NLM DIR Seminar Schedule
UPCOMING SEMINARS
RECENT SEMINARS
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June 30, 2026 Jaya Srivastava
Disrupted Regulation of Essential Genes Mediates Dementias and Age-Associated Disorders -
June 11, 2026 Angela Jiang
Identification and Evolutionary Analysis of Steroid-Metabolism Enzymes in Gut Microbes -
June 10, 2026 Luda Diatchenko
New Insights on Pain Biology from Human Transcriptomics: How Stimulation of Immune Response Shapes Pain Resolution -
June 9, 2026 Pascal Mutz
Characterization of covalently closed circular RNA replicators detected in (meta)transcriptomic data -
June 4, 2026 Madeleine Clore
Explaining why AlphaFold struggles to predict mutational effects
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.