Ontology highlight
ABSTRACT:
SUBMITTER: Sethi S
PROVIDER: S-EPMC9046390 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
Sethi Siddharth S Zhang David D Guelfi Sebastian S Chen Zhongbo Z Garcia-Ruiz Sonia S Olagbaju Emmanuel O EO Ryten Mina M Saini Harpreet H Botia Juan A JA
Nature communications 20220427 1
There is growing evidence for the importance of 3' untranslated region (3'UTR) dependent regulatory processes. However, our current human 3'UTR catalogue is incomplete. Here, we develop a machine learning-based framework, leveraging both genomic and tissue-specific transcriptomic features to predict previously unannotated 3'UTRs. We identify unannotated 3'UTRs associated with 1,563 genes across 39 human tissues, with the greatest abundance found in the brain. These unannotated 3'UTRs are signifi ...[more]