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1.
Nucleic Acids Res ; 50(D1): D996-D1003, 2022 01 07.
Artículo en Inglés | MEDLINE | ID: mdl-34791415

RESUMEN

Ensembl Genomes (https://www.ensemblgenomes.org) provides access to non-vertebrate genomes and analysis complementing vertebrate resources developed by the Ensembl project (https://www.ensembl.org). The two resources collectively present genome annotation through a consistent set of interfaces spanning the tree of life presenting genome sequence, annotation, variation, transcriptomic data and comparative analysis. Here, we present our largest increase in plant, metazoan and fungal genomes since the project's inception creating one of the world's most comprehensive genomic resources and describe our efforts to reduce genome redundancy in our Bacteria portal. We detail our new efforts in gene annotation, our emerging support for pangenome analysis, our efforts to accelerate data dissemination through the Ensembl Rapid Release resource and our new AlphaFold visualization. Finally, we present details of our future plans including updates on our integration with Ensembl, and how we plan to improve our support for the microbial research community. Software and data are made available without restriction via our website, online tools platform and programmatic interfaces (available under an Apache 2.0 license). Data updates are synchronised with Ensembl's release cycle.


Asunto(s)
Bases de Datos Genéticas , Genómica , Internet , Programas Informáticos , Animales , Biología Computacional , Genoma Bacteriano/genética , Genoma Fúngico/genética , Genoma de Planta/genética , Plantas/clasificación , Plantas/genética , Vertebrados/clasificación , Vertebrados/genética
2.
Nucleic Acids Res ; 49(D1): D1452-D1463, 2021 01 08.
Artículo en Inglés | MEDLINE | ID: mdl-33170273

RESUMEN

Gramene (http://www.gramene.org), a knowledgebase founded on comparative functional analyses of genomic and pathway data for model plants and major crops, supports agricultural researchers worldwide. The resource is committed to open access and reproducible science based on the FAIR data principles. Since the last NAR update, we made nine releases; doubled the genome portal's content; expanded curated genes, pathways and expression sets; and implemented the Domain Informational Vocabulary Extraction (DIVE) algorithm for extracting gene function information from publications. The current release, #63 (October 2020), hosts 93 reference genomes-over 3.9 million genes in 122 947 families with orthologous and paralogous classifications. Plant Reactome portrays pathway networks using a combination of manual biocuration in rice (320 reference pathways) and orthology-based projections to 106 species. The Reactome platform facilitates comparison between reference and projected pathways, gene expression analyses and overlays of gene-gene interactions. Gramene integrates ontology-based protein structure-function annotation; information on genetic, epigenetic, expression, and phenotypic diversity; and gene functional annotations extracted from plant-focused journals using DIVE. We train plant researchers in biocuration of genes and pathways; host curated maize gene structures as tracks in the maize genome browser; and integrate curated rice genes and pathways in the Plant Reactome.


Asunto(s)
Bases de Datos Genéticas , Regulación de la Expresión Génica de las Plantas , Genoma de Planta , Genómica/métodos , Proteínas de Plantas/genética , Plantas/genética , Productos Agrícolas , Elementos Transponibles de ADN , Duplicación de Gen , Ontología de Genes , Redes Reguladoras de Genes , Internet , Bases del Conocimiento , Redes y Vías Metabólicas , Anotación de Secuencia Molecular , Oryza/genética , Oryza/metabolismo , Proteínas de Plantas/metabolismo , Plantas/clasificación , Plantas/metabolismo , Poliploidía , Mapeo de Interacción de Proteínas , Programas Informáticos , Zea mays/genética , Zea mays/metabolismo
3.
Plant J ; 106(2): 566-579, 2021 04.
Artículo en Inglés | MEDLINE | ID: mdl-33476427

RESUMEN

High-throughput phenotyping systems are powerful, dramatically changing our ability to document, measure, and detect biological phenomena. Here, we describe a cost-effective combination of a custom-built imaging platform and deep-learning-based computer vision pipeline. A minimal version of the maize (Zea mays) ear scanner was built with low-cost and readily available parts. The scanner rotates a maize ear while a digital camera captures a video of the surface of the ear, which is then digitally flattened into a two-dimensional projection. Segregating GFP and anthocyanin kernel phenotypes are clearly distinguishable in ear projections and can be manually annotated and analyzed using image analysis software. Increased throughput was attained by designing and implementing an automated kernel counting system using transfer learning and a deep learning object detection model. The computer vision model was able to rapidly assess over 390 000 kernels, identifying male-specific transmission defects across a wide range of GFP-marked mutant alleles. This includes a previously undescribed defect putatively associated with mutation of Zm00001d002824, a gene predicted to encode a vacuolar processing enzyme. Thus, by using this system, the quantification of transmission data and other ear and kernel phenotypes can be accelerated and scaled to generate large datasets for robust analyses.


Asunto(s)
Semillas/anatomía & histología , Zea mays/anatomía & histología , Análisis Costo-Beneficio , Conjuntos de Datos como Asunto , Aprendizaje Profundo , Ensayos Analíticos de Alto Rendimiento/economía , Ensayos Analíticos de Alto Rendimiento/instrumentación , Ensayos Analíticos de Alto Rendimiento/métodos , Fenotipo , Semillas/clasificación , Grabación en Video/métodos , Zea mays/clasificación
4.
Nucleic Acids Res ; 48(D1): D1093-D1103, 2020 01 08.
Artículo en Inglés | MEDLINE | ID: mdl-31680153

RESUMEN

Plant Reactome (https://plantreactome.gramene.org) is an open-source, comparative plant pathway knowledgebase of the Gramene project. It uses Oryza sativa (rice) as a reference species for manual curation of pathways and extends pathway knowledge to another 82 plant species via gene-orthology projection using the Reactome data model and framework. It currently hosts 298 reference pathways, including metabolic and transport pathways, transcriptional networks, hormone signaling pathways, and plant developmental processes. In addition to browsing plant pathways, users can upload and analyze their omics data, such as the gene-expression data, and overlay curated or experimental gene-gene interaction data to extend pathway knowledge. The curation team actively engages researchers and students on gene and pathway curation by offering workshops and online tutorials. The Plant Reactome supports, implements and collaborates with the wider community to make data and tools related to genes, genomes, and pathways Findable, Accessible, Interoperable and Re-usable (FAIR).


Asunto(s)
Biología Computacional/métodos , Bases de Datos Genéticas , Genómica , Metabolómica , Plantas/genética , Plantas/metabolismo , Proteómica , Redes Reguladoras de Genes , Genómica/métodos , Humanos , Redes y Vías Metabólicas , Metabolómica/métodos , Proteómica/métodos , Transducción de Señal , Navegador Web
5.
Nucleic Acids Res ; 48(D1): D689-D695, 2020 01 08.
Artículo en Inglés | MEDLINE | ID: mdl-31598706

RESUMEN

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of interfaces to genomic data across the tree of life, including reference genome sequence, gene models, transcriptional data, genetic variation and comparative analysis. Data may be accessed via our website, online tools platform and programmatic interfaces, with updates made four times per year (in synchrony with Ensembl). Here, we provide an overview of Ensembl Genomes, with a focus on recent developments. These include the continued growth, more robust and reproducible sets of orthologues and paralogues, and enriched views of gene expression and gene function in plants. Finally, we report on our continued deeper integration with the Ensembl project, which forms a key part of our future strategy for dealing with the increasing quantity of available genome-scale data across the tree of life.


Asunto(s)
Biología Computacional/métodos , Bases de Datos Genéticas , Variación Genética , Genoma Bacteriano , Genoma Fúngico , Genoma de Planta , Algoritmos , Animales , Caenorhabditis elegans/genética , Genómica , Internet , Anotación de Secuencia Molecular , Fenotipo , Plantas/genética , Valores de Referencia , Programas Informáticos , Interfaz Usuario-Computador
6.
Nucleic Acids Res ; 46(D1): D1168-D1180, 2018 01 04.
Artículo en Inglés | MEDLINE | ID: mdl-29186578

RESUMEN

The Planteome project (http://www.planteome.org) provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides access to species-specific Crop Ontologies developed by various plant breeding and research communities from around the world. We provide integrated data on plant traits, phenotypes, and gene function and expression from 95 plant taxa, annotated with reference ontology terms. The Planteome project is developing a plant gene annotation platform; Planteome Noctua, to facilitate community engagement. All the Planteome ontologies are publicly available and are maintained at the Planteome GitHub site (https://github.com/Planteome) for sharing, tracking revisions and new requests. The annotated data are freely accessible from the ontology browser (http://browser.planteome.org/amigo) and our data repository.


Asunto(s)
Bases de Datos Genéticas , Genoma de Planta , Plantas/genética , Productos Agrícolas/genética , Curaduría de Datos , Regulación de la Expresión Génica de las Plantas , Ontología de Genes , Anotación de Secuencia Molecular , Fenotipo , Programas Informáticos , Interfaz Usuario-Computador
7.
Nucleic Acids Res ; 46(D1): D246-D251, 2018 01 04.
Artículo en Inglés | MEDLINE | ID: mdl-29165655

RESUMEN

Expression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species and contexts, such as tissue, developmental stage, disease or cell type. The available public and controlled access data sets from different sources are curated and re-analysed using standardized, open source pipelines and made available for queries, download and visualization. As of August 2017, Expression Atlas holds data from 3,126 studies across 33 different species, including 731 from plants. Data from large-scale RNA sequencing studies including Blueprint, PCAWG, ENCODE, GTEx and HipSci can be visualized next to each other. In Expression Atlas, users can query genes or gene-sets of interest and explore their expression across or within species, tissues, developmental stages in a constitutive or differential context, representing the effects of diseases, conditions or experimental interventions. All processed data matrices are available for direct download in tab-delimited format or as R-data. In addition to the web interface, data sets can now be searched and downloaded through the Expression Atlas R package. Novel features and visualizations include the on-the-fly analysis of gene set overlaps and the option to view gene co-expression in experiments investigating constitutive gene expression across tissues or other conditions.


Asunto(s)
Bases de Datos Genéticas , Animales , Perfilación de la Expresión Génica , Humanos , Mamíferos/genética , Mamíferos/metabolismo , Análisis de Secuencia por Matrices de Oligonucleótidos , Plantas/genética , Plantas/metabolismo , Proteómica , Análisis de Secuencia de ARN , Especificidad de la Especie , Interfaz Usuario-Computador
8.
Nucleic Acids Res ; 46(D1): D1181-D1189, 2018 01 04.
Artículo en Inglés | MEDLINE | ID: mdl-29165610

RESUMEN

Gramene (http://www.gramene.org) is a knowledgebase for comparative functional analysis in major crops and model plant species. The current release, #54, includes over 1.7 million genes from 44 reference genomes, most of which were organized into 62,367 gene families through orthologous and paralogous gene classification, whole-genome alignments, and synteny. Additional gene annotations include ontology-based protein structure and function; genetic, epigenetic, and phenotypic diversity; and pathway associations. Gramene's Plant Reactome provides a knowledgebase of cellular-level plant pathway networks. Specifically, it uses curated rice reference pathways to derive pathway projections for an additional 66 species based on gene orthology, and facilitates display of gene expression, gene-gene interactions, and user-defined omics data in the context of these pathways. As a community portal, Gramene integrates best-of-class software and infrastructure components including the Ensembl genome browser, Reactome pathway browser, and Expression Atlas widgets, and undergoes periodic data and software upgrades. Via powerful, intuitive search interfaces, users can easily query across various portals and interactively analyze search results by clicking on diverse features such as genomic context, highly augmented gene trees, gene expression anatomograms, associated pathways, and external informatics resources. All data in Gramene are accessible through both visual and programmatic interfaces.


Asunto(s)
Bases de Datos Genéticas , Regulación de la Expresión Génica de las Plantas , Genómica/métodos , Bases del Conocimiento , Plantas/genética , Epigénesis Genética , Ontología de Genes , Investigación Genética , Variación Genética , Genoma de Planta , Redes y Vías Metabólicas/genética , Anotación de Secuencia Molecular , Plantas/metabolismo , Programas Informáticos , Interfaz Usuario-Computador
9.
Nucleic Acids Res ; 45(D1): D1029-D1039, 2017 01 04.
Artículo en Inglés | MEDLINE | ID: mdl-27799469

RESUMEN

Plant Reactome (http://plantreactome.gramene.org/) is a free, open-source, curated plant pathway database portal, provided as part of the Gramene project. The database provides intuitive bioinformatics tools for the visualization, analysis and interpretation of pathway knowledge to support genome annotation, genome analysis, modeling, systems biology, basic research and education. Plant Reactome employs the structural framework of a plant cell to show metabolic, transport, genetic, developmental and signaling pathways. We manually curate molecular details of pathways in these domains for reference species Oryza sativa (rice) supported by published literature and annotation of well-characterized genes. Two hundred twenty-two rice pathways, 1025 reactions associated with 1173 proteins, 907 small molecules and 256 literature references have been curated to date. These reference annotations were used to project pathways for 62 model, crop and evolutionarily significant plant species based on gene homology. Database users can search and browse various components of the database, visualize curated baseline expression of pathway-associated genes provided by the Expression Atlas and upload and analyze their Omics datasets. The database also offers data access via Application Programming Interfaces (APIs) and in various standardized pathway formats, such as SBML and BioPAX.


Asunto(s)
Biología Computacional/métodos , Bases de Datos Genéticas , Plantas/genética , Plantas/metabolismo , Motor de Búsqueda , Genómica/métodos , Redes y Vías Metabólicas , Transducción de Señal , Biología de Sistemas/métodos , Interfaz Usuario-Computador , Navegador Web
10.
Nucleic Acids Res ; 44(D1): D1133-40, 2016 Jan 04.
Artículo en Inglés | MEDLINE | ID: mdl-26553803

RESUMEN

Gramene (http://www.gramene.org) is an online resource for comparative functional genomics in crops and model plant species. Its two main frameworks are genomes (collaboration with Ensembl Plants) and pathways (The Plant Reactome and archival BioCyc databases). Since our last NAR update, the database website adopted a new Drupal management platform. The genomes section features 39 fully assembled reference genomes that are integrated using ontology-based annotation and comparative analyses, and accessed through both visual and programmatic interfaces. Additional community data, such as genetic variation, expression and methylation, are also mapped for a subset of genomes. The Plant Reactome pathway portal (http://plantreactome.gramene.org) provides a reference resource for analyzing plant metabolic and regulatory pathways. In addition to ∼ 200 curated rice reference pathways, the portal hosts gene homology-based pathway projections for 33 plant species. Both the genome and pathway browsers interface with the EMBL-EBI's Expression Atlas to enable the projection of baseline and differential expression data from curated expression studies in plants. Gramene's archive website (http://archive.gramene.org) continues to provide previously reported resources on comparative maps, markers and QTL. To further aid our users, we have also introduced a live monthly educational webinar series and a Gramene YouTube channel carrying video tutorials.


Asunto(s)
Bases de Datos Genéticas , Genoma de Planta , Plantas/metabolismo , Expresión Génica , Variación Genética , Genómica , Internet , Redes y Vías Metabólicas , Anotación de Secuencia Molecular , Plantas/genética
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