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Updated: Aug 14, 2026

Using the E1A Minigene Tool to Study mRNA Splicing Changes
Published on: April 22, 2021
A computational investigation of kinetoplastid trans-splicing
Shuba Gopal1, Saria Awadalla, Terry Gaasterland
1Laboratory of Computational Genomics, Rockefeller University, 1230 York Avenue, New York, NY 10021, USA. sxgsbi@rit.edu
Abstract:
Trans-splicing is an unusual process in which two separate RNA strands are spliced together to yield a mature mRNA. We present a novel computational approach which has an overall accuracy of 82% and can predict 92% of known trans-splicing sites. We have applied our method to chromosomes 1 and 3 of Leishmania major, with high-confidence predictions for 85% and 88% of annotated genes respectively. We suggest some extensions of our method to other systems.
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