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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://sharedresources.fredhutch.org/core-facilities/cceh-administration
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July,27,2022. Core facility that provides scientific and budgetary oversight for all CCEH activities. This includes training programs, high school summer internships, and and pilot and feasibility program for new projects.
Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology (RRID:SCR_015320) Copy
http://snap-graph.sourceforge.net
SNAP (Small-world Network Analysis and Partitioning) is an extensible parallel framework for exploratory analysis and partitioning of large-scale networks. SNAP is implemented in C, uses OpenMP primitives for parallelization, and targets sequential, multicore, and symmetric multiprocessor platforms. Our intent with SNAP is to provide a simple and intuitive interface for network analysis and application design, hiding the parallel programming complexity from the user. In addition to path-based, centrality, and community identification queries on large-scale graphs, we support commonly-used preprocessing kernels and quantitative measures that help understand the global network topology. The latest version of SNAP (0.4) was released in August 2010. Sponsors: This work was supported in part by NSF Grants CAREER CCF-0611589, NSF DBI-0420513, ITR EF/BIO 03-31654, IBM Faculty Fellowship and Microsoft Research grants, NASA grant NP-2005-07-375-HQ, and DARPA Contract NBCH30390004. Keywords: network, analysis, software, graph, traversal, betweenness centrality, community, identification, multicore,
Proper citation: Small-world Network Analysis and Partitioning (RRID:SCR_013662) Copy
https://commonfund.nih.gov/metabolomics/index
A US national program which supoorts the development of technologies in order to enhance the metabolomics field. It specifically increases the national metabolomics research capacity by supporting five core programs: Training in Metabolomics, Metabolomics Technology Development, Metabolomics Reference Standard Synthesis, Metabolomics Data Sharing and International Collaboration, and Comprehensive Metabolomics Resource Cores.
Proper citation: NIH Metabolomics program (RRID:SCR_014634) Copy
https://github.com/MikkelSchubert/paleomix
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software toolkit for the processing of ancient and modern HTS data. PALEOMIX also aids in metagenomic analysis of the extracts from the HTS processing.
Proper citation: PALEOMIX (RRID:SCR_015057) Copy
http://surfer.nmr.mgh.harvard.edu/fswiki/Tracula
Software tool developed for automatically reconstructing a set of major white matter pathways in the brain from diffusion weighted images using probabilistic tractography. This method utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual intervention with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. The trac-all script is used to preprocess raw diffusion data (correcting for eddy current distortion and B0 field inhomogenities), register them to common spaces, model and reconstruct major white matter pathways (included in the atlas) without any manual intervention. trac-all may be used to execute all the above steps or parts of it depending on the dataset and user''''s preference for analyzing diffusion data. Alternatively, scripts exist to execute chunks of each processing pipeline, and individual commands may be run to execute a single processing step. To explore all the options in running trac-all please refer to the trac-all wiki. In order to use this script to reconstruct tracts in Diffusion images, all the subjects in the dataset must have Freesurfer Recons.
Proper citation: TRACULA (RRID:SCR_013152) Copy
http://www.nitrc.org/projects/biofilmquant/
A semi-automated software tool for dental plaque biofilm quantification in quantitative light-induced fluorescence (QLF) images.
Proper citation: BiofilmQuant (RRID:SCR_014088) Copy
http://www.nitrc.org/projects/atag_mri_scans/
Data sets from the atlasing of the basal ganglia (ATAG) consortium, which provides ultra-high resolution 7Tesla (T) magnetic resonance imaging (MRI) scans from young, middle-aged, and elderly participants. They include whole-brain and reduced field-of-view MP2RAGE and T2 scans with ultra-high resolution at a sub millimeter scale. The data can be used to develop new algorithms that help building new high-resolution atlases both in the basic and clinical neurosciences. They can also be used to inform the exact positioning of deep-brain electrodes relevant in patients with Parkinsons disease and neuropsychiatric diseases.
Proper citation: 7T Structural MRI scans ATAG (RRID:SCR_014084) Copy
http://sgdp.iop.kcl.ac.uk/opcrit/
The operational criteria OPCRIT checklist for psychotic and affective illness has been designed to facilitate a polydiagnostic approach to mental illness. The package is specifically for the needs of the researcher and is intended to be used by clinicians or investigators trained in clinical research. It is not recommended for use by raters without previous experience in psychopathology and psychiatric diagnosis. Click the Download link below to download Opcrit. This download is compressed zip file which will yield the actual installer files. Open WinopInstallerFiles.zip and when prompted extract the contents to a temporary location. One of the files extracted is Setup.exe. Run this setup file and follow the instructions to install the Opcrit. Depending on your system type and version of Windows, you may need to reboot your system once installation is complete. After installation, you will also need to download and run the installer for the october 2009 update (see below).
Proper citation: Operational Criteria (RRID:SCR_013359) Copy
http://pa.wishartlab.com/pa/pa/index.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Web-based tool that predicts subcellular localization and GO molecular function of proteins. Proteome Analyst has the ability to explain its predictions and gives users the ability to run a large set of tools on their proteins.
Proper citation: Proteome Analyst (RRID:SCR_013807) Copy
http://www.rhino3d.com/features
3D modeling software used to create, edit, analyze, document, render, animate, and translate surfaces, solids, point clouds, and polygon meshes. It can also be used to analyze and manufacture a variety of products.
Proper citation: Rhinoceros (RRID:SCR_014339) Copy
https://cran.r-project.org/web/packages/ibdreg/index.html
Software package in S-PLUS and R to test genetic linkage with covariates by regression methods with response IBD sharing for relative pairs. Account for correlations of IBD statistics and covariates for relative pairs within the same pedigree. (entry from Genetic Analysis Software)
Proper citation: IBDREG (RRID:SCR_013127) Copy
It is part of the Institute for Advanced Studies at The Australian National University (ANU). CBiS forms a bridge between two areas of major strength at ANU, mathematics and biological sciences. CBiS brings together researchers with backgrounds in mathematics, statistics and quantitative biology with the goal of developing a conceptual architecture for an information-based, integrative approach to complex biological systems. Software available for download or use is: * Pozitiv * GE Bi-Plot * Chip Stability * PyEvolve * Vestige Most software is freely available under the GPL or similar licenses. For details, see each individual package., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CBiS (RRID:SCR_013408) Copy
http://www.neuro.uestc.edu.cn/NIT.html
A toolkit for EEG-fMRI multimodal fusion and fMRI data preprocessing and analysis. NIT allows users to perform batch processing of fMRI data analysis and data preprocessing based on SPM8, as well as parallel computing for data preprocessing, nuisance signals removal, and FCD and FOCA calculating. Users can also use NIT to calculate functional connectivity density and four dimensional (spatio-temporal) consistency of local neural activities.
Proper citation: Neuroscience Information Toolbox (RRID:SCR_014501) Copy
https://www.ebi.ac.uk/intact/complex/#annotations:fIzBXhJPEeej78Pl6R0ScA
Database and encyclopaedic resource of macromolecular complexes found in key model organisms from scientific literature. Data includes protein-only complexes, protein-small molecules, and protein-nucleic acid complexes. The information within the portal is manually curated and available for download.
Proper citation: Complex Portal (RRID:SCR_015038) Copy
http://www.nitrc.org/projects/caworks
A software application developed to support computational anatomy and shape analysis. The capabilities of CAWorks include: interactive landmark placement to create segmentation (mask) of desired region of interest; specialized landmark placement plugins for subcortical structures such as hippocampus and amygdala; support for multiple Medical Imaging data formats, such as Nifti, Analyze, Freesurfer, DICOM and landmark data; Quadra Planar view visualization; and shape analysis plugin modules, such as Large Deformation Diffeomorphic Metric Mapping (LDDMM). Specific plugins are available for landmark placement of the hippocampus, amygdala and entorhinal cortex regions, as well as a browser plugin module for the Extensible Neuroimaging Archive Toolkit.
Proper citation: CAWorks (RRID:SCR_014185) Copy
http://asipro.software.informer.com/
An image analysis software.
Proper citation: ASIPro (RRID:SCR_014547) Copy
http://www.tissuegnostics.com/en/products/analysing-software/tissuequest
Image analysis software for cells and stained areas in samples stained with immunofluorescent markers.
Proper citation: TissueQuest Analysis Software (RRID:SCR_014822) Copy
https://dctd.cancer.gov/programs/cdp/organization/bbrb
BBRB supports medical discovery and precision medicine by providing leadership, tools, and resources to the biobanking community. Provides input on policy related to biobanking and supports the availability of biospecimens for research. Develops standardized procedures for biospecimen science and research; conducts and sponsors research on the effects of biospecimen preanalytical factors; leads and supports major scientific initiatives requiring high-quality biospecimens; and supports investigations into the ethical, legal, and social issues concerning biospecimen collection and use.
Proper citation: Biorepositories and Biospecimens Research Branch (RRID:SCR_013979) Copy
A research portal to share and obtain research data and journal articles openly accessible to all disciplines. Established to support the Open Access Policy, as set out by the ERC Scientific Council Guidelines for Open Access and the Open Access pilot launched by the European Commission.
Proper citation: OpenAIRE (RRID:SCR_013740) Copy
http://www.mcid.co.uk/Software/MCID_Analysis
Software designed to provide an image analysis software solution for offline analysis of images, ideally for the analysis of images where image capture is not required. Available applications for MCID Analysis include gel/blot analysis, fluorescence microscopy, and stereology.
Proper citation: MCID Analysis (RRID:SCR_014278) Copy
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