Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Samia Djerroud"'
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 8, p 4448 (2022)
Small RNAs (sRNAs) are essential regulators in the adaptation of bacteria to environmental changes and act by binding targeted mRNAs through base complementarity. Approximately 550 distinct families of sRNAs have been identified since their initial c
Externí odkaz:
https://doaj.org/article/1dd4a619eaf140cd839a9d1e26789ea0
Autor:
Nika Abdollahi, Alexandre Albani, Eric Anthony, Agnes Baud, Mélissa Cardon, Robert Clerc, Dariusz Czernecki, Romain Conte, Laurent David, Agathe Delaune, Samia Djerroud, Pauline Fourgoux, Nadège Guiglielmoni, Jeanne Laurentie, Nathalie Lehmann, Camille Lochard, Rémi Montagne, Vasiliki Myrodia, Vaitea Opuu, Elise Parey, Lélia Polit, Sylvain Privé, Chloé Quignot, Maria Ruiz-Cuevas, Mariam Sissoko, Nicolas Sompairac, Audrey Vallerix, Violaine Verrecchia, Marc Delarue, Raphael Guérois, Yann Ponty, Sophie Sacquin-Mora, Alessandra Carbone, Christine Froidevaux, Stéphane Le Crom, Olivier Lespinet, Martin Weigt, Samer Abboud, Juliana Bernardes, Guillaume Bouvier, Chloé Dequeker, Arnaud Ferré, Patrick Fuchs, Gaëlle Lelandais, Pierre Poulain, Hugues Richard, Hugo Schweke, Elodie Laine, Anne Lopes
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 3, p e1005992 (2018)
We present a new educational initiative called Meet-U that aims to train students for collaborative work in computational biology and to bridge the gap between education and research. Meet-U mimics the setup of collaborative research projects and tak
Externí odkaz:
https://doaj.org/article/e780d76873364d1588f1c361ea6d3e72
Autor:
Emilie Boutet, Samia Djerroud, Katia Smail, Marie-Josée Lorain, Meiqun Wu, Martin Lamarche, Roqaya Imane, Carlos Miguez, Jonathan Perreault
Methylorubrum extorquens metabolizes methanol, a cheap raw material that can be derived from waste. It is a facultative methylotroph, making it a model organism to study the metabolism of one carbon compounds. Despite a considerable interest to explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38bda1fb583fb51a6d8422023d48a52
https://doi.org/10.1101/2022.01.24.477521
https://doi.org/10.1101/2022.01.24.477521
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2167
Pseudoknots are important motifs for stabilizing the structure of functional RNAs. As an example, pseudoknotted hammerhead ribozymes are highly active compared to minimal ribozymes. The design of new RNA sequences that retain the function of a model
Publikováno v:
Methods in Molecular Biology ISBN: 9781071607152
Pseudoknots are important motifs for stabilizing the structure of functional RNAs. As an example, pseudoknotted hammerhead ribozymes are highly active compared to minimal ribozymes. The design of new RNA sequences that retain the function of a model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f44c367d9a70f1b8567feb17613c42
https://doi.org/10.1007/978-1-0716-0716-9_7
https://doi.org/10.1007/978-1-0716-0716-9_7
Autor:
Anne Lopes, Laurent David, Sophie Sacquin-Mora, Alexandre Albani, Marc Delarue, Vasiliki Myrodia, Eric Anthony, Mélissa Cardon, Hugo Schweke, Nicolas Sompairac, Stéphane Le Crom, Christine Froidevaux, Patrick F.J. Fuchs, Pierre Poulain, Violaine Verrecchia, Jeanne Laurentie, Nadège Guiglielmoni, Raphael Guerois, Martin Weigt, Maria Ruiz-Cuevas, Juliana S Bernardes, Samer Abboud, Rémi Montagne, Nathalie Lehmann, Vaitea Opuu, Chloé Quignot, Agnes Baud, Camille Lochard, Chloé Dequeker, Samia Djerroud, Romain Conte, Elodie Laine, Dariusz Czernecki, Olivier Lespinet, Mariam Sissoko, Agathe Delaune, Guillaume Bouvier, Arnaud Ferré, Audrey Vallerix, Robert Clerc, Hugues Richard, Alessandra Carbone, Elise Parey, Sylvain Privé, Pauline Fourgoux, Nika Abdollahi, Yann Ponty, Lélia Polit, Gaëlle Lelandais
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2018, 14 (3), pp.1-10. ⟨10.1371/journal.pcbi.1005992⟩
PLoS Computational Biology, 2018, 14 (3), pp.e1005992. ⟨10.1371/journal.pcbi.1005992⟩
PLoS Computational Biology, 2018, 14 (3), pp.1-10. ⟨10.1371/journal.pcbi.1005992⟩
PLoS Computational Biology, Public Library of Science, 2018, pp.1-10. 〈10.1371/journal.pcbi.1005992〉
Plos Computational Biology 3 (14), 1-10. (2018)
PLoS Computational Biology, Vol 14, Iss 3, p e1005992 (2018)
PLoS Computational Biology, Public Library of Science, 2018, 14 (3), pp.1-10. ⟨10.1371/journal.pcbi.1005992⟩
PLoS Computational Biology, 2018, 14 (3), pp.e1005992. ⟨10.1371/journal.pcbi.1005992⟩
PLoS Computational Biology, 2018, 14 (3), pp.1-10. ⟨10.1371/journal.pcbi.1005992⟩
PLoS Computational Biology, Public Library of Science, 2018, pp.1-10. 〈10.1371/journal.pcbi.1005992〉
Plos Computational Biology 3 (14), 1-10. (2018)
PLoS Computational Biology, Vol 14, Iss 3, p e1005992 (2018)
This is a PLOS Computational Biology Education paper.; International audience; We present a new educational initiative, called Meet-U, that aims at training students to collaborativework in computational biology and at bridging the gap between educat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f467a14d11c3e741a5d2eeed3fac59
https://hal.inria.fr/hal-01722019/document
https://hal.inria.fr/hal-01722019/document