NLM DIR Seminar Schedule
UPCOMING SEMINARS
RECENT SEMINARS
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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 -
Oct. 14, 2025 Devlina Chakravarty
TBD -
Oct. 9, 2025 Ziynet Nesibe Kesimoglu
TBD
Scheduled Seminars on Feb. 2, 2023
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Microorganism Classification and Identification (MiCId) is a workflow that uses high resolution tandem mass spectrometry data to rapid and accurate identifications/classifications of microbes in complex samples. MiCId identifies microorganisms by using reliably identified peptides as supporting evidence. The rapid identification/classification of microorganisms in the pipeline is built upon a peptide-centric database that allows for the fast retrieval of peptides and taxonomical information. The identification strategy employs a hierarchical approach starting with phylum level and then descending one level at a time.
To make data analysis accessible to a broader range of users, a graphical user interface (GUI) for MiCId’s workflow has been developed. The GUI allows user to simplify the user’s routine tasks: constructing peptide-centric microorganismal databases, constructing antibiotic resistance protein databases, performing microorganism identification along with the identification of proteins and antibiotic resistance proteins, and estimating sample’s microorganismal-biomass composition. The graphical user interface enables fast and automated data analysis and offers tools to visualize and export results.