NLM DIR Seminar Schedule
UPCOMING SEMINARS
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April 8, 2025 Jaya Srivastava
Leveraging a deep learning model to assess the impact of regulatory variants on traits and diseases -
April 15, 2025 Pascal Mutz
TBD -
April 18, 2025 Valentina Boeva, Department of Computer Science, ETH Zurich
Decoding tumor heterogeneity: computational methods for scRNA-seq and spatial omics -
April 22, 2025 Stanley Liang
TBD -
April 29, 2025 MG Hirsch
TBD
RECENT SEMINARS
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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 -
March 11, 2025 Sofya Garushyants
Tmn – bacterial anti-phage defense system -
March 4, 2025 Sanasar Babajanyan
Evolution of antivirus defense in prokaryotes depending on the environmental virus load -
Feb. 25, 2025 Zhizheng Wang
GeneAgent: Self-verification Language Agent for Gene Set Analysis using Domain Databases
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.