NLM IRP Seminar Schedule
UPCOMING SEMINARS
-
May 14, 2024 Stanley Liang
Knowledge-driven Latent Diffusion For COVID-19 Pneumonia Radiology Pattern Synthesis -
May 21, 2024 Ziynet Kesimoglu
TBD -
May 23, 2024 Leslie Ronish
TBD -
May 28, 2024 Harutyun Saakyan
TBD -
May 30, 2024 Deepak Gupta
TBD
RECENT SEMINARS
-
May 9, 2024 Pascal Mutz
The Riboviria protein structurome expands virus protein annotation and highlights protein relations -
May 2, 2024 OPEN
TBD -
April 30, 2024 Wenya Rowe
The conformal central charge of the spin-1/2 XX model derived from long-chain asymptotics -
April 25, 2024 Ermin Hodzic
Condition-Aware Cell Type Deconvolution of Bulk Tissues -
April 16, 2024 Jaya Srivastava
Regulatory plasticity of the human genome
Scheduled Seminars on Feb. 2, 2023
Contact NLM_IRP_Seminar_Scheduling@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.