Microexon code model and resources accompanying "A microexon regulatory code reveals autism-linked genetic variation"
Year: 2026
Type: software
Abstract: Code, trained-model resources, analysis workflows and precomputed variant predictions supporting the study “A microexon regulatory code reveals autism-linked genetic variation.” The repository contains the computational analyses used to characterize neuronal microexons, develop a sequence-based microexon code model and evaluate the predicted effects of genetic variants on microexon splicing.
Authors: Parada, Guillermo E., Bretschneider, Hannes, Li, Jack Daiyang, Fine, Jacob L., Dupas, Steven J., Ellis, Jonathan D., Braunschweig, Ulrich, Bonnal, Sophie, Dalal, Taykhoom, Engchuan, Worrawat, Zarrei, Mehdi, Wei, Wei, Zafar, Nadia, Hemberg, Martin, Attisano, Liliana, Ellis, James, Irimia, Manuel, Wainberg, Michael, Trost, Brett, Scherer, Stephen W., Morris, Quaid D., Blencowe, Benjamin J.
Institutions: King's College London, University of Toronto, The Francis Crick Institute, Vector Institute, Donnelly Centre for Cellular and Biomolecular Research, Barcelona Institute of Science and Technology, Centre for Genomic Regulation, Memorial Sloan Kettering Cancer Center, Cornell University, Weill Cornell Medicine, Hospital for Sick Children, Centre for Applied Genomics, Brigham and Women's Hospital, Harvard University, Massachusetts General Hospital, Institució Catalana de Recerca i Estudis Avançats, Universitat Pompeu Fabra, Lunenfeld-Tanenbaum Research Institute, Sinai Health System
Language: English
Topic: RNA Research and Splicing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Award: G9000370407
OpenAlex ID: W7214029692