Arabidopsis Gene Regulatory Information Server. An information resource of Arabidopsis cis regulatory elements and transcription factors.
From the abstract: Three interlinked databases, AtTFDB, AtcisDB and AtRegNet, furnish comprehensive and updated information on transcription factors (TFs), predicted and experimentally verified cis-regulatory elements (CREs) and their interactions, respectively. Tools recently incorporated into AGRIS include the integration of AtRegNet with visualization tools, such as the recently developed ReIN application. All the information in AGRIS is publicly available and downloadable upon registration.
AraCyc is a metabolic pathway database for Arabidopsis thaliana that contains information about both predicted and experimentally determined pathways, reactions, compounds, genes and enzymes. The Omics viewer is a software for displaying large scale data such as microarray gene expression results or proteomic data in the context of biochemical pathways.
AthaMap provides a genome-wide map of potential transcription factor and small RNA binding sites in Arabidopsis thaliana. The database was updated to the TAIR8 genome release.
From the abstract: The AthaMap database generates a map of potential transcription factor binding sites (TFBS) and small RNA target sites in the Arabidopsis thaliana genome.
Explores "expressologs" (orthologs that exhibit the highest expression profile ranking) in 6 plant species with an intuitive interface for visualizing both sequence and expression pattern similarity.
Comprehensive enzyme information edited from the scientific literature for many proteins across a range of organisms including Arabidopsis.
From the abstract: The BRENDA (BRaunschweig ENzyme Database) enzyme information system is the main collection of enzyme functional and property data for the scientific community. The content covers information on function, structure, occurrence, preparation and application of enzymes as well as properties of mutants and engineered variants. The number of manually annotated references is more than 100,000, the number of ligand structures almost 100,000. BRENDA now provides new viewing options such as the display of the statistics of functional parameters and the 3D view of protein sequence and structure features. Furthermore a ligand summary shows comprehensive information on the BRENDA ligands. The enzymes are linked to their respective pathways and can be viewed in pathway maps. It is possible to submit new, not yet classified enzymes to BRENDA, which then are reviewed and classified by the International Union of Biochemistry and Molecular Biology.
The Comprehensive Systems-Biology Database (CSB.DB) provides a useful portal into systems biology by allowing statistical analysis of gene expression data. CSB.DB maintains databases of various model organisms, namely Escherichia coli, Saccharomyces cerevisiae and Arabidopsis thaliana (this include NASC affymextric data). Comprehensive analyses of these data sets can be achieved via various tools provided by CSB.DB allowing parallel evaluation of a compendium of data.
From the website: The Gene Ontology project provides an ontology of defined terms representing gene product properties. The ontology covers three domains: cellular component, the parts of a cell or its extracellular environment; molecular function, the elemental activities of a gene product at the molecular level, such as binding or catalysis; and biological process, operations or sets of molecular events with a defined beginning and end, pertinent to the functioning of integrated living units: cells, tissues, organs, and organisms.
From the abstract: MAPMAN is a user-driven tool that displays large data sets onto diagrams of metabolic pathways or other processes. It can group genes on the Arabidopsis Affymetrix 22K array into >200 hierarchical categories, providing a breakdown of central metabolism (for several pathways, down to the single enzyme level), and an overview of secondary metabolism and cellular processes; group hundreds of metabolites into pathways or groups of structurally related compounds; and use these groupings to organise and display experimental data sets onto diagrams of the users' choice.
The Metabolic Network Exchange contains publicly available software for analysis, visualisation, and modelling of transcriptomics, proteomics and metabolomics data in the context of a growing metabolic and regulatory network map of Arabidopsis, Soybean, and other species.
From the website: The Plant Ontology is a controlled vocabulary (ontology) that describes plant anatomy and morphology and stages of development for all plants. The goal of the PO is to establish a semantic framework for meaningful cross-species queries across gene expression and phenotype data sets from plant genomics and genetics experiments.
Plant regulome aims to:
- Produce nucleotide-resolution maps of cis-regulatory DNA in major developmental stages, tissues and cell types in the reference strain Col-0.
- Define the chromatin structural and cis-regulatory DNA response programs of Col-0 tissues to major hormonal, biotic and abiotic cues.
- Determine the divergence and conservation of cis-regulatory DNA in closely related Arabidopsis ecotypes
- Integrate cis-regulatory DNA programs into gene regulatory networks and to and disseminate high-quality cis-regulatory annotations as well as primary data to the public
Designed by the Sauro Lab, SBW is a free download which provides a framework for application intercommunications. It supports many languages and runs on different platforms. The package includes Jarnac, a biochemical network simulation tool; JDesigner, which designs biochemical networks; and a MatLab Interface.
From the abstract: In this paper, we describe the Systems Biology Workbench (SBW), a software framework that allows heterogeneous application components--written in diverse programming languages and running on different platforms--to communicate and use each others' capabilities via a fast binary encoded-message system. Our goal was to create a simple, high performance, opensource software infrastructure which is easy to implement and understand. SBW enables applications (potentially running on separate, distributed computers) to communicate via a simple network protocol.
Tools for the systematic analysis of Arabidopsis cis-regulatory elements and the associated proteins that control gene transcription.
From the abstract: We have assembled approximately 20 000 Arabidopsis thaliana promoter regions, compatible with functional studies that require cloning and with microarray applications. The promoter fragments can be captured as modular entry clones (MultiSite Gateway format) via site-specific recombinational cloning, and transferred into vectors of choice to investigate transcriptional networks. The fragments can also be amplified by PCR and printed on glass arrays.
Integrates genomic data and provides visualization and analysis tools for rapid and efficient exploration of Arabidopsis genome wide data.
From the abstract: VirtualPlant enables scientists to visualize, integrate, and analyze genomic data from a systems biology perspective. VirtualPlant integrates genome-wide data concerning the known and predicted relationships among genes, proteins, and molecules, as well as genome-scale experimental measurements. Importantly, VirtualPlant helps biologists who are not trained in computer science to mine lists of genes, microarray experiments, and gene networks to address questions in plant biology
In the interest of plant research and to facilitate community-based annotation of biological pathways (metabolic/biochemical, signaling, genetic and gene-interactions) in plants, WikiPathways, the Jaiswal Lab at Oregon State University, and the Gramene database present to you a freely-available platform which allows you to add, edit and download known and novel published pathways from plants.
Citation: Hanumappa et al. WikiPathways for plants: a community pathway curation portal and a case study in rice and arabidopsis seed development networks. Rice 2013, 6:14 doi:10.1186/1939-8433-6-14. (View Citation)
- Cell Biology Tool Kit
- Data Management Tools
- Deep Sequencing Tool Kit
- Early Career Resources
- General Database
- Genome Databases
- Imaging resources and services
- Metabolomic Tool Kit
- Microarray Facilities
- Microarray Tool Kit
- Mutant Collections
- Natural Variation & QTL Tool Kit
- Next Generation Sequencing Facilities
- Proteomic Tool Kit
- Plant Expression Vectors
- Proteomics & Metabolomic Facilities
- RNA toolkit and repositories
- Software training and resources
- Synthetic Biology
- Systems Biology Centres
- Systems Biology Tool Kit
- Transcriptional Elements
- Video podcasts from UK plant scientists