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https://www.jic.ac.uk/

An independent, international center of excellence in plant science and microbiology. Their mission is: * To generate knowledge of plants and microbes through innovative research * To apply their knowledge of nature''s diversity to benefit agriculture, the environment, human health and well-being * To train scientists for the future * To engage with policy makers and the public

Proper citation: John Innes Centre; Norwich; United Kingdom (RRID:SCR_011330) Copy   

•   Source: SciCrunch Registry

http://www.eplantsenescence.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26, 2019. Database of leaf senescence to collect SAGs, mutants, phenotypes and literature references. Leaf senescence has been recognized as the last phase of plant development, a highly ordered process regulated by genes called SAGs. By integrating the data from mutant studies and transgenic analysis, they collected many SAGs related to regulation of the leaf senescence in various species. Additionally, they have categorized SAGs according to their functions in regulation of leaf senescence and used standard criteria to describe senescence associated phenotypes for mutants. Users are welcome to submit the new SAGs.

Proper citation: Leaf Senescence Database (RRID:SCR_010227) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/XEO

Ontology to help plant scientists in documenting and sharing metadata describing the abiotic environment.

Proper citation: XEML Environment Ontology (RRID:SCR_010450) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ZEA

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.

Proper citation: Maize Gross Anatomy Ontology (RRID:SCR_010353) Copy   

•   Source: SciCrunch Registry

http://bis.zju.edu.cn/pnatdb/

Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources involving approximately 2 million NAT pairs in 69 plant species. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs. GO annotation and high-throughput small RNA sequencing data currently available were integrated to investigate the biological function of NATs. A ''''Gene Set Analysis'''' module based on GO annotation was designed to dig out the statistical significantly overrepresented GO categories from the specific NAT network. PlantNATsDB is currently the most comprehensive resource of NATs in the plant kingdom, which can serve as a reference database to investigate the regulatory function of NATs.

Proper citation: PlantNATsDB - Plant Natural Antisense Transcripts DataBase (RRID:SCR_013278) Copy   

•   Source: SciCrunch Registry

http://podb.nibb.ac.jp/Organellome/PODBworld/en/

Images and movies of plant organelle dynamics that were obtained from plant research, based on the Plant Organelles Database. This educational tool is written in layman''''s terms to engage members of the non-scientific community such as students and school teachers. Additional content: ''''What happens, if organelle functions become defective '''' was added in anticipation that readers will be interested in this subject. The Scientific Research of Priority Areas on Organelle Differentiation as the Strategy for Environmental Adaptation in Plants was started on 2004 to promote a comprehensive understanding of plant organelle research, and research with plant scientists all over Japan has been conducted for the past five years. The Plant Organelles Database (PODB), which contains images and movies of various plant organelles that were obtained from this project''''s research was constructed but was designed for scientists. ''''The Plant Organelles World'''' was created for the non-scientific community to understand. Plants have developed mechanisms to adapt to the environment, which is different from the mammalian system of adaption. From recent plant research, the small compartments in cells, ''''organelles'''', have been shown to be involved in various responses to environmental changes. The dramatic development of bio-imaging analysis tools such as green fluorescent protein (GFP), which won a Nobel prize for chemistry in 2008, has contributed to recent plant science, because it has become easier to biotechnologically introduce GFP and its derivatives into cells, leading to convenient methods of observing the inside of cells. As a result, we can analyze organelle dynamics and obtain insights related to understanding the way plants live, as well as forming a deeper understanding of organelles.

Proper citation: Plant Organelles World (RRID:SCR_006313) Copy   

•   Source: SciCrunch Registry

http://podb.nibb.ac.jp/Organellome/

Database of images, movies, and protocols to promote a comprehensive understanding of plant organelle dynamics, including organelle function, biogenesis, differentiation, movement, and interactions with other organelles. It consists of 5 individual parts, ''Perceptive Organelles Database'', ''The Organelles Movie Database'', ''The Organellome Database'', ''The Functional Analysis Database'', and ''External Links to other databases and Web pages''. All the data and protocols in ''The Organelle Movie Database'', ''The Organellome Database'' and ''The Functional Analysis Database'' are populated by direct submission of experimentally determined data from plant researchers. Your active contributions by submission of data and protocols to our database would also be appreciated. * Perceptive Organelles Database: This database contains images and movies of organelles in various tissues during different developmental stages in response to environmental stimuli. * Organelles Movie Database: This database contains time-lapse images, Z slices and projection images of organelles in various tissues during different developmental stages, visualized using fluorescent and non-fluorescent probes. * Organellome Database: This database contains images for cellular structures that are composed of organelle images in various tissues during different developmental stages, visualized with fluorescent and non-fluorescent probes. * Functional Analysis Database: This database is a collection of protocols for plant organelle research. * External Links: Access to biological databases.

Proper citation: Plant Organelles Database (RRID:SCR_006520) Copy   

•   Source: SciCrunch Registry

http://www.ensemblgenomes.org/

Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.

Proper citation: Ensembl Genomes (RRID:SCR_006773) Copy   

•   Source: SciCrunch Registry

https://plantcyc.org/content/plantcyc-15.2.0

Multi species reference database. Comprehensive plant biochemical pathway database, containing curated information from literature and computational analyses about genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism.

Proper citation: PlantCyc (RRID:SCR_002110) Copy   

•   Source: SciCrunch Registry

http://www.lfd.uci.edu/

Biomedical technology research center and training resource that develops novel fluorescence technologies, including instrumentation, methods and software applicable to cellular imaging and the elucidation of dynamic processes in cells. The LFD's main activities are: * Services and Resources: the LFD provides a state-of-the-art laboratory for fluorescence measurements, microscopy and spectroscopy, with technical assistance to visiting scientists. * Research and Development: the LFD designs, tests, and implements advances in the technology of hardware, software, and biomedical applications. * Training and Dissemination: the LFD disseminates knowledge of fluorescence spectroscopic principles, instrumentation, and applications to the scientific community.

Proper citation: Laboratory for Fluorescence Dynamics (RRID:SCR_001437) Copy   

•   Source: SciCrunch Registry

http://ahd.cbi.pku.edu.cn

Database providing a systematic and comprehensive view of morphological phenotypes regulated by plant hormones, as well as regulatory genes participating in numerous plant hormone responses. By integrating the data from mutant studies, transgenic analysis and gene ontology annotation, genes related to the stimulus of eight plant hormones were identified, including abscisic acid, auxin, brassinosteroid, cytokinin, ethylene, gibberellin, jasmonic acid and salicylic acid. Another pronounced characteristics of this database is that a phenotype ontology was developed to precisely describe all kinds of morphological processes regulated by plant hormones with standardized vocabularies. To increase the coverage of phytohormone related genes, the database has been updated from AHD to AHD2.0 adding and integrating several pronounced features: (1) added 291 newly published Arabidopsis hormone related genes as well as corrected information (e.g. the arguable ABA receptors) based on the recent 2-year literature; (2) integrated orthologues of sequenced plants in OrthoMCLDB into each gene in the database; (3) integrated predicted miRNA splicing site in each gene in the database; (4) provided genetic relationship of these phytohormone related genes mining from literature, which represents the first effort to construct a relatively comprehensive and complex network of hormone related genes as shown in the home page of our database; (5) In convenience to in-time bioinformatics analysis, they also provided links to a powerful online analysis platform Weblab that they have recently developed, which will allow users to readily perform various sequence analysis with these phytohormone related genes retrieved from AHD2.0; (6) provided links to other protein databases as well as more expression profiling information that would facilitate users for a more systematic analysis related to phytohormone research. Please help to improve the database with your contributions.

Proper citation: Arabidopsis Hormone Database (RRID:SCR_001792) Copy   

•   Source: SciCrunch Registry

http://grbio.org/

Database of biological collections in natural history museums, herbaria, and other biorepositories resulting from a merger of Index Herbariorum (IH), Biodiversity Collections Index (BCI) and biorepositories.org. It contains more than 14,000 records for biorepository institutions, their collections, and staff members. Their two main goals are to improve access to information about biorepositories, the collections and specimens they house, and the researchers and collection managers who work there; and to facilitate electronic linkages to this information through web services that will rely on unique identifiers assigned to biorepositories and collections. The Consortium for the Barcode of Life (CBOL) has developed and will manage GRBio in collaboration with IH and BCI and in consultation with GBIF and NCBI. GRBio includes four categories of data records that provide information on: * Institutional repositories such as museums, herbaria, botanical gardens, zoos, biomedical research institutes and culture centers; * Institutional collection records such as the bird, algal or insect collections within an institutional repository; * Personal collections such as field samples held by a researcher before they have been accessioned into an institutional collection, or privately owned specimens held by non-researchers; and * Staff members at institutional repositories GRBio operates as a moderated community-curated resource. The community is invited to check and update their records and to register institutions, collections and staff members that have not already been registered. GRBio offers registration of institutional collections, "personal" research collections that have not yet been accessioned into an institutional repository, and privately owned collections.

Proper citation: GRBio (RRID:SCR_002228) Copy   

•   Source: SciCrunch Registry

https://www.genevestigator.com/gv/

A high performance search engine for gene expression that integrates thousands of manually curated public microarray and RNAseq experiments and nicely visualizes gene expression across different biological contexts (diseases, drugs, tissues, cancers, genotypes, etc.). There are two basic analysis approaches: # for a gene of interest, identify which conditions affect its expression. # for condition(s) of interest, identify which genes are specifically expressed in this/these conditions. Genevestigator builds on the deep integration of data, both at the level of data normalization and on the level of sample annotations. This deep integration allows scientists to ask new types of questions that cannot be addressed using conventional tools.

Proper citation: Genevestigator (RRID:SCR_002358) Copy   

•   Source: SciCrunch Registry

http://www.gramene.org

Curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species to facilitate the study of cross-species comparisons using information generated from projects supported by public funds. It currently hosts annotated whole genomes in over two dozen plant species and partial assemblies for almost a dozen wild rice species in the Ensembl browser, genetic and physical maps with genes, ESTs and QTLs locations, genetic diversity data sets, structure-function analysis of proteins, plant pathways databases (BioCyc and Plant Reactome platforms), and descriptions of phenotypic traits and mutations. The web-based displays for phenotypes include the Genes and Quantitative Trait Loci (QTL) modules. Sequence based relationships are displayed in the Genomes module using the genome browser adapted from Ensembl, in the Maps module using the comparative map viewer (CMap) from GMOD, and in the Proteins module displays. BLAST is used to search for similar sequences. Literature supporting all the above data is organized in the Literature database. In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data. Additionally you can access Gramene through an FTP site.

Proper citation: Gramene (RRID:SCR_002829) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.psb.ugent.be/webtools/tapir/

Web server designed for prediction of plant microRNA targets.

Proper citation: TAPIR: target prediction for plant microRNAs (RRID:SCR_000237) Copy   

•   Source: SciCrunch Registry

http://goblet.molgen.mpg.de/cgi-bin/goblet2008/goblet.cgi

Tool that performs annotation based on GO and pathway terms for anonymous cDNA or protein sequences. It uses the species independent GO structure and vocabulary together with a series of protein databases collected from various sites, to perform a detailed GO annotation by sequence similarity searches. The sensitivity and the reference protein sets can be selected by the user. GOblet runs automatically and is available as a public service on our web server. GOblet expects query sequences to be in FASTA-Format (with header-lines). Protein and nucleotide sequences are accepted. Total size of all sequences submitted per request should not be larger than 50kb currently. For security reasons: Larger post's will be rejected. Due to limited capacities the queries may be processed in batches depending on the server load. The output of the BLAST job is filtered automatically and the relevant hits are displayed. In addition, the respective GO-terms are shown together with the complete GO-hierarchy of parent terms., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GOblet (RRID:SCR_006998) Copy   

•   Source: SciCrunch Registry

http://organelledb.lsi.umich.edu/

Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light.

Proper citation: Organelle DB (RRID:SCR_007837) Copy   

•   Source: SciCrunch Registry

http://aps.unmc.edu/AP/main.php

Database and data analysis system dedicated to glossary, nomenclature, classification, information search, prediction, design, and statistics of Antimicrobial peptides and beyond. The peptide data stored in the APD were gleaned from the literature (PubMed, PDB, Google, and Swiss-Prot) manually in the past several years. Peptides will be registered into this database if: # they are from natural sources (bacteria, protozoa, fungi, plants, and animals); # their antimicrobial activities are demonstrated (MIC

Proper citation: APD (RRID:SCR_006606) Copy   

•   Source: SciCrunch Registry

http://bar.utoronto.ca/welcome.htm

Web-based tools for working with functional genomics and other data, including Gene Expression and Protein Tools, Molecular Markers and Mapping Tools, and Other Genomic Tools. Most are designed with the plant (mainly Arabidopsis) researcher in mind, but a couple of them can be useful to the wider research community, e.g. Mouse eFP Browser or BlastDigester. The associated paper for most tools is available.

Proper citation: BAR (RRID:SCR_006748) Copy   

•   Source: SciCrunch Registry

http://jaspar.genereg.net

Open source database of curated, non-redundant set of profiles derived from published collections of experimentally defined transcription factor binding sites for multicellular eukaryotes. Consists of open data access, non-redundancy and quality. JASPAR CORE is smaller set that is non-redundant and curated. Collection of transcription factor DNA-binding preferences, modeled as matrices. These can be converted into Position Weight Matrices (PWMs or PSSMs), used for scanning genomic sequences. Web interface for browsing, searching and subset selection, online sequence analysis utility and suite of programming tools for genome-wide and comparative genomic analysis of regulatory regions. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval.

Proper citation: JASPAR (RRID:SCR_003030) Copy   

•   Source: SciCrunch Registry