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1.
Nucleic Acids Res ; 52(D1): D808-D816, 2024 Jan 05.
Artículo en Inglés | MEDLINE | ID: mdl-37953350

RESUMEN

The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB, https://veupathdb.org) is a Bioinformatics Resource Center funded by the National Institutes of Health with additional funding from the Wellcome Trust. VEuPathDB supports >600 organisms that comprise invertebrate vectors, eukaryotic pathogens (protists and fungi) and relevant free-living or non-pathogenic species or hosts. Since 2004, VEuPathDB has analyzed omics data from the public domain using contemporary bioinformatic workflows, including orthology predictions via OrthoMCL, and integrated the analysis results with analysis tools, visualizations, and advanced search capabilities. The unique data mining platform coupled with >3000 pre-analyzed data sets facilitates the exploration of pertinent omics data in support of hypothesis driven research. Comparisons are easily made across data sets, data types and organisms. A Galaxy workspace offers the opportunity for the analysis of private large-scale datasets and for porting to VEuPathDB for comparisons with integrated data. The MapVEu tool provides a platform for exploration of spatially resolved data such as vector surveillance and insecticide resistance monitoring. To address the growing body of omics data and advances in laboratory techniques, VEuPathDB has added several new data types, searches and features, improved the Galaxy workspace environment, redesigned the MapVEu interface and updated the infrastructure to accommodate these changes.


Asunto(s)
Biología Computacional , Eucariontes , Animales , Biología Computacional/métodos , Invertebrados , Bases de Datos Factuales
2.
Nucleic Acids Res ; 50(D1): D898-D911, 2022 01 07.
Artículo en Inglés | MEDLINE | ID: mdl-34718728

RESUMEN

The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB, https://veupathdb.org) represents the 2019 merger of VectorBase with the EuPathDB projects. As a Bioinformatics Resource Center funded by the National Institutes of Health, with additional support from the Welllcome Trust, VEuPathDB supports >500 organisms comprising invertebrate vectors, eukaryotic pathogens (protists and fungi) and relevant free-living or non-pathogenic species or hosts. Designed to empower researchers with access to Omics data and bioinformatic analyses, VEuPathDB projects integrate >1700 pre-analysed datasets (and associated metadata) with advanced search capabilities, visualizations, and analysis tools in a graphic interface. Diverse data types are analysed with standardized workflows including an in-house OrthoMCL algorithm for predicting orthology. Comparisons are easily made across datasets, data types and organisms in this unique data mining platform. A new site-wide search facilitates access for both experienced and novice users. Upgraded infrastructure and workflows support numerous updates to the web interface, tools, searches and strategies, and Galaxy workspace where users can privately analyse their own data. Forthcoming upgrades include cloud-ready application architecture, expanded support for the Galaxy workspace, tools for interrogating host-pathogen interactions, and improved interactions with affiliated databases (ClinEpiDB, MicrobiomeDB) and other scientific resources, and increased interoperability with the Bacterial & Viral BRC.


Asunto(s)
Bases de Datos Factuales , Vectores de Enfermedades/clasificación , Interacciones Huésped-Patógeno/genética , Fenotipo , Interfaz Usuario-Computador , Animales , Apicomplexa/clasificación , Apicomplexa/genética , Apicomplexa/patogenicidad , Bacterias/clasificación , Bacterias/genética , Bacterias/patogenicidad , Enfermedades Transmisibles/microbiología , Enfermedades Transmisibles/parasitología , Enfermedades Transmisibles/patología , Enfermedades Transmisibles/transmisión , Biología Computacional/métodos , Minería de Datos/métodos , Diplomonadida/clasificación , Diplomonadida/genética , Diplomonadida/patogenicidad , Hongos/clasificación , Hongos/genética , Hongos/patogenicidad , Humanos , Insectos/clasificación , Insectos/genética , Insectos/patogenicidad , Internet , Nematodos/clasificación , Nematodos/genética , Nematodos/patogenicidad , Filogenia , Virulencia , Flujo de Trabajo
3.
Nucleic Acids Res ; 45(D1): D581-D591, 2017 01 04.
Artículo en Inglés | MEDLINE | ID: mdl-27903906

RESUMEN

The Eukaryotic Pathogen Genomics Database Resource (EuPathDB, http://eupathdb.org) is a collection of databases covering 170+ eukaryotic pathogens (protists & fungi), along with relevant free-living and non-pathogenic species, and select pathogen hosts. To facilitate the discovery of meaningful biological relationships, the databases couple preconfigured searches with visualization and analysis tools for comprehensive data mining via intuitive graphical interfaces and APIs. All data are analyzed with the same workflows, including creation of gene orthology profiles, so data are easily compared across data sets, data types and organisms. EuPathDB is updated with numerous new analysis tools, features, data sets and data types. New tools include GO, metabolic pathway and word enrichment analyses plus an online workspace for analysis of personal, non-public, large-scale data. Expanded data content is mostly genomic and functional genomic data while new data types include protein microarray, metabolic pathways, compounds, quantitative proteomics, copy number variation, and polysomal transcriptomics. New features include consistent categorization of searches, data sets and genome browser tracks; redesigned gene pages; effective integration of alternative transcripts; and a EuPathDB Galaxy instance for private analyses of a user's data. Forthcoming upgrades include user workspaces for private integration of data with existing EuPathDB data and improved integration and presentation of host-pathogen interactions.


Asunto(s)
Bases de Datos Genéticas , Eucariontes , Genómica/métodos , Interacciones Huésped-Patógeno/genética , Metagenoma , Metagenómica/métodos , Programas Informáticos , Biología Computacional/métodos , Variaciones en el Número de Copia de ADN , Perfilación de la Expresión Génica , Proteómica , Navegador Web
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