Additional file 1 of Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications

Patricia J. Sullivan (Creator)
Velimir Gayevskiy (Creator)
Ryan L. Davis (Creator)
Marie Wong (Creator)
Chelsea Mayoh (Creator)
Amali Mallawaarachchi (Creator)
Yvonne Hort (Creator)
Mark J. McCabe (Creator)
Sarah Beecroft (Creator)
Matilda Jackson (Creator)
Peer Arts (Creator)
Andrew Dubowsky (Creator)
Nigel Laing (Creator)
Marcel Dinger (Creator)
Hamish Scott (Creator)
Emily C. Oates (Creator)
Mark Pinese (Creator)
Mark Cowley (Creator)

Dataset

1 Article

1 results

2023
Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications
Sullivan, P. J., Gayevskiy, V., Davis, R. L., Wong, M., Mayoh, C., Mallawaarachchi, A., Hort, Y., McCabe, M. J., Beecroft, S., Jackson, M. R., Arts, P., Dubowsky, A., Laing, N., Dinger, M. E., Scott, H. S., Oates, E., Pinese, M. & Cowley, M. J., Dec 2023, In: Genome Biology. 24, 1, 118.
Research output: Contribution to journal › Article › peer-review

Open Access
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