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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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KOBAS Resource Report Resource Website 5000+ mentions |
KOBAS (RRID:SCR_006350) | KOBAS | production service resource, software resource, data analysis service, analysis service resource, service resource | Web server to identify statistically enriched pathways, diseases, and GO terms for a set of genes or proteins, using pathway, disease, and GO knowledge from multiple famous databases. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). A standalone command line version is also available, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | ortholog, pathway, disease, gene, protein, annotation, command line, FASEB list |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: OMIM is related to: Pathway Interaction Database is related to: BioCarta Pathways is related to: Reactome is related to: BioCyc is related to: PANTHER is related to: FunDO is related to: Genetic Association Database is related to: GWAS: Catalog of Published Genome-Wide Association Studies has parent organization: Peking University; Beijing; China |
PMID:21715386 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02228 | SCR_006350 | KEGG Orthology Based Annotation System | 2026-08-08 11:58:36 | 5008 | ||||||
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Annotum Resource Report Resource Website |
Annotum (RRID:SCR_006353) | annotum | authoring tool, software resource, software application, source code, service resource | An open-source, open-process, open-access scholarly authoring and publishing platform based on WordPress. Its objectives are to develop a simple, robust, easy-to-use authoring system to create and edit scholarly articles, and to deliver an editorial review and publishing system that can be used to submit, review, and publish scholarly articles. Software and source code are also available. Annotum will build upon the WordPress platform as a foundation, filling in the gaps by providing the following additional features: * Rich, web-based authoring and editing: ** What you see is what you get (WYSIWYG) authoring with rich toolset (equations, figures, tables, citations and references) ** coauthoring, comments, version tracking, and revision comparisons * Strict conformance to a subset of the NLM journal article publishing tag set * Multiple import and export formats ** Export to PDF and XML formats ** Import XML and WXR formats for round-tripping of content ** Articles can be cited, exported, imported across systems/sites * Simple editorial workflow for authoring and reviewer/editor approval * Features specific to scholarly publishing: ** Equations, figures, tables ** References including citation search features ** Auto-generation and registration of CrossRef DOIs | scientific publishing, scholarly publishing, author, publish | Free | nlx_152086 | SCR_006353 | 2026-08-08 11:58:36 | 0 | |||||||||
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NEuronMOrphological analysis tool Resource Report Resource Website 1+ mentions |
NEuronMOrphological analysis tool (RRID:SCR_006304) | NEMO | image processing software, image analysis software, software resource, software application, data processing software | Software to handle and process large numbers of optical microscopy image files of neurons in culture or slices in order to automatically run batch routines, store data and apply multivariate classification and feature extraction using 3-way principal component analysis (PCA). This freeware for semi automated quantitative and dynamic analysis of neuron morphometry incorporates the most important microstructural quantification methods, such as fractal and sholl analysis with statistical and classification tools to provide an integrated image processing environment which enables fast and easy feature identification. It includes: * Friendly interactive graphical user interface * Image pre-processing * Morphological analysis * Topological analysis * Cell counting * 3-way PCA analysis (also available as an ImageJ plugin) * Plot of variables Sequential images of labeled or unlabelled neurons or tissue slices can be uploaded batch-wise in order to create a 3 axis (time, image coordinate) data base and a datamatrix of variables for 3-way Principal Component Analysis*. | morphometric analysis, neuron, morphology, principal component analysis, image pre-processing, neuron reconstruction, morphological analysis, neuron counting, neuron morphology, image processing, morphometrics, 3-way principal component analysis, topological analysis | has parent organization: University of Pisa; Pisa; Italy | Open-source | nlx_151981 | SCR_006304 | NEuronMOrphological analysis tool NEMO, NEMO (NEuron MOrphological analysis tool) | 2026-08-08 11:58:57 | 5 | |||||||
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Lewy Body Dementia Association Resource Report Resource Website 1+ mentions |
Lewy Body Dementia Association (RRID:SCR_006421) | data or information resource, portal, topical portal | The LBDA is a Lewy Body Disease (LBD) information resource for lewy body patients, caregivers, and medical professionals. It provides general information on LBD, including diagnosis, symptoms, treatments, etc., as well as providing links to support resources and an LBD online community. For professionals, the site also provides information on patient care, current LBD research and publications, and diagnostics information. LBDA offers many support resources for those affected by LBD and for their loved ones. These resources include local support group meeting information, online support groups, and user forums where users can find information or ask any questions they may have about the disease. A portion of the site is also dedicated to those who wish to help, either through participation in clinical trials, donations, or volunteering. LBDA also offers information on upcoming LBD-related events. LBDA is located Atlanta, GA. :NIF thanks the : :Parkinson''s Disease Foundation : : :for their referral of this resource to us. | lbd, lewy body, lewy body diagnosis, lewy body disease, lewy body disease clinical trial, lewy body disease community, lewy body disease diagnostics, lewy body disease online, lewy body disease support | nif-0000-11665 | SCR_006421 | LBDA | 2026-08-08 11:58:37 | 4 | ||||||||||
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University of Oulu; Oulu; Finland Resource Report Resource Website |
University of Oulu; Oulu; Finland (RRID:SCR_006301) | university | One of the largest universities in Finland, located in the city of Oulu. It was founded on July 8, 1958. | Wikidata:Q1357517, nlx_60067, grid.10858.34, Crossref funder ID:501100006196, ISNI:0000 0001 0941 4873 | https://ror.org/03yj89h83 | SCR_006301 | 2026-08-08 11:58:36 | 0 | |||||||||||
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FURTHeR Resource Report Resource Website 50+ mentions |
FURTHeR (RRID:SCR_006383) | FURTHeR | data or information resource, community building portal, database, service resource, storage service resource, portal, data repository | Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried. | biomedical, clinical, informatics, platform, federated, translation, institutional review board, data management software, clinical data, federation, FASEB list |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Utah School of Medicine; Utah; USA |
National Center for Advancing Translational Sciences ; U.S. Department of Health and Human Services ; University of Utah Research Foundation ; NCRR UL1 RR025764 |
PMID:20351825 PMID:18999122 |
Restricted | nlx_152164 | http://www.further.utah.edu/ | SCR_006383 | Federated Utah Research and Translational Health Electronic Repository, FURTHeR - Federated Utah Research and Translational Health Electronic Repository | 2026-08-08 11:58:58 | 79 | ||||
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ePRISM Resource Report Resource Website 1+ mentions |
ePRISM (RRID:SCR_006386) | ePRISM | data management software, software resource, software application | Software application that supports the execution of multivariable prediction models with patient-specific characteristics so that personalized estimates of outcomes, often as a function of alternative treatments, can be generated within the routine flow of patient care. This can support evidence-based, shared medical decision-making to improve the safety, outcomes and cost-effectiveness of care. The current application is in the setting of generating individualized informed consent documents for PCI. However, the tool can support that translation of novel biomarkers, genetics and pharmacogenomic interactions into clinical care. The platform gives healthcare providers instantaneous access to the latest clinical prediction models coupled with rich visualization tools. These models may come from national organizations, outcomes researchers or a specific institution. In addition to decision support applications, it can be used to rapidly create personalized educational materials, patient letters, informed consent documents and a broad array of other items that can help elevate the quality of healthcare delivery. | healthcare, clinical, prediction model, visualization, platform |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Kansas Medical Center; Kansas; USA |
nlx_152166 | SCR_006386 | Patient Refined Information Services Manager | 2026-08-08 11:58:37 | 3 | ||||||||
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SNPdryad Resource Report Resource Website 1+ mentions |
SNPdryad (RRID:SCR_006414) | SNPdryad | service resource | Service to predict deleterious non-synonymous human Single Nucleotide Polymorphisms (SNPs) using only orthologous protein sequences. | non-synonymous, single nucleotide polymorphism, ortholog, protein sequence |
is listed by: OMICtools has parent organization: University of Toronto; Ontario; Canada |
PMID:24389653 | OMICS_02198 | SCR_006414 | SNPdryad - Deleterious Non-Synonymous SNP Predictions for Human | 2026-08-08 11:58:44 | 3 | |||||||
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Alzheimer's Research Forum Resource Report Resource Website 100+ mentions |
Alzheimer's Research Forum (RRID:SCR_006416) | ALZForum, ARF | data or information resource, discussion, narrative resource, community building portal, topical portal, portal, disease-related portal | A community building portal dedicated to understanding Alzheimer's disease and related disorders, it reports on the latest scientific findings from basic research to clinical trials, creates and maintains public databases of essential research data and reagents, and produces discussion forums to promote debate, speed the dissemination of new ideas, and break down barriers across disciplines. | alzheimer's disease, human, mouse, community building portal, forum, FASEB list |
is related to: MSGene is related to: ALZPEDIA is parent organization of: AlzSWAN Knowledge Base is parent organization of: AlzGene: Field Synopsis of Genetic Association Studies in AD is parent organization of: Alzforum Antibody Directory for Neuroscience Research |
Alzheimer's disease | grants ; individual donations |
Free, Acknowledgement requested | nif-0000-00095 | SCR_006416 | 2026-08-08 11:58:58 | 127 | ||||||
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cTAKES Resource Report Resource Website 10+ mentions |
cTAKES (RRID:SCR_006379) | cTAKES | text-mining software, software resource, software application, source code | An open-source natural language processing system for information extraction from electronic medical record clinical free-text. This is a system through which one creates one or more pipelines to process clinical notes and to identify clinical named entities. It processes clinical notes, identifying types of clinical named entities, drugs, diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity that is found is given attributes for the text span, the ontology mapping code, the context (family history of, current, unrelated to patient), and negated/not negated. cTAKES is built on the UIMA framework. cTAKES 2.5 does not provide a GUI of its own for installation or processing. The cTAKES documentation shows how to use the GUIs provided by the UIMA framework, and how to run cTAKES from a command line. Before using cTAKES you need to know that cTAKES does not provide any mechanisms of its own to handle patient data securely. It is assumed that cTAKES is installed on a system that can process patient data, or that any data being processed by cTAKES has already been through a deidentification step in order to comply with any applicable laws. The tool has been developed and deployed at Mayo Clinic since early 2000. | natural language processing, information extraction, electronic medical record, medical record, clinical, free-text, annotation, unstructured information management architecture, uima |
is related to: Clinical and Translational Science Awards Consortium has parent organization: Mayo Clinic Minnesota; Minnesota; USA has parent organization: National Cancer Institute |
IBM UIMA ; SHARPn Strategic Health IT Advanced Research Projects Area 4: Secondary Use of EHR Data Cooperative Agreement from the HHS Office of the National Coordinator Washington DC DHHS 90TR000201 |
PMID:23286462 PMID:20819853 |
Open-source | nlx_152159 | https://wiki.nci.nih.gov/display/VKC/cTAKES+2.5 | SCR_006379 | cTAKES - clinical Text Analytics and Knowledge Extraction System, Clinical Text Analysis and Knowledge Extraction System | 2026-08-08 11:58:58 | 45 | ||||
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Human Nervous System Disease and Injury Resource Report Resource Website |
Human Nervous System Disease and Injury (RRID:SCR_006370) | image collection, data or information resource, data set | A collection of images of the human nervous system focusing on disease and injury. | disease, injury, central nervous system, brain, human, hemorrhage, trauma, holoprosencephaly, huntington's disease, image collection | is related to: Human Nervous System Neuroanatomy | Multiple Sclerosis, Parkinson's disease, Alzheimer's disease, Abscess | Public | nlx_152122 | SCR_006370 | Human Nervous System - Disease and Injury | 2026-08-08 11:58:43 | 0 | |||||||
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QCGWAS Resource Report Resource Website 1+ mentions |
QCGWAS (RRID:SCR_006408) | QCGWAS | software resource | Software tools for (automated and manual) quality control of the results of Genome Wide Association Studies. | quality control, genome wide association study, windows, os x, r, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:24395754 | GNU General Public License, v3 or later | OMICS_02203, biotools:qcgwas | https://bio.tools/qcgwas | SCR_006408 | QCGWAS: Quality Control of Genome Wide Association Study results, Quality Control of Genome Wide Association Study | 2026-08-08 11:58:58 | 7 | |||||
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PredictSNP Resource Report Resource Website 100+ mentions |
PredictSNP (RRID:SCR_006327) | PredictSNP | production service resource, software resource, data analysis service, analysis service resource, service resource | Consensus classifier tool that combines six of the top performing tools for the prediction of the effects of mutation on protein function. The obtained results are provided together with annotations extracted from the Protein Mutant Database and the UniProt database. A stand-alone version is also available. | single nucleotide polymorphism, classifier, prediction, mutation, protein function, FASEB list |
is listed by: OMICtools is related to: Protein Mutant Database is related to: UniProt |
PMID:24453961 | Free for academic use | OMICS_02218 | SCR_006327 | PredictSNP - Consensus classifier for prediction of disease-related mutations | 2026-08-08 11:58:43 | 148 | ||||||
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Worcester Polytechnic Institute; Massachusetts; USA Resource Report Resource Website 1+ mentions |
Worcester Polytechnic Institute; Massachusetts; USA (RRID:SCR_006328) | WPI | institution | Private research university in Worcester, Massachusetts, focusing on the instruction and research of technical arts and applied sciences. | University | is parent organization of: Medical Image Visualization and Analysis | grid.268323.e, nlx_155573, ISNI: 0000 0001 1957 0327, Wikidata: Q195046 | https://ror.org/05ejpqr48 | SCR_006328 | Worcester Polytechnic Institute | 2026-08-08 11:58:57 | 1 | |||||||
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Chimpanzee Biomedical Research Resource Resource Report Resource Website 1+ mentions |
Chimpanzee Biomedical Research Resource (RRID:SCR_006289) | CBRR | organism-related portal, data or information resource, portal, topical portal | One of only four NCRR-supported centers with the capability to conduct biomedical research in the chimpanzee, it offers chimpanzee-derived cell lines, antibodies and other biological materials, along with a registry of biologic reagents that are known to work in the chimpanzee. The Resource and Management Core is responsible for providing animal resources, tissues/biological fluids, cell lines, expert advice and research support to NIH extramural and intramural programs, other federal agencies and private sponsors. The Resource-Related Research Core conducts research to improve the health of the animals maintained, with special emphasis on studies that will enhance the usefulness of the chimpanzee as a model for studies of human disease. Resource-related research will focus on characterization of the immune system of the chimpanzee, expansion of our understanding of chimpanzee cardiomyopathy as a potential human disease model and comparisons of the physiologic and immunological consequences of research manipulations on chimpanzees trained to voluntarily cooperate with research procedures. By expanding the resources available, conducting resource-related research and containing costs, the CBRR will continue to provide a critically important, highly specialized research resource to address important human health issues. | cardiomyopathy, immune system, animal model, human disease, biological material, cell line, antibody |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Texas MD Anderson Cancer Center |
NCRR | Free, Freely available | nlx_151945 | http://www.kccmr.org/ | SCR_006289 | , KCCMR Chimpanzee Biomedical Research Resource, Keeling Center for Comparative Medicine and Research Chimpanzee Care Center | 2026-08-08 11:58:35 | 1 | |||||
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Shanoir Resource Report Resource Website 1+ mentions |
Shanoir (RRID:SCR_006286) | Shanoir | data management software, software resource, software application | An open source data sharing and visualization platform for neuroimaging data, that uses the OntoNeuroLOG ontology. Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizard to make the completion of metadata easy. Shanoir comes with many features such as anonymization of data, support for multicenter clinical studies on subjects or group of subjects. Shanoir offers an ontology-based data organization (OntoNeuroLOG). Among other things, this facilitates the reuse of data and metadata, the integration of processed data and provides traceability trough an evolutionary approach. Shanoir allows researchers, clinicians, PhD students and engineers to undertake quality research projects with an emphasis on remote collaboration. As a secured J2EE web application, it therefore allows you safely store and archive, with no more requirements than a computer with an internet connection. Furthermore, Shanoir is not only a web application: it is also a complete neuroinformatics platform in which you can easily integrate your existing processing tools or develop your own ones: see ShanoirTk. Shanoir is a project carried out by the VisAGeS Team, based at IRISA (INRIA Rennes - Bretagne Atlantique Research Centre). This software is released under QPL 1.0 license. | neuroimaging, adult human, neuroinformatics, platform, web application, data sharing, visualization | has parent organization: National Institute for Research in Computer Science and Control; Brittany; France | QPL 1.0 license | nlx_151930 | SCR_006286 | Sharing NeurOImaging Resources | 2026-08-08 11:58:57 | 1 | |||||||
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Amazon Web Services Public Data Sets Resource Report Resource Website 1+ mentions |
Amazon Web Services Public Data Sets (RRID:SCR_006318) | AWS Public Data Sets | data or information resource, data set, service resource, storage service resource, data repository | A multidisciplinary repository of public data sets such as the Human Genome and US Census data that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge for the community. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users. If you have a public domain or non-proprietary data set that you think is useful and interesting to the AWS community, please submit a request and the AWS team will review your submission and get back to you. Typically the data sets in the repository are between 1 GB to 1 TB in size (based on the Amazon EBS volume limit), but they can work with you to host larger data sets as well. You must have the right to make the data freely available. | astronomy, biology, chemistry, climatology, economics, encyclopedia, dictionary, mathematics, data collection platform, data sharing, geography, data archive |
is listed by: re3data.org is listed by: DataCite has parent organization: Amazon Web Services |
Public, The community can contribute to this resource | nlx_152013, r3d100010855 | https://doi.org/10.17616/R3M91V | SCR_006318 | Public Data Sets on AWS | 2026-08-08 11:58:36 | 1 | ||||||
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Johns Hopkins Point of Care Guides Resource Report Resource Website 1+ mentions |
Johns Hopkins Point of Care Guides (RRID:SCR_006314) | Johns Hopkins POC-IT Guides | data or information resource, software resource, software application, database, mobile app | Authoritative, need-to-know information from Johns Hopkins available for mobile devices and the web. Guides provide up to date information and break down details of diagnosis, drug indications, dosing, pharmacokinetics, side effects and interactions, pathogens, management, and vaccines into frequently-updated, quick-read entries. Available for infectious disease (ABX), diabetes, and HIV. | point of care, antibiotic, pathogen, infectious disease, drug, clinical test, management, complication, medication, clinical, infection, resistance | is related to: ABX Guide | Diabetes, Infectious disease, HIV | Available for purchase | nlx_151999 | SCR_006314 | Johns Hopkins Medicine POC-IT Guides, Johns Hopkins Guides: Antibiotic HIV and Diabetes Guides, POC-IT Guides | 2026-08-08 11:58:57 | 2 | ||||||
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General Neural Simulation System Resource Report Resource Website 100+ mentions |
General Neural Simulation System (RRID:SCR_006316) | GENESIS | data or information resource, software toolkit, narrative resource, software library, software resource, software application, data set, source code, simulation software, training material | General purpose simulation platform developed to support the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, simulations of large networks, and systems-level models. As such, GENESIS, and its version for parallel and networked computers (PGENESIS) was the first broad scale modeling system in computational biology to encourage modelers to develop and share model features and components. User contributed GENESIS models and simulations are available. You may to contribute a model or simulation. Educational tutorials for instruction in both neurobiology and computational methods have been developed. These tutorials and GENESIS are now being widely used in graduate and undergraduate instruction. These uses include full semester courses in computational neuroscience or neural modeling, short intensive courses or workshops, an option for a course project, and short units on computational neuroscience within courses on artificial neural nets. They also have a repository of user-contributed tutorials and materials for use in neuroscience education. If you have course descriptions, syllabi, exercises, tutorials, or short HOWTO documents, please upload them to Education. | electrophysiology, computer, in silico, model, modeling, simulation, neural system, network, neurobiology, computational neuroscience, neural modeling, subcellular, biochemical reaction, neuron, channel, cell, FASEB list |
is related to: GENESIS Neural Database and Modelers Workspace is related to: ChannelDB is related to: Topographica has parent organization: University of Texas at San Antonio; Texas; USA is parent organization of: The Book of GENESIS |
The community can contribute to this resource | nif-0000-00091 | http://www.nitrc.org/projects/genesis http://genesis-sim.org/GENESIS/ | SCR_006316 | GENESIS, GENESIS Simulator, GEneral NEural SImulation System | 2026-08-08 11:58:42 | 459 | ||||||
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Plant Organelles World Resource Report Resource Website |
Plant Organelles World (RRID:SCR_006313) | Plant Organelles World | video resource, data or information resource, image collection | 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. | organelle, electron microscopy, environment |
is related to: Plant Organelles Database has parent organization: National Institute for Basic Biology; Okazaki; Japan |
PMID:21115470 | nlx_151997 | SCR_006313 | 2026-08-08 11:58:42 | 0 |
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