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- Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants
Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants
Auteurs
Raphaël Leman, Hélène Tubeuf, Sabine Raad, Isabelle Tournier, Céline Derambure, Raphaël Lanos, Pascaline Gaildrat, Gaia Castelain, Julie Hauchard, Audrey Killian, Stéphanie Baert-Desurmont, Angelina Legros, Nicolas Goardon, Céline Quesnelle, Agathe Ricou, Laurent Castera, Dominique Vaur, Gérald Le Gac, Chandran Ka, Yann Fichou, Françoise Bonnet-Dorion, Nicolas Sevenet, Marine Guillaud-Bataille, Nadia Boutry-Kryza, Inès Schultz, Virginie Caux-Moncoutier, Maria Rossing, Logan C. Walker, Amanda B. Spurdle, Claude Houdayer, Alexandra Martins, Sophie Krieger
Résumé
Abstract
Background
Branch points (BPs) map within short motifs upstream of acceptor splice sites (3’ss) and are essential for splicing of pre-mature mRNA. Several BP-dedicated bioinformatics tools, including HSF, SVM-BPfinder, BPP, Branchpointer, LaBranchoR and RNABPS were developed during the last decade. Here, we evaluated their capability to detect the position of BPs, and also to predict the impact on splicing of variants occurring upstream of 3’ss.
Results
We used a large set of constitutive and alternative human 3’ss collected from Ensembl (
Conclusions
Our investigations revealed that Branchpointer was optimal to detect BPs upstream of 3’ss, and that BPP was most relevant to predict splicing alteration due to variants in the BP area.