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http://www.informatics.jax.org/home/strain
MGI integrates comparative data on inbred strain characteristics including SNPs, polymorphisms, and quantitative phenotypes.
Proper citation: Strains, SNPs and Polymorphisms (RRID:SCR_017518) Copy
https://epigenie.com/epigenetic-tools-and-databases/
Collection of epigenetic data browsers and repositories. Repository of epigenetics tools and databases by EpiGenie team.
Proper citation: Epigenie (RRID:SCR_017494) Copy
http://old.iss.it/gemelli/index.php?lang=1
Portal with information about twins in Italy.
Proper citation: Italian Twin Registry (RRID:SCR_017476) Copy
https://bio.tools/Data_Information_System_DAISY
Open source web application that allows biomedical research institutions to map their data and data flows in accordance with GDPR's accountability requirement.
Proper citation: Data Information System - DAISY (RRID:SCR_017472) Copy
https://github.com/esctrionsit/snphub
Web Shiny-based server framework for retrieving, analyzing and visualizing large genomic variations data.
Proper citation: SnpHub (RRID:SCR_018177) Copy
Independent, non-profit organization that has developed global data-sharing and analytics platform to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through creation and implementation of sustainable global data-sharing enterprise. Our focus is on sharing individual participant-level data from completed clinical trials. Users can search listed studies, request data sets from data contributors, aggregate data, or share data of their own. Vivli (Center for Clinical Research Data) is launching a portal to share participant-level data from COVID trials.
Proper citation: Vivli (RRID:SCR_018080) Copy
This page contains the Influenza Surveillance Report during 2008-2009 Influenza Season Week 15, ending April 18, 2009.
Proper citation: FluView: A Weekly Influenza Surveillance Report (RRID:SCR_001118) Copy
http://sleep.alleninstitute.org
Collection of gene expression data in mouse brain for five different conditions of sleep and wakefulness to understand sleep deprivation and dynamic changes underlying sleep and wake cycles. Platform to generate cellular resolution expression data.
Proper citation: Allen Institute for Brain Science Sleep Study (RRID:SCR_002983) Copy
XSEDE is a single virtual system that scientists can use to interactively share computing resources, data and expertise. People around the world use these resources and services things like supercomputers, collections of data and new tools to improve our planet. XSEDE resources may be broadly categorized as follows: High Performance Computing, High Throughput Computing, Visualization, Storage, and Data Services. Many resources provide overlapping functionality across categories. Scientists, engineers, social scientists, and humanists around the world - many of them at colleges and universities - use advanced digital resources and services every day. Things like supercomputers, collections of data, and new tools are critical to the success of those researchers, who use them to make our lives healthier, safer, and better. XSEDE integrates these resources and services, makes them easier to use, and helps more people use them. XSEDE supports 16 supercomputers and high-end visualization and data analysis resources across the country. Digital services, meanwhile, provide users with seamless integration to NSF''s high-performance computing and data resources. XSEDE''s integrated, comprehensive suite of advanced digital services will federate with other high-end facilities and with campus-based resources, serving as the foundation for a national cyberinfrastructure ecosystem. Common authentication and trust mechanisms, global namespace and filesystems, remote job submission and monitoring, and file transfer services are examples of XSEDE''s advanced digital services. XSEDE''s standards-based architecture allows open development for future digital services and enhancements. XSEDE also provides the expertise to ensure that researchers can make the most of the supercomputers and tools.
Proper citation: XSEDE - Extreme Science and Engineering Discovery Environment (RRID:SCR_006091) Copy
http://connectivity.brain-map.org/
Map of neural connections in mouse brain, built on an array of transgenic mice genetically engineered to target specific cell types. In addition to the connectivity data, information about the transgenic mouse lines and genetic tracers is available. Consists of high resolution 2-D projectivity image data that can be viewed side-by-side with the associated reference atlas and other reference datasets. Enables 3-D visualization and spatial/ontological search of connectivity models through a combination of manual and informatics analyses.
Proper citation: Allen Mouse Brain Connectivity Atlas (RRID:SCR_008848) Copy
http://connectivity.brain-map.org/transgenic
Data detailing transgene expression in Cre and other driver lines for adult and developing brain. Experiments include colorimetric in situ hybridization, fluorescent in situ hybridization and other histological methods. Expression maps of transgenic Cre and other driver lines in mice.
Proper citation: Allen Brain Atlas expression map of Cre and other drivers (RRID:SCR_017510) Copy
Project whose goal is to provide Data Environments to the biomedical community. The Data Biosphere works to create a user experience around key modular components — each having discrete capabilities and clear rules of interaction, and each served by multiple alternative implementations.
Proper citation: Data Biosphere (RRID:SCR_016154) Copy
https://scienceofbehaviorchange.org/about/
Repository for behavioral science measures that have been validated or are in process of being validated in accordance with SOBC Experimental Medicine Approach.
Proper citation: Science of Behavior Change Research Network (RRID:SCR_017385) Copy
https://community.brain-map.org/t/allen-human-reference-atlas-3d-2020-new/405
Parcellation of adult human brain in 3D, labeling every voxel with brain structure spanning 141 structures. These parcellations were drawn and adapted from prior 2D version of adult human brain atlas.
Proper citation: Allen Human Reference Atlas, 3D, 2020 (RRID:SCR_017764) Copy
https://kona.nhgri.nih.gov/mnemiopsis/
Portal to obtain genomic information on Mnemiopsis. Data available provide annotations and other key biological information not available elsewhere. Used to advance research projects aimed at understanding phylogenetic diversity and evolution of proteins that play fundamental role in metazoan development. Collection of sequenced, assembled, annotated, and performed preliminary analysis of genome of Mnemiopsis.
Proper citation: Mnemiopsis Genome Project Portal (RRID:SCR_018293) Copy
Portal for Twins Research Australia. Brings twins and researchers together for vital health research in twins.
Proper citation: Twins Research Australia (RRID:SCR_017485) Copy
https://www.nitrc.org/search/?type_of_search=group&q=wisconsin&sa.x=0&sa.y=0&sa=Search
Atlases enable alignment of individual scans to improve localization and statistical power of results, and allow comparison of results between studies and institutions. Set of multi subject atlas templates is constructed specifically for functional and structural imaging studies of rhesus macaque.
Proper citation: Rhesus Macaque Brain Atlases (RRID:SCR_017533) Copy
Portal as central source of Australian open government data. Used to find, explore and reuse Australia public data. Anyone can access the anonymised public data published by federal, state and local government agencies, publicly funded research data and datasets from private institutions that are in public interest.
Proper citation: Australian Government Data Portal (RRID:SCR_019159) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/jmosaics.html
R software that detects enriched regions of ChIP-seq data sets jointly.
Proper citation: Jmosaics (RRID:SCR_001094) Copy
http://www.farsight-toolkit.org/wiki/FARSIGHT_Toolkit
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules.
Proper citation: Farsight Toolkit (RRID:SCR_001728) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
