NIH VideoCast - Glyco-Informatics at the Interface of Disease and Data (Day 2)

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Glyco-Informatics at the Interface of Disease and Data (Day 2)

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Air date:	Wednesday, April 27, 2022, 10:00:00 AM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 309 (259 Live, 50 On-demand)
Category:	Conferences
Runtime:	05:07:25
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	Ongoing technical advances are accelerating the pace and sophistication of data acquisition, and its integration with biological knowledge (genetics, proteomics, pathology, glycobiology). This symposium seeks to highlight the importance of publicly sharing scientific results and their integration with glycan and glycoconjugate data. Evaluating glycobiological data in the context of genetic mutations, gene expression, and protein function provides new opportunities for systems-level understanding of the role(s) glycosylation plays in normal and disease processes. Scientists who use NCBI, EMBL-EBI, UniProt, PDB, CAZy, Gene Ontology and other such sources but do not specialize in glycobiology are especially encouraged to take part in this symposium. For more information go to https://mregs.nih.gov/nigms/a5lb-d131

NLM Title:	Glyco-informatics at the interface of disease and data / NIH Common Fund Glycoscience Program.
Author:	Glyco-Informatics at the Interface of Disease and Data (Symposium) Common Fund Glycoscience Program, National Institutes of Health (U.S.),
Publisher:
Abstract:	(CIT): Ongoing technical advances are accelerating the pace and sophistication of data acquisition, and its integration with biological knowledge (genetics, proteomics, pathology, glycobiology). This symposium seeks to highlight the importance of publicly sharing scientific results and their integration with glycan and glycoconjugate data. Evaluating glycobiological data in the context of genetic mutations, gene expression, and protein function provides new opportunities for systems-level understanding of the role(s) glycosylation plays in normal and disease processes. Scientists who use NCBI, EMBL-EBI, UniProt, PDB, CAZy, Gene Ontology and other such sources but do not specialize in glycobiology are especially encouraged to take part in this symposium.
Subjects:	Computational Biology--methods Data Collection Glycoconjugates--physiology Information Dissemination Polysaccharides--physiology
Publication Types:	Congress Webcast

NLM Classification:	QU 83
NLM ID:	9918418884106676
CIT Live ID:	45187
Permanent link:	https://videocast.nih.gov/watch=45187

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