NLM DIR Seminar Schedule
UPCOMING SEMINARS
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Sept. 9, 2025 Chih-Hsuan Wei
No Data Left Behind: Enhancing FAIR Access to Supplementary Materials for Research Transparency -
Sept. 18, 2025 James Leaman JR.
TBD -
Sept. 23, 2025 Martha Nelson
TBD -
Sept. 30, 2025 Erez Persi
TBD -
Oct. 7, 2025 Liana Yeganova
TBD
RECENT SEMINARS
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July 15, 2025 Noam Rotenberg
Cell phenotypes in the biomedical literature: a systematic analysis and the NLM CellLink text mining corpus -
July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 1, 2025 Yoshitaka Inoue
Graph-Aware Interpretable Drug Response Prediction and LLM-Driven Multi-Agent Drug-Target Interaction Prediction -
June 10, 2025 Aleksandra Foerster
Interactions at pre-bonding distances and bond formation for open p-shell atoms: a step toward biomolecular interaction modeling using electrostatics -
June 3, 2025 MG Hirsch
Interactions among subclones and immunity controls melanoma progression
Scheduled Seminars on June 2, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
The rapidly expanding catalog of microbial genomes and metagenomes has provided a wealth of information about what microbes are present in different environments and what functions are encoded in their genomes. Further analyses of these data can provide insights into the physiology of the organisms, their ecological significance, and potential clinical relevance. To facilitate the analysis of microbial genomes, we have developed a flexible and extensible annotation and search tool, ProkFunFind, that can be used to search for genes and gene clusters within collections of microbial genomes. ProkFunFind was designed to be flexible, incorporating multiple annotation tools, including eggNOG-mapper, KofamScan, and InterProScan, allowing users to perform searches based on sequence similarity, HMM profiles, or using established orthology definitions like NCBI’s COGs. Furthermore, we have designed our tool to be extensible, allowing for the future integration of additional annotation and search approaches. ProkFunFind has been successfully applied in multiple projects from our research group involving the characterization of metabolic pathways in the human gut microbiome, providing insights into their distribution and relevance to human health. One of these projects has been focused on characterizing the equol production gene cluster across available microbial genomes. The insights gained from our analysis of this gene cluster demonstrate the utility of this search approach and have expanded our knowledge of this biomedically important metabolic pathway. Our goal is to further refine and develop ProkFunFind, providing the microbial research community with an easy-to-use and flexible platform for the annotation of new functions.