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Found 122 result(s)
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More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity.
By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing.
This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
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4DGenome is a public database that archives and disseminates chromatin interaction data. Currently, 4DGenome contains over 8,038,247 interactions curated from both experimental studies (high throughput and individual studies) and computational predictions. It covers five organisms, Homo sapiens, Mus musculus, Drosophila melanogaster, Plasmodium falciparum, and Saccharomyces cerevisiae.
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The ABCD Data Repository houses all data generated by the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is supported by NIH partners (the National Institute on Drug Abuse, the National Institute on Alcohol Abuse and Alcoholism, the National Cancer Institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institute of Mental Health, the National Institute on Minority Health and Health Disparities, the National Institute of Neurological Disorders and Stroke, the NIH Office of Behavioral and Social Sciences Research, and the NIH Office of Research on Women’s Health), as well as the Centers for Disease Control and Prevention – Division of Adolescent and School Health. This repository will store data generated by ABCD investigators, serve as a collaborative platform for harmonizing these data, and share those data with qualified researchers.
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ALEXA is a microarray design platform for 'alternative expression analysis'. This platform facilitates the design of expression arrays for analysis of mRNA isoforms generated from a single locus by the use of alternative transcription initiation, splicing and polyadenylation sites. We use the term 'ALEXA' to describe a collection of novel genomic methods for 'alternative expression' analysis. 'Alternative expression' refers to the identification and quantification of alternative mRNA transcripts produced by alternative transcript initiation, alternative splicing and alternative polyadenylation. This website provides supplementary materials, source code and other downloads for recent publications describing our studies of alternative expression (AE). Most recently we have developed a method, 'ALEXA-Seq' and associated resources for alternative expression analysis by massively parallel RNA sequencing.
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Androgen Receptor Gene Mutations Database is for all who are interested in mutations of the Androgen Receptor Gene. In light of the difficulty in getting new AR mutations published the curator will now accept new mutations that have not been published, provided that it is from a reputable research or clinical laboratory. The curator also strongly suggests that where possible, particularly in the case of new unique mutations that an attempt be made to at least confirm the pathogenicity of the putatative mutation, by showing that the mutation when transfected into a suitable expression system produces a mutant androgen receptor protein.
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APID Interactomes is a database that provides a comprehensive collection of protein interactomes for more than 400 organisms based in the integration of known experimentally validated protein-protein physical interactions (PPIs). Construction of the interactomes is done with a methodological approach to report quality levels and coverage over the proteomes for each organism included. In this way, APID provides interactomes from specific organisms that in 25 cases have more than 500 proteins. As a whole APID includes a comprehensive compendium of 90,379 distinct proteins and 678,441 singular interactions. The analytical and integrative effort done in APID unifies PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. In this way, 8,388 structures have been analyzed to find specific protein-protein interactions reported with details of their molecular interfaces. APID also includes a new data visualization web-tool that allows the construction of sub-interactomes using query lists of proteins of interest and the visual exploration of the corresponding networks, including an interactive selection of the properties of the interactions (i.e. the reliability of the "edges" in the network) and an interactive mapping of the functional environment of the proteins (i.e. the functional annotations of the "nodes" in the network).
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Apollo (previously DSpace@Cambridge) is the University of Cambridge’s Institutional Repository (IR), preserving and providing access to content created by members of the University. The repository stores a range of content and provides different levels of access, but its primary focus is on providing open access to the University’s research publications.
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arrayMap is a repository of cancer genome profiling data. Original) from primary repositories (e.g. NCBI GEO, EBI ArrayExpress, TCGA) is re-processed and annotated for metadata. Unique visualization of the processed data allows critical evaluation of data quality and genome information. Structured metadata provides easy access to summary statistics, with a focus on copy number aberrations in cancer entities.
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The Australian Breast Cancer Tissue Bank (ABCTB) provides data contributed by an Australian network of cancer clinicians, researchers, and patients. ABCTB privacy protection policy ensures patients' identities are not revealed and cancer researchers are the only individuals with open access to data.
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The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence. In addition to genomic sequencing, the BDGP is
1) producing gene disruptions using P element-mediated mutagenesis on a scale unprecedented in metazoans;
2) characterizing the sequence and expression of cDNAs; and
3) developing informatics tools that support the experimental process, identify features of DNA sequence, and allow us to present up-to-date information about the annotated sequence to the research community.
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In early 2010 we updated the site to facilitate more rapid transfer of our data to the public database and focus our efforts on the core mission of providing expression pattern images to the research community. The original database https://www.fruitfly.org/index.html reproduced functions available on FlyBase, complicating our updates by the requirement to re-synchronize with FlyBase updates. Our expression reports on the new site still link to FlyBase gene reports, but we no longer reproduce FlyBase functions and therefore can update expression data on an ongoing basis instead of more infrequent major releases. All the functions relating to the expression patterns remain and we soon will add an option to search expression patterns by image similarity, in addition to annotation term searches. In a transitional phase we will leave both the old and the new sites up, but the newer data (post Release 2) will appear only on the new website. We welcome any feedback or requests for additional features. - The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence. In addition to genomic sequencing, the BDGP is
1) producing gene disruptions using P element-mediated mutagenesis on a scale unprecedented in metazoans;
2) characterizing the sequence and expression of cDNAs; and
3) developing informatics tools that support the experimental process, identify features of DNA sequence, and allow us to present up-to-date information about the annotated sequence to the research community.
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Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
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The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans. BioGRID is an online interaction repository with data compiled through comprehensive curation efforts. All interaction data are freely provided through our search index and available via download in a wide variety of standardized formats.
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BioGrid Australia Limited operates a federated data sharing platform for collaborative translational health and medical research providing a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. BioGrid links real-time de-identified health data across institutions, jurisdictions and diseases to assist researchers and clinicians improve their research and clinical outcomes. The web-based infrastructure provides ethical access while protecting both privacy and intellectual property.
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BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. The current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.
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Bioinformatics.org serves the scientific and educational needs of bioinformatic practitioners and the general public. We develop and maintain computational resources to facilitate world-wide communications and collaborations between people of all educational and professional levels. We provide and promote open access to the materials and methods required for, and derived from, research, development and education.
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The Breast Cancer Surveillance Consortium (BCSC) is a research resource for studies designed to assess the delivery and quality of breast cancer screening and related patient outcomes in the United States.
The BCSC is a collaborative network of seven mammography registries with linkages to tumor and/or pathology registries. The network is supported by a central Statistical Coordinating Center.
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Born of the desire to systematize analyses from The Cancer Genome Atlas pilot and scale their execution to the dozens of remaining diseases to be studied, GDAC Firehose now sits atop terabytes of analysis-ready TCGA data and reliably executes thousands of pipelines per month. More information: https://broadinstitute.atlassian.net/wiki/spaces/GDAC/
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!!! <<< Genome data generated by BC Genome Sciences Centre is no longer available through this site as it is regularly deposited into controlled data repositories such as the European Genome Phenome Archive (EGA); ICGC (International Cancer Genome Consortium) and the Genome Data Commons (GDC) <<< !!! Using serial analysis of gene expression (SAGE) and microarrays, we are examining total mRNA populations in all developmental stages, both in whole worms and in specific cells and tissues. In addition, we are building promoter::GFP constructs to monitor gene expression in transgenic worms, focusing on C. elegans genes that have human orthologues. Also available are web-based PCR primer design tools, and access to information about our C. elegans Fosmid library.
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>>>!!!<<< caArray Retirement Announcement >>>!!!<<< The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) instance of the caArray database was retired on March 31st, 2015. All publicly-accessible caArray data and annotations will be archived and will remain available via FTP download https://wiki.nci.nih.gov/x/UYHeDQ and is also available at GEO http://www.ncbi.nlm.nih.gov/geo/ . >>>!!!<<< While NCI will not be able to provide technical support for the caArray software after the retirement, the source code is available on GitHub https://github.com/NCIP/caarray , and we encourage continued community development. Molecular Analysis of Brain Neoplasia (Rembrandt fine-00037) gene expression data has been loaded into ArrayExpress: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3073 >>>!!!<<< caArray is an open-source, web and programmatically accessible microarray data management system that supports the annotation of microarray data using MAGE-TAB and web-based forms. Data and annotations may be kept private to the owner, shared with user-defined collaboration groups, or made public. The NCI instance of caArray hosts many cancer-related public datasets available for download.
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We are a leading international centre for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.
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CEEHRC represents a multi-stage funding commitment by the Canadian Institutes of Health Research (CIHR) and multiple Canadian and international partners. The overall aim is to position Canada at the forefront of international efforts to translate new discoveries in the field of epigenetics into improved human health. The two sites will focus on sequencing human reference epigenomes and developing new technologies and protocols; they will also serve as platforms for other CEEHRC funding initiatives, such as catalyst and team grants.
The complementary reference epigenome mapping efforts of the two sites will focus on a range of common human diseases. The Vancouver group will focus on the role of epigenetics in the development of cancer, including lymphoma and cancers of the ovary, colon, breast, and thyroid. The Montreal team will focus on autoimmune / inflammatory, cardio-metabolic, and neuropsychiatric diseases, using studies of identical twins as well as animal models of human disease.
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The Canadian VirusSeq Data Portal (CVDP) is an open-access data portal funded by Genome Canada. It is intended to facilitate access to Canadian SARS-CoV-2 sequences and associated non-sensitive metadata adhering to the FAIR Data principles. Limited contextual metadata and viral genome sequences can be shared among Canadian public health labs, researchers and other groups interested in accessing the data for surveillance, research, and innovation purposes. The CVDP will harmonize, validate, and automate submission to international databases and enable the creation of real-time dashboards that summarize the Canadian data contributions while facilitating exploration and access. Sequences or metadata submitted to the CVDP may not include data that could reveal the personal identity of the source. Its is part of Canadian COVID Genomics Network (CanCOGeN).
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caNanoLab is a data sharing portal designed to facilitate information sharing in the biomedical nanotechnology research community to expedite and validate the use of nanotechnology in biomedicine. caNanoLab provides support for the annotation of nanomaterials with characterizations resulting from physico-chemical and in vitro assays and the sharing of these characterizations and associated nanotechnology protocols in a secure fashion.
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The Cancer Cell Line Encyclopedia project is a collaboration between the Broad Institute, and the Novartis Institutes for Biomedical Research and its Genomics Institute of the Novartis Research Foundation to conduct a detailed genetic and pharmacologic characterization of a large panel of human cancer models, to develop integrated computational analyses that link distinct pharmacologic vulnerabilities to genomic patterns and to translate cell line integrative genomics into cancer patient stratification. The CCLE provides public access to genomic data, analysis and visualization for about 1000 cell lines.
- Current projects
- EOSC FAIR-IMPACT
- re3data COREF
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To the extent possible under law,
re3data.org
has waived all copyright and related or neighboring rights to
the database entries of re3data.org.
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Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
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- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-24
