NLM DIR Seminar Schedule
UPCOMING SEMINARS
-
Jan. 20, 2026 Anastasia Gulyaeva
TBD -
Jan. 22, 2026 Mario Flores
AI Pipeline for Characterization of the Tumor Microenvironment -
Jan. 27, 2026 Zhaohui Liang
TBD -
Jan. 29, 2026 Mehdi Bagheri Hamaneh
FastSpel: A simple peptide spectrum predictor that achieves deep learning-level performance at a fraction of the computational cost -
Feb. 3, 2026 Matthew Diller
TBD
RECENT SEMINARS
-
Jan. 8, 2026 Won Gyu Kim
LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery -
Dec. 16, 2025 Sarvesh Soni
ArchEHR-QA: A Dataset and Shared Task for Grounded Question Answering from Electronic Health Records -
Dec. 2, 2025 Qingqing Zhu
CT-Bench & CARE-CT: Building Reliable Multimodal AI for Lesion Analysis in Computed Tomography -
Nov. 25, 2025 Jing Wang
MIMIC-EXT-TE: Millions Clinical Temporal Event Time-Series Dataset -
Oct. 21, 2025 Yifan Yang
TBD
Scheduled Seminars on Dec. 8, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Using a custom computational pipeline, we searched 5,131 global metatranscriptomes for viroid-like circular RNAs. By combining direct sequence searches against ViroidDB, a comprehensive collection of viroids and viroid-like sequences, with structure-based searches for self-cleaving ribozymes, we were able to identify 4,860 novel viroid-like sequence clusters containing a range of ribozymes. Clustering these sequences reveals a fivefold increase in diversity relative to known viroid-like agents. The novel sequences span the viroid-like space from putative viroids to ribozyviruses and retrozymes. Additionally, we identify the ribozy-like nature of certain riboviruses infecting fungi and provide evidence for CRISPR targeting of viroid-like RNAs.