Academic Journal
Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants
| Title: | Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants |
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| Authors: | 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 |
| Source: | BMC Genomics, Vol 21, Iss 1, Pp 1-12 (2020) |
| Publisher Information: | BMC, 2020. |
| Publication Year: | 2020 |
| Collection: | LCC:Biotechnology LCC:Genetics |
| Subject Terms: | Branch point, Prediction, RNA, Benchmark, HSF, SVM-BPfinder, Biotechnology, TP248.13-248.65, Genetics, QH426-470 |
| More Details: | 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 (n = 264,787 3’ss) and from in-house RNAseq experiments (n = 51,986 3’ss). We also gathered an unprecedented collection of functional splicing data for 120 variants (62 unpublished) occurring in BP areas of disease-causing genes. Branchpointer showed the best performance to detect the relevant BPs upstream of constitutive and alternative 3’ss (99.48 and 65.84% accuracies, respectively). For variants occurring in a BP area, BPP emerged as having the best performance to predict effects on mRNA splicing, with an accuracy of 89.17%. 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1471-2164 |
| Relation: | https://doaj.org/toc/1471-2164 |
| DOI: | 10.1186/s12864-020-6484-5 |
| Access URL: | https://doaj.org/article/da6b4502084e4b2a87009788da78c331 |
| Accession Number: | edsdoj.6b4502084e4b2a87009788da78c331 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 14712164 |
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| DOI: | 10.1186/s12864-020-6484-5 |
| Published in: | BMC Genomics |
| Language: | English |