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Bioinformatics and Biology Insights|August 6, 2016
Computational Identification of Novel Genes: Current and Future PerspectivesSteffen Klasberg, Tristan Bitard-Feildel, Ludovic MalletThe FEBS Journal|May 27, 2018
Origins and structural properties of novel and de novo protein domains during insect evolutionSteffen Klasberg, Tristan Bitard-Feildel, Isabelle Callebaut, et al.Bioinformatics (Oxford, England)|June 23, 2017
PhylOligo: a package to identify contaminant or untargeted organism sequences in genome assembliesLudovic Mallet, Tristan Bitard-Feildel, Franck Cerutti, et al.Peerj. Computer Science|October 7, 2021
Navigating the amino acid sequence space between functional proteins using a deep learning frameworkTristan Bitard-FeildelScientific Reports|January 31, 2017
Exploring the dark foldable proteome by considering hydrophobic amino acids topologyTristan Bitard-Feildel, Isabelle CallebautBMC Bioinformatics|January 29, 2015
MDAT- Aligning multiple domain arrangementsCarsten Kemena, Tristan Bitard-Feildel, Erich Bornberg-BauerProteins|October 28, 2022
A sequence-based foldability score combined with AlphaFold2 predictions to disentangle the protein order/disorder continuumApolline Bruley, Tristan Bitard-Feildel, Isabelle Callebaut, et al.Proteomics|October 10, 2018
Order in Disorder as Observed by the "Hydrophobic Cluster Analysis" of Protein SequencesTristan Bitard-Feildel, Alexis Lamiable, Jean-Paul Mornon, et al.Biochimie|March 5, 2015
Detection of orphan domains in Drosophila using "hydrophobic cluster analysis"Tristan Bitard-Feildel, Magdalena Heberlein, Erich Bornberg-Bauer, et al.Scientific Reports|November 2, 2018
"Infostery" analysis of short molecular dynamics simulations identifies highly sensitive residues and predicts deleterious mutationsYasaman Karami, Tristan Bitard-Feildel, Elodie Laine, et al.Pageof 5