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http://www.mrmatlas.org/

Resource of targeted proteomics assays to detect and quantify proteins in complex proteome digests by mass spectrometry. Used to quantify the complete human proteome.

Proper citation: SRMAtlas (RRID:SCR_016996) Copy   

•   Source: SciCrunch Registry

http://proteomics.ucsd.edu/Software/NeuroPedia/index.html

A neuropeptide encyclopedia of peptide sequences (including genomic and taxonomic information) and spectral libraries of identified MS/MS spectra of homolog neuropeptides from multiple species.

Proper citation: NeuroPedia (RRID:SCR_001551) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/mouseportal/

Database of mouse research resources at Sanger: BACs, targeting vectors, targeted ES cells, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. The Wellcome Trust Sanger Institute generates, characterizes, and uses a variety of reagents for mouse genetics research. It also aims to facilitate the distribution of these resources to the external scientific community. Here, you will find unified access to the different resources available from the Institute or its collaborators. The resources include: 129S7 and C57BL6/J bacterial artificial chromosomes (BACs), MICER gene targeting vectors, knock-out first conditional-ready gene targeting vectors, embryonic stem (ES) cells with gene targeted mutations or with retroviral gene trap insertions, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen.

Proper citation: Sanger Mouse Resources Portal (RRID:SCR_006239) Copy   

•   Source: SciCrunch Registry

https://omictools.com/dog-picker-tool

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18,2023. Software tool for general particle picking in the single-particle processing of unknown macromolecules. Reference free particle picker with ability to sort particles based on size or it can be used to bootstrap the creation of templates or training datasets for other particle pickers. Used to facilitate particle selection in single particle electron microscopy., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DoG picker (RRID:SCR_016655) Copy   

•   Source: SciCrunch Registry

http://nt-salkoff.wustl.edu/portal/hgxpp001.aspx?2

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Supplies potassium channel cDNA clones in vectors suitable for functional expression and stocks of gene knockout strains. Supporting this resource base are studies showing the basic biophysical properties of the channels, studies showing the phenotypes of mutants, and information on the cell-type expression patterns of potassium channels. Studies of potassium channel cell-type expression patterns and functional properties; studies of behavioral phenotypes; generation of knockout mutants. Full-length cDNAs encoding C. elegans potassium channels in a vector suitable for functional expression in Xenopus oocytes and mammalian cell lines are available on request. Information is also provided describing the cell-type expression patterns and basic biophysical properties of potassium channels. And data on behavioral phenotypes are also available. C. elegans strains carrying knockouts of potassium channels are also generated and deposited at the C. elegans stock center at the University of Minnesota.

Proper citation: A Comprehensive Resource Base for C. elegans K+ Channels (RRID:SCR_008360) Copy   

•   Source: SciCrunch Registry

http://www.loni.usc.edu/Software/IO_Plugins

Decoders and encoders written in Java for the AFNI, ANALYZE, DICOM, ECAT, GE, MINC, NIFTI and other neuroimaging file formats.The plugins use Java Image I/O interfaces to read and write metadata and image data and can read and write AFNI, ANALYZE 7.5, DICOM, ECAT 7.2, GE 5.0, INTERFILE (including hrrt), MINC, NIFTI, and UCLA PACS file formats. All source code is provided and usage examples are included.

Proper citation: LONI Java Image I/O Plugins (RRID:SCR_008277) Copy   

•   Source: SciCrunch Registry

http://www.nhpreagents.org

Center that facilitates the optimal use of nonhuman primate models in biomedical research by identifying, developing, characterizing and producing reagents for monitoring or modulating immune responses. They distribute non-human primate-specific antibodies for in vitro diagnostics, as well as develop and produce primate recombinant antibodies for in vivo cell depletion or modulating immune responses.

Proper citation: Nonhuman Primate Reagent Resource (RRID:SCR_012986) Copy   

•   Source: SciCrunch Registry

http://www.nmr.mgh.harvard.edu/DOT/resources/homer2/home.htm

Software matlab scripts used for analyzing fNIRS data to obtain estimates and maps of brain activation. Graphical user interface (GUI) for visualization and analysis of functional near-infrared spectroscopy (fNIRS) data.

Proper citation: Homer2 (RRID:SCR_009586) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://doa.nubic.northwestern.edu/pages/search.php

Project portal for a collaborative database aiming to provide a comprehensive annotation to human genome.It uses the computable, controlled vocabulary of Disease Ontology (DO) and NCBI Gene Reference Into Function (GeneRIF).

Proper citation: DOAF (RRID:SCR_015666) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://omictools.com/tiltpicker-tool

Software tool to facilitate particle selection in single particle electron microscopy. An interactive graphical interface application designed to streamline the selection of particle pairs from tilted-pair datasets. Designed to work with existing software tools for image processing.

Proper citation: TiltPicker (RRID:SCR_016674) Copy   

•   Source: SciCrunch Registry

https://github.com/kstreet13/slingshot

Software R package for identifying and characterizing continuous developmental trajectories in single cell data. Cell lineage and pseudotime inference for single-cell transcriptomics.

Proper citation: Slingshot (RRID:SCR_017012) Copy   

•   Source: SciCrunch Registry

https://www.openanatomy.org/

Project aims to change anatomy atlas by building atlases through open data, community based collaborative development, and free distribution of medical knowledge. Provides access to several 2D and 3D browser based tools.

Proper citation: Open Anatomy Project (RRID:SCR_022141) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/oligo.html

Software R package to analyze oligonucleotide arrays at probe level. Supports Affymetrix (CEL files) and NimbleGen arrays (XYS files). Used for annotation of Affymetrix Gene Array data.

Proper citation: Preprocessing tools for oligonucleotide arrays (RRID:SCR_023726) Copy   

•   Source: SciCrunch Registry

http://www.bumc.bu.edu/msr/

Biomedical technology research center that conducts high-sensitivity structural determinations and analyses of biological compounds via mass spectrometry. The emphasis is on glycoconjugates, oligosaccharides and proteins.

Proper citation: BUSM Mass Spectrometry Resource (RRID:SCR_000823) Copy   

•   Source: SciCrunch Registry

http://www.biocurrents.org/

The BioCurrents Research Center (BRC) is an integrated technology resource of the NIH:NCRR. The activities of the Center focus on molecular physiology as it relates to the cell function and disease. Our particular interest is how the dynamics of cell responses are reflected in the chemical profiles of microdomains surrounding single living cells. In order to measure complex cellular boundary layers, the BRC has specialized in the development of extremely sensitive signal acquisition and processing methods along with miniaturized electrochemical sensor designs. The technique is non-invasive and termed self-referencing. Since its establishment in 1996, the BRC has directed its technological research and development to the design and application of ultra-microelectrodes (tip diameters of less than 10m) tailored for the detection of specific chemicals. These have been successfully applied to the boundary layer profiles of many different cell types, with thematic strength in diabetes research, reproductive health and development (see collaborative profiles). More recently, it is changing its focus to technical developments, enhancing the integrative approach to cell function. To understand a cell as a dynamic and integrated whole, BRC must be able to examine responses from different domains as near to real time and as synchronously as possible. To this end, it is developing imaging capabilities to work in parallel with electrochemistry and conventional electrophysiological techniques. Imaging includes a spinning disc confocal, as well as a low light/luminescent imager designed and built within the BRC. The technologies developed or under development are in high demand within the biomedical community. Over 40 investigators work with the Center each year in a collaborative or service capacity. Over 80 of our visitor pool is NIH funded, representing approximately 25 NIH divisions and institutes. As part of our training and dissemination program we host occasional workshops at major national and international meetings, train a significant number of new investigators each year and host graduate students undertaking portions of their thesis dissertation using our technologies. In dissemination we advise on, and install, electrochemical systems in off campus research endeavors, both academic and industrial.

Proper citation: BioCurrents Research Center (RRID:SCR_002020) Copy   

•   Source: SciCrunch Registry

http://nramm.scripps.edu/

Biomedical technology research center that develops, tests and applies technology aimed toward completely automating the processes involved in solving macromolecular structures using cryo-electron microscopy. The goal is to establish a resource that will serve both as a center for high-throughput molecular microscopy as well as for transferring this technique to the research community. Current Core Technology Research and Development is focused on 4 areas: improving grid substrates and specimen preparation; further automation and optimization of image acquisition; development of an integrated single particle analysis and processing pipeline; and the development of automated high throughput EM screening. NRAMM welcomes applications of both collaborative and service projects.

Proper citation: National Resource for Automated Molecular Microscopy (RRID:SCR_001448) Copy   

•   Source: SciCrunch Registry

http://www.acert.cornell.edu/

Biomedical technology research center that develops methods, both experimental and theoretical, of modern electron spin resonance (ESR) for biomedical applications. Center technologies are applicable to the determination of the structure and complex dynamics of proteins. Principal areas of expertise: * Pulsed Fourier Transform and Two Dimensional ESR * High Frequency-High Field (HFHF) ESR * High Resolution ESR Microscopy * Theory and Computational Methods for Modern ESR Activities include: * making resources available to the biomedical community, * publishing results, * running workshops on the new methodologies, * addressing the need to bring these new technologies to other laboratories.

Proper citation: National Biomedical Center for Advanced ESR Technology (RRID:SCR_001444) Copy   

•   Source: SciCrunch Registry

http://www.lfd.uci.edu/

Biomedical technology research center and training resource that develops novel fluorescence technologies, including instrumentation, methods and software applicable to cellular imaging and the elucidation of dynamic processes in cells. The LFD's main activities are: * Services and Resources: the LFD provides a state-of-the-art laboratory for fluorescence measurements, microscopy and spectroscopy, with technical assistance to visiting scientists. * Research and Development: the LFD designs, tests, and implements advances in the technology of hardware, software, and biomedical applications. * Training and Dissemination: the LFD disseminates knowledge of fluorescence spectroscopic principles, instrumentation, and applications to the scientific community.

Proper citation: Laboratory for Fluorescence Dynamics (RRID:SCR_001437) Copy   

•   Source: SciCrunch Registry