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http://www.imagescience.org/meijering/software/neuronj/

NeuronJ is an ImageJ plugin to facilitate the tracing and quantification of elongated structures in two-dimensional (2D) images (8-bit gray-scale and indexed color), in particular neurites in fluorescence microscopy images. Sponsors: The development of NeuronJ started while the primary developer ( Dr. Erik Meijering, PhD) was with the Biomedical Imaging Group (collaborating with people from the Laboratory of Cellular Neurobiology) of the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, and was finished while Dr. Meijering was with the Biomedical Imaging Group Rotterdam in the Netherlands.

Proper citation: NeuronJ: An ImageJ Plugin for Neurite Tracing and Quantification (RRID:SCR_002074) Copy   

•   Source: SciCrunch Registry

http://www.fged.org/

Society that develop standards for biological research data quality, annotation and exchange. They facilitate the creation and use of software tools that build on these standards and allow researchers to annotate and share their data easily. They promote scientific discovery that is driven by genome wide and other biological research data integration and meta-analysis. Historically, FGED began with a focus on microarrays and gene expression data. However, the scope of FGED now includes data generated using any technology when applied to genome-scale studies of gene expression, binding, modification and other related applications.

Proper citation: FGED (RRID:SCR_001897) Copy   

•   Source: SciCrunch Registry

http://www.genepaint.org/MapE15_5_01.htm

Abbreviated reference atlas for the Embryonic 15.5 post conception day mouse. All sections were nissl stained and digitized. To assist in the initial identification of sites of gene expression sites, maps of brains are available for E15.5, P7 and the adult. These maps depict the boundaries of major brain regions (cortex, thalamus, striatum, globus pallidus, ventral striatum, septum, basal forebrain, hippocampus, midbrain, pons, medulla, cerebellum) and also show the more prominent nerve tracts. Maps are most efficiently used by placing the window depicting the map of interest next to the gene expression image. Browsing between planes of sectioning is permitted thus allowing the most appropriate plane to be selected. The annotation of anatomical details such as brain nuclei is currently beyond the scope of the GenePaint database. Hence, such information on the anatomy of the brain and embryo should be obtained from published atlases of mouse anatomy (Kaufman, 1995; Paxinos and Franklin, 2001; Jacobowitz and Abbott, 1997; Schambra et al., 1992; Valverde1998).

Proper citation: GenePaint E15 Atlas (RRID:SCR_002786) Copy   

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https://www.cincinnatichildrens.org/research/cores/biobank

Provides access to services for standardized and centralized acquisition, processing, storage and distribution of biospecimens for research. Services include biospecimen storage, serum and plasma processing, preparation of kits for sample collection and shipping, automated DNA/RNA extraction from blood, saliva, tissue and other materials, biofluid collection, processing and storage, tissue collection, processing and storage.Home to Better Outcomes for Children (BofC) biorepository.

Proper citation: Cincinnati Biobank Core Facility (RRID:SCR_004281) Copy   

•   Source: SciCrunch Registry

http://rfmri.org/DPARSF

A MATLAB toolbox forpipeline data analysis of resting-state fMRI that is based on Statistical Parametric Mapping (SPM) and a plug-in software within DPABI. After the user arranges the Digital Imaging and Communications in Medicine (DICOM) files and click a few buttons to set parameters, DPARSF will then give all the preprocessed (slice timing, realign, normalize, smooth) data and results for functional connectivity, regional homogeneity, amplitude of low-frequency fluctuation (ALFF), fractional ALFF, degree centrality, voxel-mirrored homotopic connectivity (VMHC) results. DPARSF can also create a report for excluding subjects with excessive head motion and generate a set of pictures for easily checking the effect of normalization. In addition, users can also use DPARSF to extract time courses from regions of interest. DPARSF basic edition is very easy to use while DPARSF advanced edition (alias: DPARSFA) is much more flexible and powerful. DPARSFA can parallel the computation for each subject, and can be used to reorient images interactively or define regions of interest interactively. Users can skip or combine the processing steps in DPARSF advanced edition freely.

Proper citation: DPARSF (RRID:SCR_002372) Copy   

•   Source: SciCrunch Registry

http://niftyrec.scienceontheweb.net/

Software toolbox that includes reconstruction tools for emission and transmission imaging modalities, including Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), cone-beam X-Ray CT and parallel-beam X-Ray CT. At the core of NiftyRec are efficient, GPU accelerated, projection, back-projection and iterative reconstruction algorithms. The easy to use Matlab and Python interfaces of NiftyRec enable fast prototyping and development of reconstruction algorithms. NiftyRec includes standard iterative reconstruction algorithms such as Maximum Likelihood Expectation Maximisation (MLEM), Ordered Subsets Expectation Maximisation (OSEM) and One Step Late Maximum A Posteriori Expectation Maximisation (OSL-MAPEM), for multiple imaging modalities.

Proper citation: NiftyRec (RRID:SCR_002499) Copy   

•   Source: SciCrunch Registry

http://www.duke.edu/web/gpcr-assay/index.html

Describes data from and access to permanent cell lines containing beta-arrestin fluorescent protein biosensors. This assay Bank provides plasmids, cells lines, and resulting data to the NIDA/NIH funded research community in order to better understand and combat addiction.

Proper citation: Addiction Research GPCR Assay Bank (RRID:SCR_002895) Copy   

•   Source: SciCrunch Registry

http://icr.coh.org/

Group of 10 academic laboratories provide pancreatic islets of cGMP-quality to eligible investigators for use in FDA approved, IRB-approved transplantation protocols in which isolated human islets are transplanted into qualified patients afflicted with type 1 diabetes mellitus; optimize the harvest, purification, function, storage, and shipment of islets while developing tests that characterize the quality and predict the effectiveness of islets transplanted into patients with diabetes mellitus; and provide pancreatic islets for basic science studies. The centers are electronically linked through an Administrative and Bioinformatics Coordinating Center (ABCC). The ABCC manages a system with objectively defined criteria that establishes the order of priority for islet distribution. It also provides database and other informatics to track the utilization of pancreata and all distributed clinical grade islets for transplant and basic research, and supports the Islet Cell Resource Centers Consortium so that the research community has a single entry point to the program. Qualified researchers from domestic institutions may request islets by submitting a written application to the director of the ABCC. The ICRs will distribute Islets as appropriate for either clinical or basic science protocol use to eligible investigators who have received a favorable review and subsequent approval by the ICR Steering Committee (SC). The Administrative and Bioinformatics Coordinating Center (ABCC) manages the distribution according to a priority list. The ABCC will give preference to investigators who have peer-reviewed, NIH-funded research support.

Proper citation: Islet Cell Resource Centers (RRID:SCR_002806) Copy   

•   Source: SciCrunch Registry

http://www.plantcyc.org/

Collaborative project to bring together biochemical pathway databases and research communities focused on plant metabolism. Used to build broad network of plant metabolic pathway databases. Central feature of PMN is PlantCyc, comprehensive plant biochemical pathway database, containing curated information from literature and computational analyses about genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism.

Proper citation: Plant Metabolic Network (RRID:SCR_002888) Copy   

•   Source: SciCrunch Registry

http://www.crossref.org/fundref/

Funder Registry and associated funding metadata allows everyone to have transparency into research funding and its outcomes. Open registry of persistent identifiers for grant-giving organizations around the world.

Proper citation: FundRef (RRID:SCR_003218) Copy   

•   Source: SciCrunch Registry

http://www.ccmg-ccgm.org/

National voluntary specialty organization that serves its members, governments and public by Certifying individuals who provide medical genetics services, Establishing professional and ethical standards of medical genetics services, Establishing standards of medical genetics training, Providing professional and public education, Informing public policy.

Proper citation: Canadian College of Medical Geneticists (RRID:SCR_003013) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/HTqPCR.html

Software package for the analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).

Proper citation: HTqPCR (RRID:SCR_003375) Copy   

•   Source: SciCrunch Registry

http://www.immunospot.com

A Commercial tissue bank

Proper citation: Cellular Technology Ltd Cryopreserved PBMC (RRID:SCR_004346) Copy   

•   Source: SciCrunch Registry

http://www.ilc.cnr.it/indexflash.html

ILC-CNR has been one of the major promoters of the notion of language resources as the central component of the linguistic infrastructure (aware also of its cultural, economical and political implications), has coordinated the major initiatives relating to language resources and standardization and has often been the promoter of new paradigms in the field. ILC-CNR has coordinated numerous international, European and national strategic initiatives and projects. ILC-CNR has designed and built several types of corpora and lexicons and the respective ontologies, has developed a complete chain of tools for a robust processing of the Italian language, for the acquisition of information from corpora and for word-sense disambiguation and has developed technologies for several application domains (question answering, information retrieval, text mining, monolingual and multilingual terminology extraction, ontology acquisition and structuring, summarisation, filtering of Web documents, preservation of the cultural heritage through digital image processing and digital libraries techniques etc.). The research fields of the Institute are: Models and methods for natural language processing, and mono- and multilingual application prototypes. Design of international standards and development of computational language resources. Design and implementation of architectures and infrastructures for language resources and language technologies. Computational methods and tools for humanistic research, particularly in linguistic, literary, and philological disciplines, and in lexicography.

Proper citation: Institute of Computational Linguistics (RRID:SCR_004501) Copy   

•   Source: SciCrunch Registry

http://icatb.sourceforge.net/fusion/fusion_startup.php

A MATLAB toolbox which implements the joint Independent Component Analysis (ICA), parallel ICA and CCA with joint ICA methods. It is used to to extract the shared information across modalities like fMRI, EEG, sMRI and SNP data. * Environment: Win32 (MS Windows), Gnome, KDE * Operating System: MacOS, Windows, Linux * Programming Language: MATLAB * Supported Data Format: ANALYZE, NIfTI-1

Proper citation: Fusion ICA Toolbox (RRID:SCR_003494) Copy   

•   Source: SciCrunch Registry

http://www.enea.it/en/

Italian national agency for new technologies, energy and sustainable economic development with the following main research issues: * Energy Efficiency * Renewable Energy Sources * Nuclear Energy * Climate and the Environment * Safety and Health * New Technologies * Electric System Research The Agency''s activities are devoted to: * basic, mission-oriented, and industrial research exploiting wide-ranging expertise as well as experimental facilities, specialized laboratories, advanced equipment; * new technologies and advanced applications; * dissemination and transfer of research results, thus promoting their exploitation for production purposes; * provide public and private bodies with high-tech services, studies, measurements, tests and assessments; * training and information activities aimed at broadening sector expertise and public knowledge and awareness. The Agency''s multidisciplinary competences and great expertise in managing complex research projects are put at the disposal of the Country system.

Proper citation: ENEA (RRID:SCR_003929) Copy   

•   Source: SciCrunch Registry

http://mindboggle.info

Mindboggle (http://mindboggle.info) is open source software for analyzing the shapes of brain structures from human MRI data. The following publication in PLoS Computational Biology documents and evaluates the software: Klein A, Ghosh SS, Bao FS, Giard J, Hame Y, Stavsky E, Lee N, Rossa B, Reuter M, Neto EC, Keshavan A. (2017) Mindboggling morphometry of human brains. PLoS Computational Biology 13(3): e1005350. doi:10.1371/journal.pcbi.1005350

Proper citation: Mindboggle (RRID:SCR_002438) Copy   

•   Source: SciCrunch Registry

http://synapses.clm.utexas.edu/tools/reconstruct/reconstruct.stm

A Windows (Win32) software application for montaging, aligning, tracing, measuring, and reconstructing objects from serial microscopic section images. The software is designed for microscopy in which section resolution is much less than section thickness, such as transmitted electron microscopy (EM) where the resolution is a few nanometers while the section thickness is many tens of nanometers. Reconstruct can easily handle series with hundreds of very large, high-resolution section images. It facilitates image cropping, scaling and alignment. Multiple images can be placed side-by-side to make a montage of a section from a mosaic of images. The alignment of adjacent sections can be rapidly compared by either blending the two sections or by flickering between them. Sections can be moved while blended. Reconstruct aids in the calibration of image size. Images taken at different magnifications can be combined, calibrated and aligned. Tools for tracing and editing of objects on sections are provided. Objects can be surfaced from the traces and previewed in an OpenGL-based 3D scene window. The 3D scene can be saved as a bitmap or as a VRML file.

Proper citation: Synapse Web Reconstruct (RRID:SCR_002716) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/sri24/

An MRI-based atlas of normal adult human brain anatomy, generated by template-free nonrigid registration from images of 24 normal control subjects. The atlas comprises T1, T2, and PD weighted structural MRI, tissue probability maps (GM, WM, CSF), maximum-likelihood tissue segmentation, DTI-based measures (FA, MD, longitudinal and transversal diffusivity), and two labels maps of cortical regions and subcortical structures. The atlas is provided at 1mm isotropic image resolution in Analyze, NIFTI, and Nrrd format. We are also providing an experimental packaging for use with SPM8.

Proper citation: SRI24 Atlas: Normal Adult Brain Anatomy (RRID:SCR_002551) Copy   

•   Source: SciCrunch Registry

https://catalog.coriell.org/

A biorepository and biomaterial supply resource which establishes, verifies, maintains, and distributes cells, cultures and DNA derived from cell cultures to the scientific community around the world. Scientists can browse the sample catalog and request specific cell lines for their research studies. An inventory of the remaining stock of each cell line and DNA preparation is presented in real time. Coriell's significant cell biobank collections include: NIGMS Human Genetic Cell Repository, NINDS Human Genetics DNA and Cell Line Repository, NIA Aging Cell Repository, NHGRI Sample Repository for Human Genetic Research, NEI Age-Related Eye Disease Study (AREDS) Genetic Repository, HD Community BioRepository, American Diabetes Association, GENNID Study, and Autism Research Resource. The repositories are ISO 9000-2001 compliant.

Proper citation: Coriell Cell Repositories (RRID:SCR_003244) Copy   

•   Source: SciCrunch Registry