties differently spliced. In vitro, the largest isoform binds specifically to Hsmar1 DNA ends and with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d229b07976d1003594f709fb13295882
https://hal.science/hal-01558001/document
https://hal.science/hal-01558001/document
Publikováno v:
Pattern Recognition in Bioinformatics ISBN: 9783319091914
PRIB
PRIB2014-Pattern Recognition in Bioinformatics, 9th IAPR International Conference
PRIB2014-Pattern Recognition in Bioinformatics, 9th IAPR International Conference, Lukas KALL, Aug 2014, Stockholm, Sweden. pp.34-47, ⟨10.1007/978-3-319-09192-1_4⟩
PRIB
PRIB2014-Pattern Recognition in Bioinformatics, 9th IAPR International Conference
PRIB2014-Pattern Recognition in Bioinformatics, 9th IAPR International Conference, Lukas KALL, Aug 2014, Stockholm, Sweden. pp.34-47, ⟨10.1007/978-3-319-09192-1_4⟩
Most of the current practice of pattern matching tools is oriented towards finding efficient ways to compare sequences. This is useful but insufficient: as the knowledge and understanding of some functional or structural aspects of living systems imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0cf9ea0fdce4aa5b0bc91184a32f4a5
https://doi.org/10.1007/978-3-319-09192-1_4
https://doi.org/10.1007/978-3-319-09192-1_4
Autor:
Jacques Nicolas, Catherine Belleannée
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540538165
EWSL
EWSL
An adaptative theorem prover is a system able to modify its current set of inference rules in order to improve its performance on a specific domain. We address here the issue of the generation of inference rules, without considering the selection and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55a0f8b925ac10262e83d36f2a3d936
https://doi.org/10.1007/bfb0017022
https://doi.org/10.1007/bfb0017022
Autor:
Guillaudeux, Nicolas
Publikováno v:
Autre [cs.OH]. Université Rennes 1, 2021. Français. ⟨NNT : 2021REN1S079⟩
Living organisms are capable of expressing several alternative transcripts (or RNAs) from a single gene. These transcripts are responsible for the regulatory mechanisms of the organism, some of them are translated into protein. Today, detecting the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d8df11a4ff30a8f0a752725dbcd7b953
https://theses.hal.science/tel-03593091v2/document
https://theses.hal.science/tel-03593091v2/document
Autor:
Guillaudeux, Nicolas
Publikováno v:
Bio-Informatique, Biologie Systémique [q-bio.QM]. Université Rennes 1, 2021. Français
Living organisms are capable of expressing several alternative transcripts (or RNAs) from a single gene. These transcripts are responsible for the regulatory mechanisms of the organism, some of them are translated into protein. Today, detecting the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2755::d475c99b71125b16f0732f474cf34fd6
https://tel.archives-ouvertes.fr/tel-03540882
https://tel.archives-ouvertes.fr/tel-03540882
Autor:
Dennler, Olivier
Publikováno v:
Bio-informatique [q-bio.QM]. 2019
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e51303f5b5f0be4d9aba5e374346fd23
https://hal.inria.fr/hal-02403084
https://hal.inria.fr/hal-02403084
De l'intérêt des modèles grammaticaux pour la reconnaissance de motifs dans les séquences génomiques
Autor:
Antoine-Lorquin, Aymeric
Publikováno v:
Bio-informatique [q-bio.QM]. Université de Rennes, 2016. Français. ⟨NNT : 2016REN1S086⟩
Bio-informatique [q-bio.QM]. Université Rennes 1, 2016. Français. ⟨NNT : 2016REN1S086⟩
Bio-informatique [q-bio.QM]. Université Rennes 1, 2016. Français. ⟨NNT : 2016REN1S086⟩
This thesis studies the interest to look for patterns in genomic sequences using grammars. Since the 80s, work has shown that, in theory, high level grammars offer enough expressivity to allow the description of complex biological patterns. In partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0b100b65913c38a257d2a76951e09921
https://inria.hal.science/tel-01416734v2/document
https://inria.hal.science/tel-01416734v2/document