SpliceAI-visual: a free online tool to improve SpliceAI splicing variant interpretation
Sorbonne Université · Assistance Publique – Hôpitaux de Paris · +24 more institutions
Abstract
SpliceAI is an open-source deep learning splicing prediction algorithm that has demonstrated in the past few years its high ability to predict splicing defects caused by DNA variations. However, its outputs present several drawbacks: (1) although the numerical values are very convenient for batch filtering, their precise interpretation can be difficult, (2) the outputs are delta scores which can sometimes mask a severe consequence, and (3) complex delins are most often not handled. We present here SpliceAI-visual, a free online tool based on the SpliceAI algorithm, and show how it complements the traditional SpliceAI analysis. First, SpliceAI-visual manipulates raw scores and not delta scores, as the latter…
Citation impact
- FWCI
- 27.09
- Percentile
- 100%
- References
- 40
Authors
22- JDJean‐Madeleine de Sainte AgatheCorresponding
Sorbonne Université, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Fondation pour la Recherche Médicale
- MFMathilde Filser
Sorbonne Université, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital
- BIBertrand Isidor
Centre Hospitalier Universitaire de Nantes, Nantes Université
- TBThomas Besnard
Centre Hospitalier Universitaire de Nantes, Nantes Université
- PGPaul Guéguen
Inserm, Centre Hospitalier Universitaire de Tours, Clinical Investigation Center Plurithematic Tours
Topics & keywords
- RNA splicing
- Interpretation (philosophy)
- Computer science
- Relevance (law)
- Artificial intelligence
- Information retrieval
- Biology
- Genetics