• 
  Raffaele Raucci, Elodie Laine, Alessandra Carbone. Local Interaction Signal Analysis Predicts Protein-Protein Binding Affinity. Structure, Elsevier (Cell Press), 2018, 26 (6), pp.905 - 915.e4. ⟨10.1016/j.str.2018.04.006⟩. ⟨hal-01844368⟩
• 
  Nika Abdollahi, Alexandre Albani, Eric Anthony, Agnes Baud, Mélissa Cardon, et al.. Meet-U: educating through research immersion. PLoS Computational Biology, Public Library of Science, 2018, 14 (3), pp.1-10. ⟨10.1371/journal.pcbi.1005992⟩. ⟨hal-01722019⟩
• 
  Anish Shrestha, Martin C. Frith, Kiyoshi Asai, Hugues Richard. Jointly aligning a group of DNA reads improves accuracy of identifying large deletions. Nucleic Acids Research, Oxford University Press, 2018, 46 (3), pp.e18. ⟨10.1093/nar/gkx1175⟩. ⟨hal-01727521⟩
• 
  Chloé Dequeker, Elodie Laine, Alessandra Carbone. INTerface Builder: a fast protein-protein interface reconstruction tool. Journal of Chemical Information and Modeling, American Chemical Society, 2017, ⟨10.1021/acs.jcim.7b00360⟩. ⟨hal-01617113⟩
• 
  Chadi Saad, Laurent Noé, Hugues Richard, Julie Leclerc, Marie-Pierre Buisine, et al.. DiNAMO: Exact method for degenerate IUPAC motifs discovery, characterization of sequence-specific errors. JOBIM 2017 - Journées Ouvertes en Biologie, Informatique et Mathématiques, Jul 2017, Lille, France. ⟨hal-01574630⟩
• 
  Juliana Bernardes, Catherine Vaquero, Alessandra Carbone. Plasmobase: a comparative database of predicted domain architectures for Plasmodium genomes. Malaria Journal, BioMed Central, 2017, 16, pp.241. ⟨10.1186/s12936-017-1887-8⟩. ⟨hal-01556734⟩
• 
  Francesco Oteri, Francesca Nadalin, Raphaël Champeimont, Alessandra Carbone. BIS2Analyzer: a server for co-evolution analysis of conserved protein families. Nucleic Acids Research, Oxford University Press, 2017, pp.W307-W314. ⟨10.1093/nar/gkx336⟩. ⟨hal-01520493⟩
• 
  Ari Ugarte. Combining machine learning and evolution for the annotation of metagenomics data. Biotechnology. Université Pierre et Marie Curie - Paris VI, 2016. English. ⟨NNT : 2016PA066732⟩. ⟨tel-01666046⟩
• 
  Juliana 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 Computational Biology, Public Library of Science, 2016, 12 (7), pp.e1005038. ⟨10.1371/journal.pcbi.1005038⟩. ⟨hal-01390566⟩
• 
  Lydie Vamparys, Benoist Laurent, Alessandra Carbone, Sophie Sacquin-Mora. Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins - Structure, Function and Bioinformatics, Wiley, 2016, 84 (10), pp.1408-1421 ⟨10.1002/prot.25086⟩. ⟨hal-01347160⟩

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