open source mongodb database component Search Results


open source mongodb database component  (MongoDB Inc)
90
MongoDB Inc open source mongodb database component
Open Source Mongodb Database Component, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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open source mongodb database component - by Bioz Stars, 2026-08
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stk-vis  (MongoDB Inc)
90
MongoDB Inc stk-vis
Stk Vis, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/pm34240979-136-11-19?v=MongoDB+Inc
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stk-vis - by Bioz Stars, 2026-08
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open-source, non-relational document database  (MongoDB Inc)
90
MongoDB Inc open-source, non-relational document database
Open Source, Non Relational Document Database, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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open-source, non-relational document database - by Bioz Stars, 2026-08
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open-source database system  (MongoDB Inc)
90
MongoDB Inc open-source database system
Open Source Database System, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/pmc07332157-149-5-5?v=MongoDB+Inc
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open-source database system - by Bioz Stars, 2026-08
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open-source document database  (MongoDB Inc)
90
MongoDB Inc open-source document database
Open Source Document Database, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/10__1109_slash_tcss__2017__2763684-127-7-11?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
open-source document database - by Bioz Stars, 2026-08
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mern stack javascript application  (MongoDB Inc)
90
MongoDB Inc mern stack javascript application
TyphiNET data curation and dashboard architecture. A The Global Typhoid Genomics Consortium (GTGC) aggregates and curates Typhi genome data and metadata, using Pathogenwatch as both an analysis platform (calling genotypes and AMR determinants from genome assemblies) and publicly accessible data store. Metadata that are not typically available in NCBI/ENA but are collected and curated by the GTGC include purpose of sampling (to tag datasets that are suitable for estimating AMR/genotype prevalence) and information on country-of-travel for travel-associated isolates (to identify country of origin). B A web-scraper is used to pull the latest versions of genotypes, AMR determinants, and metadata files from GTGC-curated Typhi collections in Pathogenwatch, which are used to populate the TyphiNET database. C The TyphiNET dashboard is implemented as a <t>MERN</t> (MongoDB, Express, React, Node) stack JavaScript application as illustrated. Genome data are filtered to exclude low-quality genome sequences, and data sets whose sampling frames make them unsuitable for AMR surveillance (such as those targeted towards sequencing of resistant strains only, or outbreak investigations), before calculating national/annual prevalences of AMR and genotypes to display in interactive plots. ReactJS is used to provide user interface layouts suitable for viewing the interactive plots on a range of devices (computer, tablet, phone). Users can also download static images of current plot displays (PNG), static reports with all current plots (PDF format), or a copy of the TyphiNET database (CSV format)
Mern Stack Javascript Application, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/pmc12063449-69-5-7?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
mern stack javascript application - by Bioz Stars, 2026-08
90/100 stars
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open source product  (MongoDB Inc)
90
MongoDB Inc open source product
TyphiNET data curation and dashboard architecture. A The Global Typhoid Genomics Consortium (GTGC) aggregates and curates Typhi genome data and metadata, using Pathogenwatch as both an analysis platform (calling genotypes and AMR determinants from genome assemblies) and publicly accessible data store. Metadata that are not typically available in NCBI/ENA but are collected and curated by the GTGC include purpose of sampling (to tag datasets that are suitable for estimating AMR/genotype prevalence) and information on country-of-travel for travel-associated isolates (to identify country of origin). B A web-scraper is used to pull the latest versions of genotypes, AMR determinants, and metadata files from GTGC-curated Typhi collections in Pathogenwatch, which are used to populate the TyphiNET database. C The TyphiNET dashboard is implemented as a <t>MERN</t> (MongoDB, Express, React, Node) stack JavaScript application as illustrated. Genome data are filtered to exclude low-quality genome sequences, and data sets whose sampling frames make them unsuitable for AMR surveillance (such as those targeted towards sequencing of resistant strains only, or outbreak investigations), before calculating national/annual prevalences of AMR and genotypes to display in interactive plots. ReactJS is used to provide user interface layouts suitable for viewing the interactive plots on a range of devices (computer, tablet, phone). Users can also download static images of current plot displays (PNG), static reports with all current plots (PDF format), or a copy of the TyphiNET database (CSV format)
Open Source Product, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/10__1080_slash_14680777__2021__1890183-109-19-9?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
open source product - by Bioz Stars, 2026-08
90/100 stars
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document-oriented database (i.e., non-sql)  (MongoDB Inc)
90
MongoDB Inc document-oriented database (i.e., non-sql)
TyphiNET data curation and dashboard architecture. A The Global Typhoid Genomics Consortium (GTGC) aggregates and curates Typhi genome data and metadata, using Pathogenwatch as both an analysis platform (calling genotypes and AMR determinants from genome assemblies) and publicly accessible data store. Metadata that are not typically available in NCBI/ENA but are collected and curated by the GTGC include purpose of sampling (to tag datasets that are suitable for estimating AMR/genotype prevalence) and information on country-of-travel for travel-associated isolates (to identify country of origin). B A web-scraper is used to pull the latest versions of genotypes, AMR determinants, and metadata files from GTGC-curated Typhi collections in Pathogenwatch, which are used to populate the TyphiNET database. C The TyphiNET dashboard is implemented as a <t>MERN</t> (MongoDB, Express, React, Node) stack JavaScript application as illustrated. Genome data are filtered to exclude low-quality genome sequences, and data sets whose sampling frames make them unsuitable for AMR surveillance (such as those targeted towards sequencing of resistant strains only, or outbreak investigations), before calculating national/annual prevalences of AMR and genotypes to display in interactive plots. ReactJS is used to provide user interface layouts suitable for viewing the interactive plots on a range of devices (computer, tablet, phone). Users can also download static images of current plot displays (PNG), static reports with all current plots (PDF format), or a copy of the TyphiNET database (CSV format)
Document Oriented Database (I.E., Non Sql), supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/us12063392-14-7-18?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
document-oriented database (i.e., non-sql) - by Bioz Stars, 2026-08
90/100 stars
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mern (mongodb, express, react, node.js) stack javascript  (MongoDB Inc)
90
MongoDB Inc mern (mongodb, express, react, node.js) stack javascript
TyphiNET data curation and dashboard architecture. A The Global Typhoid Genomics Consortium (GTGC) aggregates and curates Typhi genome data and metadata, using Pathogenwatch as both an analysis platform (calling genotypes and AMR determinants from genome assemblies) and publicly accessible data store. Metadata that are not typically available in NCBI/ENA but are collected and curated by the GTGC include purpose of sampling (to tag datasets that are suitable for estimating AMR/genotype prevalence) and information on country-of-travel for travel-associated isolates (to identify country of origin). B A web-scraper is used to pull the latest versions of genotypes, AMR determinants, and metadata files from GTGC-curated Typhi collections in Pathogenwatch, which are used to populate the TyphiNET database. C The TyphiNET dashboard is implemented as a <t>MERN</t> (MongoDB, Express, React, Node) stack JavaScript application as illustrated. Genome data are filtered to exclude low-quality genome sequences, and data sets whose sampling frames make them unsuitable for AMR surveillance (such as those targeted towards sequencing of resistant strains only, or outbreak investigations), before calculating national/annual prevalences of AMR and genotypes to display in interactive plots. ReactJS is used to provide user interface layouts suitable for viewing the interactive plots on a range of devices (computer, tablet, phone). Users can also download static images of current plot displays (PNG), static reports with all current plots (PDF format), or a copy of the TyphiNET database (CSV format)
Mern (Mongodb, Express, React, Node.Js) Stack Javascript, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/pm37274533-106-5-7?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
mern (mongodb, express, react, node.js) stack javascript - by Bioz Stars, 2026-08
90/100 stars
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open source nosql db  (MongoDB Inc)
90
MongoDB Inc open source nosql db
An example of user weight ( a ) and user blood glucose (BG) ( b ) sensor data in the <t>NoSQL</t> <t>MongoDB.</t>
Open Source Nosql Db, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/pmc06068508-173-15-21?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
open source nosql db - by Bioz Stars, 2026-08
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mongodb3  (MongoDB Inc)
90
MongoDB Inc mongodb3
An example of user weight ( a ) and user blood glucose (BG) ( b ) sensor data in the <t>NoSQL</t> <t>MongoDB.</t>
Mongodb3, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open+source+mongodb+database+component/10__1186_slash_s13174___015___0040___6-302-5-36?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
mongodb3 - by Bioz Stars, 2026-08
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sql server or mongodb databases  (MongoDB Inc)
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MongoDB Inc sql server or mongodb databases
An example of user weight ( a ) and user blood glucose (BG) ( b ) sensor data in the <t>NoSQL</t> <t>MongoDB.</t>
Sql Server Or Mongodb Databases, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


TyphiNET data curation and dashboard architecture. A The Global Typhoid Genomics Consortium (GTGC) aggregates and curates Typhi genome data and metadata, using Pathogenwatch as both an analysis platform (calling genotypes and AMR determinants from genome assemblies) and publicly accessible data store. Metadata that are not typically available in NCBI/ENA but are collected and curated by the GTGC include purpose of sampling (to tag datasets that are suitable for estimating AMR/genotype prevalence) and information on country-of-travel for travel-associated isolates (to identify country of origin). B A web-scraper is used to pull the latest versions of genotypes, AMR determinants, and metadata files from GTGC-curated Typhi collections in Pathogenwatch, which are used to populate the TyphiNET database. C The TyphiNET dashboard is implemented as a MERN (MongoDB, Express, React, Node) stack JavaScript application as illustrated. Genome data are filtered to exclude low-quality genome sequences, and data sets whose sampling frames make them unsuitable for AMR surveillance (such as those targeted towards sequencing of resistant strains only, or outbreak investigations), before calculating national/annual prevalences of AMR and genotypes to display in interactive plots. ReactJS is used to provide user interface layouts suitable for viewing the interactive plots on a range of devices (computer, tablet, phone). Users can also download static images of current plot displays (PNG), static reports with all current plots (PDF format), or a copy of the TyphiNET database (CSV format)

Journal: Genome Medicine

Article Title: The TyphiNET data visualisation dashboard: unlocking Salmonella Typhi genomics data to support public health

doi: 10.1186/s13073-025-01470-4

Figure Lengend Snippet: TyphiNET data curation and dashboard architecture. A The Global Typhoid Genomics Consortium (GTGC) aggregates and curates Typhi genome data and metadata, using Pathogenwatch as both an analysis platform (calling genotypes and AMR determinants from genome assemblies) and publicly accessible data store. Metadata that are not typically available in NCBI/ENA but are collected and curated by the GTGC include purpose of sampling (to tag datasets that are suitable for estimating AMR/genotype prevalence) and information on country-of-travel for travel-associated isolates (to identify country of origin). B A web-scraper is used to pull the latest versions of genotypes, AMR determinants, and metadata files from GTGC-curated Typhi collections in Pathogenwatch, which are used to populate the TyphiNET database. C The TyphiNET dashboard is implemented as a MERN (MongoDB, Express, React, Node) stack JavaScript application as illustrated. Genome data are filtered to exclude low-quality genome sequences, and data sets whose sampling frames make them unsuitable for AMR surveillance (such as those targeted towards sequencing of resistant strains only, or outbreak investigations), before calculating national/annual prevalences of AMR and genotypes to display in interactive plots. ReactJS is used to provide user interface layouts suitable for viewing the interactive plots on a range of devices (computer, tablet, phone). Users can also download static images of current plot displays (PNG), static reports with all current plots (PDF format), or a copy of the TyphiNET database (CSV format)

Article Snippet: TyphiNET was developed as an open-source MERN (MongoDB, Express, React, Node) stack JavaScript application (Fig. ).

Techniques: Sampling, Sequencing

An example of user weight ( a ) and user blood glucose (BG) ( b ) sensor data in the NoSQL MongoDB.

Journal: Sensors (Basel, Switzerland)

Article Title: A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing

doi: 10.3390/s18072183

Figure Lengend Snippet: An example of user weight ( a ) and user blood glucose (BG) ( b ) sensor data in the NoSQL MongoDB.

Article Snippet: A previous study compared the performance of one open source SQL DB (PostgreSQL) and two open source NoSQL DBs (Cassandra and MongoDB) [ ].

Techniques: