NLM DIR Seminar Schedule
UPCOMING SEMINARS
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May 2, 2025 Pascal Mutz
Characterization of covalently closed cirular RNAs detected in (meta)transcriptomic data -
May 2, 2025 Dr. Lang Wu
Integration of multi-omics data in epidemiologic research -
May 6, 2025 Leslie Ronish
TBD -
May 8, 2025 MG Hirsch
TBD -
May 13, 2025 Harutyun Saakyan
TBD
RECENT SEMINARS
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April 22, 2025 Stanley Liang, PhD
Large Vision Model for medical knowledge adaptation -
April 18, 2025 Valentina Boeva, Department of Computer Science, ETH Zurich
Decoding tumor heterogeneity: computational methods for scRNA-seq and spatial omics -
April 8, 2025 Jaya Srivastava
Leveraging a deep learning model to assess the impact of regulatory variants on traits and diseases -
April 1, 2025 Roman Kogay
Horizontal transfer of bacterial operons into eukaryote genomes -
March 25, 2025 Yifan Yang
Adversarial Manipulation and Data Memorization in Large Language Models for Medicine
Scheduled Seminars on Nov. 19, 2024
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
This study explores covalently closed circular RNAs (cccRNAs) that lack out-of-frame stop codons, a feature that may enable reiterative translation. While reiterative translation has been demonstrated for one satellite RNA, our analysis reveals that overlapping circular ORFs lacking hidden stop codons are more frequent than expected by chance, especially as ORF length increases. Using viroid-like circular RNA datasets, we identify mitovirus RNA-dependent RNA polymerase (RdRP) sequences that preserve this stop-free property. Statistical analysis indicates that amino acid and codon usage biases contribute to maintaining this feature. These findings suggest that reiterative translation, alongside reiterative transcription, may be a strategy employed by mitovirus-like cccRNAs.