Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1556
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dc.contributor.authorChaurasia, Ankit-
dc.contributor.authorMalik, Amit-
dc.contributor.authorGhosh, Tarini Shankar (Advisor)-
dc.date.accessioned2024-05-21T09:55:29Z-
dc.date.available2024-05-21T09:55:29Z-
dc.date.issued2023-11-29-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1556-
dc.description.abstractAdvancement in the field of metagenomic research have highlighted the role of microbiomes can play ecologically and clinically contexts. So, our proposed platform will provide metagenomic researchers with a friendly user interface for efficient exploration of microbial communities based on their functional signatures. The core functionality of the platform will revolve around a comprehensive database repository and web server part. Researchers can seamlessly navigate through both parts to choose a functional profile of interest with species names, or they have abundance matrix to leverage a precomputed nearest neighbors matrix and system generates locality sensitive hashing outputs to get nearest neighbors and enables efficient comparison and clustering of microbial communities.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectLocality Sensitive Hashing (LSH)en_US
dc.subjectFunctional Profilesen_US
dc.subjectMicrobiomesen_US
dc.subjectAbundance matrixen_US
dc.titleMicrobiome diagnostics using functionally similar genome clusteringen_US
dc.typeOtheren_US
Appears in Collections:Year-2023

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