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Found 19 result(s)

HUGO Gene Nomenclature Committee

HGNC

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The HUGO Gene Nomenclature Committee (HGNC) assigned unique gene symbols and names to over 35,000 human loci, of which around 19,000 are protein coding. This curated online repository of HGNC-approved gene nomenclature and associated resources includes links to genomic, proteomic and phenotypic information, as well as dedicated gene family pages.

Genomic Expression Archive

GEA

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Genomic Expression Archive (GEA) is a public database of functional genomics data such as gene expression, epigenetics and genotyping SNP array. Both microarray- and sequence-based data are accepted in the MAGE-TAB format in compliance with MIAME and MINSEQE guidelines, respectively. GEA issues accession numbers, E-GEAD-n to experiment and A-GEAD-n to array design. Data exchange between GEA and EBI ArrayExpress is planned.

Integrated Relational Enzyme database

IntEnz

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IntEnz contains the recommendation of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzyme-catalyzed reactions. Users can browse by enzyme classification or use advanced search options to search enzymes by class, subclass and sub-subclass information.

U.S. National Archives and Records Administration Dataverse

NARA Dataverse

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The National Archives and Records Administration (NARA) is the nation's record keeper. Of all documents and materials created in the course of business conducted by the United States Federal government, only 1%-3% are so important for legal or historical reasons that they are kept by us forever. Those valuable records are preserved and are available to you, whether you want to see if they contain clues about your family’s history, need to prove a veteran’s military service, or are researching an historical topic that interests you.

CIRAD Dataverse

Données de recherche du CIRAD

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The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.

1.2 Meter CO Survey Dataverse

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The Radio Telescope Data Center (RTDC) reduces, archives, and makes available on its web site data from SMA and the CfA Millimeter-wave Telescope. The whole-Galaxy CO survey presented in Dame et al. (2001) is a composite of 37 separate surveys. The data from most of these surveys can be accessed. Larger composites of these surveys are available separately.

National Virtual Observatory

NVO

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<<<!!!>>> NVO - National Virtual Observatory is closed now <<<!!! >>> The National Virtual Observatory (NVO) was the predecessor of the VAO. It was a research project aimed at developing the technologies that would be used to build an operational Virtual Observatory. With the NVO era now over, a new organization has been funded in its place, with the explicit goal of creating useful tools for users to take advantage of the groundwork laid by the NVO. To carry on with the NVO's goals, we hereby introduce you to the Virtual Astronomical Observatory http://www.usvao.org/

International HapMap Project

国际人类基因组单体型图计划

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<<<!!!<<< OFFLINE >>>!!!>>> A recent computer security audit has revealed security flaws in the legacy HapMap site that require NCBI to take it down immediately. We regret the inconvenience, but we are required to do this. That said, NCBI was planning to decommission this site in the near future anyway (although not quite so suddenly), as the 1,000 genomes (1KG) project has established itself as a research standard for population genetics and genomics. NCBI has observed a decline in usage of the HapMap dataset and website with its available resources over the past five years and it has come to the end of its useful life. The International HapMap Project is a multi-country effort to identify and catalog genetic similarities and differences in human beings. Using the information in the HapMap, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. The Project is a collaboration among scientists and funding agencies from Japan, the United Kingdom, Canada, China, Nigeria, and the United States. All of the information generated by the Project will be released into the public domain. The goal of the International HapMap Project is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. By making this information freely available, the Project will help biomedical researchers find genes involved in disease and responses to therapeutic drugs. In the initial phase of the Project, genetic data are being gathered from four populations with African, Asian, and European ancestry. Ongoing interactions with members of these populations are addressing potential ethical issues and providing valuable experience in conducting research with identified populations. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. The Project officially started with a meeting in October 2002 (https://www.genome.gov/10005336/) and is expected to take about three years.

Network for the Detection of Atmospheric Composition Change

NDACC

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The Network for the Detection of Atmospheric Composition Change (NDACC), a major contributor to the worldwide atmospheric research effort, consists of a set of globally distributed research stations providing consistent, standardized, long-term measurements of atmospheric trace gases, particles, spectral UV radiation reaching the Earth's surface, and physical parameters, centered around the following priorities.

Abacus Data Network

Abacus Dataverse Network

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The Abacus Data Network is a data repository collaboration involving Libraries at Simon Fraser University (SFU), the University of British Columbia (UBC), the University of Northern British Columbia (UNBC) and the University of Victoria (UVic).

Queen's University Dataverse

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Queen's University Dataverse is the institutional open access research data repository for Queen's University, featuring Queen's University Biological Station (QUBS) which includes research related to ecology, evolution, resource management and conservation, GIS, climate data, and environmental science.

Laurentian University Dataverse

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Laurentian University Dataverse is an institutional research data repository for research data produced at Laurentian University.

Protein Data Bank in Europe

PDBe

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PDBe is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. In collaboration with the other worldwide Protein Data Bank (wwPDB) partners - the Research Collaboratory for Structural Bioinformatics (RCSB) and BioMagResBank (BMRB) in the USA and the Protein Data Bank of Japan (PDBj) - we work to collate, maintain and provide access to the global repository of macromolecular structure data. We develop tools, services and resources to make structure-related data more accessible to the biomedical community.

DataFirst

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DataFirst's open research data repository, based at the University of Cape Town, gives open access to disaggregated administrative and survey data from African governments and research entities. DataFirst also operates a secure centre at the university to give researchers access to highly-disaggregated South African data.

ThermoML

Representation of Published Experimental Data

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ThermoML presents published experimental data extracted from 5 major journals in the field and links to ThermoML files, which represent experimental thermophysical and thermochemical property data reported in the corresponding articles. At the same time ThermoML is an XML-Based IUPAC Standard for Storage and Exchange of Experimental Thermophysical and Thermochemical Property Data.

InterPro

protein sequence analysis & classification

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InterPro collects information about protein sequence analysis and classification, providing access to a database of predictive protein signatures used for the classification and automatic annotation of proteins and genomes. Sequences in InterPro are classified at superfamily, family, and subfamily. InterPro predicts the occurrence of functional domains, repeats, and important sites, and adds in-depth annotation such as GO terms to the protein signatures.

SureChEMBL

Open Patent Data

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SureChemOpen is a free resource for researchers who want to search, view and link to patent chemistry. For end-users with professional search and analysis needs, we offer the fully-featured SureChemPro. For enterprise users, SureChemDirect provides all our patent chemistry via an API or a data feed. The SureChem family of products is built upon the Claims® Global Patent Database, a comprehensive international patent collection provided by IFI Claims®. This state of the art database is normalized and curated to provide unprecedented consistency and quality.

FlowRepository

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FlowRepository is a web-based application accessible from a web browser that serves as an online database of flow cytometry experiments where users can query and download data collected and annotated according to the MIFlowCyt standard. It is primarily used as a data deposition place for experimental findings published in peer-reviewed journals in the flow cytometry field. FlowRepository is funded by the International Society for Advancement of Cytometry (ISAC) and powered by the Cytobank engine specifically extended for the purposes of this repository. FlowRepository has been developed by forking and extending Cytobank in 2011.

AlgaeBase

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AlgaeBase is a database of information on algae that includes terrestrial, marine and freshwater organisms. At present, the data for the marine algae, particularly seaweeds, are the most complete.