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Quantitative prediction of variant effects on alternative splicing using endogenous pre-messenger RNA structure probing
View ORCID ProfileJayashree Kumar, View ORCID ProfileLela Lackey, View ORCID ProfileJustin M. Waldern, View ORCID ProfileAbhishek Dey, View ORCID ProfileDavid H. Mathews, View ORCID ProfileAlain Laederach
doi: https://doi.org/10.1101/2021.09.13.460117
Jayashree Kumar
aDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
bCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
Lela Lackey
aDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
cDepartment of Genetics and Biochemistry, Center for Human Genetics, Clemson University, Greenwood, SC
Justin M. Waldern
aDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
Abhishek Dey
aDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
David H. Mathews
dDepartment of Biochemistry & Biophysics and Center for RNA Biology, 601 Elmwood Avenue, Box 712, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642
Alain Laederach
aDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
bCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
Posted October 07, 2021.
Quantitative prediction of variant effects on alternative splicing using endogenous pre-messenger RNA structure probing
Jayashree Kumar, Lela Lackey, Justin M. Waldern, Abhishek Dey, David H. Mathews, Alain Laederach
bioRxiv 2021.09.13.460117; doi: https://doi.org/10.1101/2021.09.13.460117
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