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Journal articles
Exonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools
Omar Soukarieh
1
Pascaline Gaildrat
1
Mohamad Hamieh
1
Aurélie Drouet
1
Stéphanie Baert-Desurmont
1
Thierry Frebourg
1
Mario Tosi
1
Alexandra Martins
1
Stéphanie Baert-Desurmont 1
Author IdHAL : stephanie-baert-desurmont
Thierry Frebourg 1
Author
Mario Tosi 1
Author
Alexandra Martins 1
Author IdHAL : alexandra-martins ORCID : https://orcid.org/0000-0003-4322-8497
1
GMFC - Génétique du cancer et des maladies neuropsychiatriques (22 Boulevard Gambetta 76183 Rouen Cedex - France)
- UNIROUEN - Université de Rouen Normandie (1, rue Thomas Becket 76821 Mont-Saint-Aignan Cedex - France)
- NU - Normandie Université (Esplanade de la Paix - CS 14032 - 14032 Caen Cedex 5 - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : U1079 (101, rue de Tolbiac, 75013 Paris - France)
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Journal articles
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02336248
Contributor : Alexandra Martins <>
Submitted on : Monday, October 28, 2019 - 5:04:53 PM
Last modification on : Tuesday, October 20, 2020 - 10:17:24 AM
Contributor : Alexandra Martins <>
Submitted on : Monday, October 28, 2019 - 5:04:53 PM
Last modification on : Tuesday, October 20, 2020 - 10:17:24 AM
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- HAL Id : hal-02336248, version 1
- DOI : 10.1371/journal.pgen.1005756
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Omar Soukarieh, Pascaline Gaildrat, Mohamad Hamieh, Aurélie Drouet, Stéphanie Baert-Desurmont, et al.. Exonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools. PLoS Genetics, Public Library of Science, 2016, 12 (1), pp.e1005756. ⟨10.1371/journal.pgen.1005756⟩. ⟨hal-02336248⟩
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