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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
http://harvester.fzk.de/harvester/
Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.
Proper citation: Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology (RRID:SCR_008017) Copy
https://github.com/ANGSD/ngsRelate
Software tool for estimating pairwise relatedness from next-generation sequencing data.
Proper citation: ngsRelate (RRID:SCR_016588) Copy
http://dsarm.niapublications.org/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 18, 2014.
A networking site for investigators using animal models to study aging, developed to provide a venue for sharing information about research models for aging studies. If you have tissue or data from animal models relevant to aging research that you are willing to share with other investigators, D-SARM allows you to identify the model and provides a secure, blinded email contact for investigators who would like to contact you about acquiring tissue or related resources. Investigators looking for resources from a particular model enter search terms describing the model of interest and then use the provided link to send emails to the contacts (names blinded) listed in the search results to initiate dialog about tissue or resources available for sharing. The database is housed on a secure server and admission to the network is moderated by the NIA Project Officer and limited to investigators at academic, government and non-profit research institutions. The goal is to provide a secure environment for sharing information about models used in aging research, promoting the sharing of resources, facilitating new research on aging in model systems, and increasing the return on the investment in research models.
Proper citation: Database for Sharing Aging Research Models (RRID:SCR_008691) Copy
Ensembl SARS-Cov2 data portal.
Proper citation: Ensembl Covid-19 (RRID:SCR_024704) Copy
https://cab.spbu.ru/software/spades/
Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SPAdes (RRID:SCR_000131) Copy
https://github.com/lkmklsmn/DrivAER
Software tool as method for identification of driving transcriptional programs based on AutoEncoder derived Relevance scores. Infers relevance scores for transcriptional programs with respect to specified outcomes of interest in single-cell RNA sequencing data, such as psuedotemporal ordering or disease status.Used for manifold interpretation in scRNA-seq data.
Proper citation: DrivAER (RRID:SCR_019076) Copy
https://github.com/sreeramkannan/Shannon
Software tool for de novo transcriptome assembly from RNA-Seq data.
Proper citation: Shannon (RRID:SCR_017037) Copy
https://github.com/neurostuff/NiMARE
Software Python package for coordinate and image based meta analysis of neuroimaging data.
Proper citation: NiMARE (RRID:SCR_017398) 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
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