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https://github.com/clinwiki-org/clinwiki
Clinical trials database.
Proper citation: ClinWiki (RRID:SCR_021297) Copy
Network of healthcare organizations, together with data partners in Brazil, South Korea, and Japan, to bring clinical facts on more than 250 million patients around the world. Federated model so users of this data are ensured new patients, observations, and results every day, all harmonized to standard terminology like ICD-10 and LOINC without any data wrangling required at the point of care. The raw data is not available to authors of papers and papers in medicine are being retracted.
Proper citation: trinetx (RRID:SCR_022760) 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
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://promoter.bx.psu.edu/hi-c/
Genome Browser for study of 3D genome organization and gene regulation and data visualization. Used to visualizing chromatin interaction data, browse other omics data such as ChIP-Seq or RNA-Seq for same genomic region, and gain complete view of both regulatory landscape and 3D genome structure for any given gene., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: 3D Genome (RRID:SCR_017525) Copy
https://www.ncbi.nlm.nih.gov/pubmed/17539361
Study of twins and their families provides tool for disentangling genetic and environmental origins of traits. Study collected behavioral and psychopathological information using self-, parent and teacher reports, and focused on contributions of genetic and environmental risk factors to psychological health of young people.
Proper citation: Cardiff Study of all Wales and North West of England Twins (RRID:SCR_017480) Copy
https://www.selectscience.net/products/gel-logic-212-pro/?prodID=83511#tab-2
Automated gel imaging system for imaging fluorescence or colorimetric data in sample formats such as gels (DNA/Coomassie/Silver stain) membranes, and 96 well plates. Features include autofocusing and directed autoexposure.
Proper citation: Carestream Gel Logic 212 PRO Imaging System (RRID:SCR_018029) Copy
https://bionanogenomics.com/wp-content/uploads/2017/01/30047-Irys-User-Guide.pdf
System by BioNano Genomics ( formerly BioNanomatrix) which provides optical next generation mapping (NGM). Used for sequence assembly and structural variation analysis. Provides Scaffold Bionano genome mapping data with sequencing data to improve assembly contiguity, reduce sequencing coverage needed, and automatically correct errors in sequencing based assemblies.
Proper citation: BioNano Irys system (RRID:SCR_016754) Copy
https://www.scanco.ch/microct100.html
Micro Computed Tomography 100 scanner for 3D imaging of specimens in vitro supplied with software for scanning, 3D analysis, visualization, image management and data import and export by SCANCO Medical AG.
Proper citation: SCANCO Medical microCT 100 system (RRID:SCR_017119) Copy
Searchable table of datasets. Data generated from projects through BRAIN Initiative Cell Census Network. Datasets can be filtered by species, research investigator, grant number or experimental technique. Includes links to data directories at data archives and links to protocols.
Proper citation: BICCN Cell Registry (RRID:SCR_017267) Copy
https://github.com/ttrogers/DecodingDynamic
Data, code, and notebooks for replicating analyses reported in Rogers et al., Evidence for deep, distributed and dynamic semantic code in human ventral anterior temporal cortex.
Proper citation: DecodingDynamic (RRID:SCR_021099) Copy
https://git.integromics.fr/published/predomics
Software package for metagenomics data. Discovers accurate predictive signatures and provides unprecedented interpretability. Package contains three methods for suppervised learning based on ternary coefficients. Used to discover classification models for quantitative metagenomics data.
Proper citation: Predomics (RRID:SCR_017415) 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
https://pynwb.readthedocs.io/en/latest/
Software Python package for working with Neurodata stored in Neurodata Without Borders files. Software providing API allowing users to read and create NWB formatted HDF5 files. Developed in support to NWB project with aim of spreading standardized data format for cellular based neurophysiology information.
Proper citation: PyNWB (RRID:SCR_017452) Copy
https://github.com/BioDepot/nbdocker
Software tool as Jupyter Notebook extension for Docker. Each Docker container encapsulates its individual computing environment to allow different programming languages and computing environments to be included in one single notebook, provides user to document code as well as computing environment.
Proper citation: nbdocker (RRID:SCR_017159) Copy
http://www.neuroconstruct.org/
Software for simulating complex networks of biologically realistic neurons, i.e. models incorporating dendritic morphologies and realistic cell membrane conductance, implemented in Java and generates script files for the NEURON and GENESIS simulators, with support for other simulation platforms (including PSICS and PyNN) in development. neuroConstruct is being developed in the Silver Lab in the Department of Neuroscience, Physiology and Pharmacology at UCL and uses the latest NeuroML specifications, including MorphML, ChannelML and NetworkML. Some of the key features of neuroConstruct are: Creation of networks of biologically realistic neurons, positioned in 3D space. Complex connectivity patterns between cell groups can be specified for the networks. Can import morphology files in GENESIS, NEURON, Neurolucida, SWC and MorphML format for inclusion in network models. Simulations can be run on the NEURON or GENESIS platforms. Cellular processes (synapses/channel mechanisms) can be imported from native script files or created in ChannelML. Recording of simulation data generated by the simulation and visualization/analysis of data. Stored simulation runs can be viewed and managed through the Simulation Browser interface.
Proper citation: neuroConstruct (RRID:SCR_007197) Copy
http://cardiogenomica.altervista.org/CARDIOGENOMICS/CardioGenomics%20Homepage.htm
The primary goal of the CardioGenomics PGA is to begin to link genes to structure, function, dysfunction and structural abnormalities of the cardiovascular system caused by clinically relevant genetic and environmental stimuli. The principal biological theme to be pursued is how the transcriptional network of the cardiovascular system responds to genetic and environmental stresses to maintain normal function and structure, and how this network is altered in disease. This PGA will generate a high quality, comprehensive data set for the functional genomics of structural and functional adaptation of the cardiovascular system by integrating expression data from animal models and human tissue samples, mutation screening of candidate genes in patients, and DNA polymorphisms in a well characterized general population. Such a data set will serve as a benchmark for future basic, clinical, and pharmacogenomic studies. Training and education are also a key focus of the CardioGenomics PGA. In addition to ongoing journal clubs and seminars, the PGA will be sponsoring symposia at major conferences, and developing workshops related to the areas of focus of this PGA. Information regarding upcoming events can be found in the Events section of this site, and information about training and education opportunities sponsored by CardioGenomics can be found on the Teaching and Education page. The CardioGenomics project came to a close in 2005. This server, cardiogenomics.med.harvard.edu, remains online in order to continue to distribute data that was generated by investigators under the auspices of the CardioGenomics Program for Genomic Applications (PGA). :Sponsors: This resource is supported by The National Heart, Lung and Blood Institute (NHLBI) of the NIH., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CardioGenomics (RRID:SCR_007248) 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://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
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