METHODS AND SYSTEMS FOR LABEL-FREE DE NOVO SEQUENCING
The present disclosure provides methods and systems for label-free de novo sequencing of an analyte via vibrational spectral signatures. The system may include a sequence identification service, such as a machine learning model trained to receive vibrational spectral signature inputs and to output i...
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creator | DIONNE, Jennifer HU, Jack MEHTA, Radhika SERINO, Andrew VU, Nhat ANGELL, Daniel |
description | The present disclosure provides methods and systems for label-free de novo sequencing of an analyte via vibrational spectral signatures. The system may include a sequence identification service, such as a machine learning model trained to receive vibrational spectral signature inputs and to output identifying sequence information. The system may comprise a chip, comprising an array of non-uniform features (e.g., resonators or a nanogap) for concentrating incident light at the analyte for detection of vibrational spectral signatures.
La présente divulgation propose des procédés et des systèmes de séquençage de novo sans étiquette d'un analyte par l'intermédiaire de signatures spectrales vibratoires. Le système peut comprendre un service d'identification de séquence, tel qu'un modèle d'apprentissage automatique entraîné pour recevoir des entrées de signatures spectrales vibratoires et pour délivrer en sortie des informations de séquence d'identification. Le système peut comprendre une puce, comprenant un réseau de caractéristiques non uniformes (par exemple, des résonateurs ou un nanoespace) pour concentrer la lumière incidente au niveau de l'analyte pour la détection de signatures spectrales vibratoires. |
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La présente divulgation propose des procédés et des systèmes de séquençage de novo sans étiquette d'un analyte par l'intermédiaire de signatures spectrales vibratoires. Le système peut comprendre un service d'identification de séquence, tel qu'un modèle d'apprentissage automatique entraîné pour recevoir des entrées de signatures spectrales vibratoires et pour délivrer en sortie des informations de séquence d'identification. Le système peut comprendre une puce, comprenant un réseau de caractéristiques non uniformes (par exemple, des résonateurs ou un nanoespace) pour concentrer la lumière incidente au niveau de l'analyte pour la détection de signatures spectrales vibratoires.</description><language>eng ; fre</language><subject>BEER ; BIOCHEMISTRY ; CHEMISTRY ; COMPOSITIONS OR TEST PAPERS THEREFOR ; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ; ENZYMOLOGY ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS ; METALLURGY ; MICROBIOLOGY ; MUTATION OR GENETIC ENGINEERING ; PHYSICS ; PROCESSES OF PREPARING SUCH COMPOSITIONS ; SPIRITS ; VINEGAR ; WINE</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241010&DB=EPODOC&CC=WO&NR=2024211321A2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241010&DB=EPODOC&CC=WO&NR=2024211321A2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>DIONNE, Jennifer</creatorcontrib><creatorcontrib>HU, Jack</creatorcontrib><creatorcontrib>MEHTA, Radhika</creatorcontrib><creatorcontrib>SERINO, Andrew</creatorcontrib><creatorcontrib>VU, Nhat</creatorcontrib><creatorcontrib>ANGELL, Daniel</creatorcontrib><title>METHODS AND SYSTEMS FOR LABEL-FREE DE NOVO SEQUENCING</title><description>The present disclosure provides methods and systems for label-free de novo sequencing of an analyte via vibrational spectral signatures. The system may include a sequence identification service, such as a machine learning model trained to receive vibrational spectral signature inputs and to output identifying sequence information. The system may comprise a chip, comprising an array of non-uniform features (e.g., resonators or a nanogap) for concentrating incident light at the analyte for detection of vibrational spectral signatures.
La présente divulgation propose des procédés et des systèmes de séquençage de novo sans étiquette d'un analyte par l'intermédiaire de signatures spectrales vibratoires. Le système peut comprendre un service d'identification de séquence, tel qu'un modèle d'apprentissage automatique entraîné pour recevoir des entrées de signatures spectrales vibratoires et pour délivrer en sortie des informations de séquence d'identification. Le système peut comprendre une puce, comprenant un réseau de caractéristiques non uniformes (par exemple, des résonateurs ou un nanoespace) pour concentrer la lumière incidente au niveau de l'analyte pour la détection de signatures spectrales vibratoires.</description><subject>BEER</subject><subject>BIOCHEMISTRY</subject><subject>CHEMISTRY</subject><subject>COMPOSITIONS OR TEST PAPERS THEREFOR</subject><subject>CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES</subject><subject>ENZYMOLOGY</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS</subject><subject>METALLURGY</subject><subject>MICROBIOLOGY</subject><subject>MUTATION OR GENETIC ENGINEERING</subject><subject>PHYSICS</subject><subject>PROCESSES OF PREPARING SUCH COMPOSITIONS</subject><subject>SPIRITS</subject><subject>VINEGAR</subject><subject>WINE</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDD1dQ3x8HcJVnD0c1EIjgwOcfUNVnDzD1LwcXRy9dF1C3J1VXBxVfDzD_NXCHYNDHX1c_b0c-dhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfHh_kYGRiZGhobGRoaORsbEqQIAcV0oRA</recordid><startdate>20241010</startdate><enddate>20241010</enddate><creator>DIONNE, Jennifer</creator><creator>HU, Jack</creator><creator>MEHTA, Radhika</creator><creator>SERINO, Andrew</creator><creator>VU, Nhat</creator><creator>ANGELL, Daniel</creator><scope>EVB</scope></search><sort><creationdate>20241010</creationdate><title>METHODS AND SYSTEMS FOR LABEL-FREE DE NOVO SEQUENCING</title><author>DIONNE, Jennifer ; HU, Jack ; MEHTA, Radhika ; SERINO, Andrew ; VU, Nhat ; ANGELL, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2024211321A23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2024</creationdate><topic>BEER</topic><topic>BIOCHEMISTRY</topic><topic>CHEMISTRY</topic><topic>COMPOSITIONS OR TEST PAPERS THEREFOR</topic><topic>CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES</topic><topic>ENZYMOLOGY</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS</topic><topic>METALLURGY</topic><topic>MICROBIOLOGY</topic><topic>MUTATION OR GENETIC ENGINEERING</topic><topic>PHYSICS</topic><topic>PROCESSES OF PREPARING SUCH COMPOSITIONS</topic><topic>SPIRITS</topic><topic>VINEGAR</topic><topic>WINE</topic><toplevel>online_resources</toplevel><creatorcontrib>DIONNE, Jennifer</creatorcontrib><creatorcontrib>HU, Jack</creatorcontrib><creatorcontrib>MEHTA, Radhika</creatorcontrib><creatorcontrib>SERINO, Andrew</creatorcontrib><creatorcontrib>VU, Nhat</creatorcontrib><creatorcontrib>ANGELL, Daniel</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>DIONNE, Jennifer</au><au>HU, Jack</au><au>MEHTA, Radhika</au><au>SERINO, Andrew</au><au>VU, Nhat</au><au>ANGELL, Daniel</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHODS AND SYSTEMS FOR LABEL-FREE DE NOVO SEQUENCING</title><date>2024-10-10</date><risdate>2024</risdate><abstract>The present disclosure provides methods and systems for label-free de novo sequencing of an analyte via vibrational spectral signatures. The system may include a sequence identification service, such as a machine learning model trained to receive vibrational spectral signature inputs and to output identifying sequence information. The system may comprise a chip, comprising an array of non-uniform features (e.g., resonators or a nanogap) for concentrating incident light at the analyte for detection of vibrational spectral signatures.
La présente divulgation propose des procédés et des systèmes de séquençage de novo sans étiquette d'un analyte par l'intermédiaire de signatures spectrales vibratoires. Le système peut comprendre un service d'identification de séquence, tel qu'un modèle d'apprentissage automatique entraîné pour recevoir des entrées de signatures spectrales vibratoires et pour délivrer en sortie des informations de séquence d'identification. Le système peut comprendre une puce, comprenant un réseau de caractéristiques non uniformes (par exemple, des résonateurs ou un nanoespace) pour concentrer la lumière incidente au niveau de l'analyte pour la détection de signatures spectrales vibratoires.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | BEER BIOCHEMISTRY CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ENZYMOLOGY INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS METALLURGY MICROBIOLOGY MUTATION OR GENETIC ENGINEERING PHYSICS PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS VINEGAR WINE |
title | METHODS AND SYSTEMS FOR LABEL-FREE DE NOVO SEQUENCING |
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