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Juliana S. Bernardes
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Books and Theses
- 2012
- [b1]Juliana S. Bernardes:
Combining evolution and machine learning for functional annotation and classification of remote homologous proteins. (Evolution et apprentissage automatique pour l'annotation fonctionnelle et la classification des homologies lointains en protéines). Pierre and Marie Curie University, Paris, France, 2012
Journal Articles
- 2023
- [j9]Nika Abdollahi, Lucile Jeusset, Anne Langlois De Septenville, Frédéric Davi, Juliana S. Bernardes:
Reconstructing B cell lineage trees with minimum spanning tree and genotype abundances. BMC Bioinform. 24(1): 70 (2023) - 2022
- [j8]Nika Abdollahi, Lucile Jeusset, Anne Langlois De Septenville, Hugues Ripoche, Frédéric Davi, Juliana S. Bernardes:
A multi-objective based clustering for inferring BCR clonal lineages from high-throughput B cell repertoire data. PLoS Comput. Biol. 18(8) (2022) - 2018
- [j7]Nika Abdollahi, Alexandre Albani, Éric 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, Raphaël Guérois, Yann Ponty, Sophie Sacquin-Mora, Alessandra Carbone, Christine Froidevaux, Stéphane Le Crom, Olivier Lespinet, Martin Weigt, Samer Abboud, Juliana S. Bernardes, Guillaume Bouvier, Chloé Dequeker, Arnaud Ferré, Patrick Fuchs, Gaëlle Lelandais, Pierre Poulain, Hugues Richard, Hugo Schweke, Elodie Laine, Anne Lopes:
Meet-U: Educating through research immersion. PLoS Comput. Biol. 14(3) (2018) - 2016
- [j6]Juliana S. Bernardes, Fabio R. J. Vieira, Gerson Zaverucha, Alessandra Carbone:
A multi-objective optimization approach accurately resolves protein domain architectures. Bioinform. 32(3): 345-353 (2016) - [j5]Juliana S. Bernardes, Gerson Zaverucha, Catherine Vaquero, Alessandra Carbone:
Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence. PLoS Comput. Biol. 12(7) (2016) - 2015
- [j4]Juliana S. Bernardes, Fabio R. J. Vieira, Lygia Costa, Gerson Zaverucha:
Evaluation and improvements of clustering algorithms for detecting remote homologous protein families. BMC Bioinform. 16: 34:1-34:14 (2015) - 2011
- [j3]Juliana S. Bernardes, Alessandra Carbone, Gerson Zaverucha:
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models. BMC Bioinform. 12: 83 (2011) - 2008
- [j2]Juliana S. Bernardes, Jorge H. Fernandez, Ana Tereza Ribeiro de Vasconcelos:
Structural descriptor database: a new tool for sequence-based functional site prediction. BMC Bioinform. 9 (2008) - 2007
- [j1]Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha:
Improving model construction of profile HMMs for remote homology detection through structural alignment. BMC Bioinform. 8 (2007)
Conference and Workshop Papers
- 2023
- [c1]Gabriel Dominico, Juliana S. Bernardes, Leonardo L. Dorneles, Márcio Dorn:
Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection. CEC 2023: 1-8
Informal and Other Publications
- 2007
- [i1]Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha:
A study of structural properties on profiles HMMs. CoRR abs/0704.2010 (2007)
Coauthor Index
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