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https://github.com/ccipd/MRQy

Software quality assurance and checking tool for quantitative assessment of magnetic resonance imaging and computed tomography data. Used for quality control of MR imaging data.

Proper citation: MRQy (RRID:SCR_025779) Copy   

•   Source: SciCrunch Registry

https://github.com/Washington-University/HCPpipelines

Software package as set of tools, primarily shell scripts, for processing multi-modal, high-quality MRI images for the Human Connectome Project. Minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space.

Proper citation: HCP Pipelines (RRID:SCR_026575) Copy   

•   Source: SciCrunch Registry

https://github.com/pyranges/ncls

Software library for nested containment list data structure for interval overlap queries, like interval tree. It is a static interval-tree that is fast for both construction and lookups.

Proper citation: Nested containment list (RRID:SCR_027849) Copy   

•   Source: SciCrunch Registry

https://omics.pnl.gov/software/ms-gf

Software that performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database.

Proper citation: MS-GF+ (RRID:SCR_015646) Copy   

•   Source: SciCrunch Registry

http://www.usc.edu/dept/biomed/UTRC/

Biomedical technology research center focusing on the development of very high frequency (above 20 MHz) ultrasonic transducers/arrays for applications in medicine and biology that include ophthalmology, dermatology, vascular surgery, and small animal imaging. The research is pursued simultaneously in three directions: novel piezoelectric materials, very high frequency single element transducers and linear arrays, and finite element modeling and material property measurements. The Center also serves the community through collaborative efforts with investigators having a research interest in high-frequency ultrasound imaging. In addition, it performs the function of training and information dissemination by offering conferences, seminars and specialized courses at the University of Southern California. The Center has set forth a number of goals which define its mission: * Conduct novel research and development of very high frequency (>20MHz) ultrasonic transducers, arrays and imaging applications * Collaborate with other academic institutions, non-profit organizations, and small businesses supported by the NIH to further the development of these high-frequency applications and provide the expertise in transducers necessary for project success * Serve as an educational center for training scientists and engineers interested in ultrasonic transducer technology One of the primary goals of the Center is to provide service to outside investigators and small business. Often an investigator or company has a specific application in mind but is without the expertise to develop the necessary ultrasonic device. Investigators at academic institutions, research institutes, or small businesses supported by NIH grants who have a need for medical ultrasound transducers and are interested in a collaborative effort should contact Dr. Hyung Ham Kim or Dr. K. Kirk Shung. Ultrasound transducers and components can be fabricated either completely by center personnel or in a joint effort with other investigators. In addition, collaborators are encouraged to visit the facility for additional training in fabrication and assembly.

Proper citation: Resource Center for Medical Ultrasonic Transducer Technology (RRID:SCR_001404) Copy   

•   Source: SciCrunch Registry

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

A filter which allows the Laplace-Beltrami operator to determine surface harmonics in terms of PointData at each vertex. It determines the requested N most significant harmonics of a surface.

Proper citation: Laplace Beltrami Filter on QuadEdge Meshes (RRID:SCR_014133) Copy   

•   Source: SciCrunch Registry

http://www.umc.edu/Administration/Centers_and_Institutes/Center_for_Psychiatric_Neuroscience/Core_Research_Resources.aspx

Core facility that provides access to psychiatrically characterized post-mortem brain specimens, state-of-the-art equipment, cutting-edge technologies and the technical advice of highly trained faculty members who serve as Core Directors. The sophisticated imaging systems and biotechnologically advanced molecular core resources are provided on a shared-use basis to CPN and UMMC researchers. The CPN Research Resources Cores include the Human Brain Collection Core, Animal Core, Imaging Core, Molecular Biology Core, and Information Technologies Core.

Proper citation: UMMC Center for Psychiatric Neuroscience Labs and Facilities (RRID:SCR_002688) Copy   

•   Source: SciCrunch Registry

http://www.nbcr.net/

Biomedical technology research center that conducts, catalyzes and enables multiscale biomedical research, focusing on four key activities: 1) integrating computational, data and visualization resources in a transparent, advanced grid environment to enable better access to distributed data, computational resources, instruments and people; 2) developing and deploying advanced computational tools for modeling and simulation, data analysis, query and integration, three-dimensional image processing and interactive visualization; 3) delivering and supporting advanced grid/cyberinfrastructure for biomedical researchers; and 4) training a cadre of new researchers to have an interdisciplinary, working knowledge of computational technology relevant to biomedical scientists. NBCR enables biomedical scientists to address the challenge of integrating detailed structural measurements from diverse scales of biological organization that range from molecules to organ systems in order to gain quantitative understanding of biological function and phenotypes. Predictive multi-scale models and their driving biological research problems together address issues in modeling of sub-cellular biophysics, building molecular modeling tools to accelerate discovery, and defining tools for patient-specific multi-scale modeling. NBCR furthers these driving problems by developing tools and models based on rapid advances in mathematics and information technology, incorporating them into NBCR pipelines or problem solving environments, and addressing the inevitable changes in the underlying cyber-infrastructure technologies and continually adapting codes over time. Their technology focus integrates both the biological applications and the underlying support software into reproducible science workflows that can function across a number of physical infrastructures.

Proper citation: National Biomedical Computation Resource (RRID:SCR_002656) Copy   

•   Source: SciCrunch Registry

http://ncmir.ucsd.edu/

Biomedical technology research center that develops computer-aided, advanced microscopy for the acquisition of structural and functional data in the dimensional range of 1 nm to 100 um, a range encompassing macromolecules, subcellular structures and cells. Novel specimen-staining methods, imaging instrumentsincluding intermediate high-voltage transmission electron microscopes (IVEMs) and high-speed, large-format laser-scanning light microscopesand computational capabilities are available for addressing mesoscale biological microscopy of proteins and macromolecular complexes in their cellular and tissue environments. These technologies are developed to bridge understanding of biological systems between the gross anatomical and molecular scales and to make these technologies broadly available to biomedical researchers. NCMIR provides expertise, infrastructure, technological development, and an environment in which new information about the 3D ultrastructure of tissues, cells, and macromolecular complexes may be accurately and easily obtained and analyzed. NCMIR fulfills its mission through technology development, collaboration, service, training, and dissemination. It aims to develop preparative methods and analytical approaches to 3D microscopy applicable to neurobiology and cell biology, incorporating equipment and implementing software that expand the analysis of 3D structure. The core research activities in the areas of specimen development, instrument development, and software infrastructures maximize the advantages of higher voltage electron microscopy and correlated light microscopies to make ambitious imaging studies across scales routine, and to facilitate the use of resources by biomedical researchers. NCMIR actively recruits outside users who will not only make use of these resources, but who also will drive technology development and receive training.

Proper citation: National Center for Microscopy and Imaging Research (RRID:SCR_002655) Copy   

•   Source: SciCrunch Registry

https://www.bio.aps.anl.gov/

Biomedical technology research center and training resource for the study of the structure of partially ordered biological molecules, complexes of biomolecules and cellular structures under conditions similar to those present in living cells and tissues. The goal of research at BioCAT is to determine the detailed structure and mechanism of action of biological systems at the molecular level. The techniques used are X-ray fiber diffraction, X-ray solution scattering and X-ray micro-emission and micro-absorption spectroscopy, with an emphasis on time-resolved studies and the development of novel techniques.

Proper citation: BioCAT (RRID:SCR_001440) Copy   

•   Source: SciCrunch Registry

http://www.mri-resource.kennedykrieger.org/

Biomedical technology research center that provides expertise for the design of quantitative magnetic resonance imaging (MRI) and spectroscopy (MRS) data acquisition and processing technologies that facilitate the biomedical research of a large community of clinicians and neuroscientists in Maryland and throughout the USA. These methods allow noninvasive assessment of changes in brain anatomy as well as in tissue metabolite levels, physiology, and brain functioning while the brain is changing size during early development and during neurodegeneration, i.e. the changing brain throughout the life span. The Kirby Center has 3 Tesla and 7 Tesla state of the art scanners equipped with parallel imaging (8, 16, and 32-channel receive coils) and multi-transmit capabilities. CIS has an IBM supercomputer that is part of a national supercomputing infrastructure. Resources fall into the following categories: * MRI facilities, image acquisition, and processing * Computing facilities and image analysis * Novel statistical methods for functional brain imaging * Translating laboratory discoveries to patient treatment

Proper citation: National Resource for Quantitative Functional MRI (RRID:SCR_006716) Copy   

•   Source: SciCrunch Registry

http://msf.ucsf.edu/

Provides high-performance tandem mass spectrometry and proteomics, including multiplexed quantitative comparative analysis of protein and post-translational modifications, and a suite of tools for the analysis of mass spectrometry proteomics data. It provides both scientific and technical expertise and state-of-the-art high-performance, tandem mass spectrometric instrumentation. The facility also provides a service for small molecule analysis. Significant instrumentation in the facility includes three QSTAR quadrupole orthogonal time of flight instruments, and both an LTQ-Orbitrap platform with electron transfer dissociation (ETD) and an LTQ-FT linear ion trap FT-ICR instrument equipped with the ability to perform electron capture dissociation (ECD). The Center also has a 4700 Proteomic Analyzer MALDI tandem time of flight instrument; as well as a QTRAP 5500 hybrid triple quadrupole linear ion trap instrument; and a Thermo Fisher LTQ Orbitrap Velos. Major research focuses within the Center are the analysis of post-translational modifications, including phosphorylation and O-GlcNAcylation and development of methods for quantitative comparative analysis of protein and post-translational modification levels. The program also continues to develop one of the leading suites of tools for analysis of mass spectrometry proteomics data, Protein Prospector. The current web-based release allows unrestricted searching of MS and MSMS data, as well as the ability to perform comparative quantitative analysis of samples using isotopic-labeling reagents. It is the only freely-available web-based resource that allows this type of analysis.

Proper citation: National Bio-Organic Biomedical Mass Spectrometry Resource Center (RRID:SCR_009004) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.ucla.edu/ASAP2

THIS RESOURCE IS NO LONGER IN SERVICE, documented on 8/12/13. An expanded version of the Alternative Splicing Annotation Project (ASAP) database with a new interface and integration of comparative features using UCSC BLASTZ multiple alignments. It supports 9 vertebrate species, 4 insects, and nematodes, and provides with extensive alternative splicing analysis and their splicing variants. As for human alternative splicing data, newly added EST libraries were classified and included into previous tissue and cancer classification, and lists of tissue and cancer (normal) specific alternatively spliced genes are re-calculated and updated. They have created a novel orthologous exon and intron databases and their splice variants based on multiple alignment among several species. These orthologous exon and intron database can give more comprehensive homologous gene information than protein similarity based method. Furthermore, splice junction and exon identity among species can be valuable resources to elucidate species-specific genes. ASAP II database can be easily integrated with pygr (unpublished, the Python Graph Database Framework for Bioinformatics) and its powerful features such as graph query, multi-genome alignment query and etc. ASAP II can be searched by several different criteria such as gene symbol, gene name and ID (UniGene, GenBank etc.). The web interface provides 7 different kinds of views: (I) user query, UniGene annotation, orthologous genes and genome browsers; (II) genome alignment; (III) exons and orthologous exons; (IV) introns and orthologous introns; (V) alternative splicing; (IV) isoform and protein sequences; (VII) tissue and cancer vs. normal specificity. ASAP II shows genome alignments of isoforms, exons, and introns in UCSC-like genome browser. All alternative splicing relationships with supporting evidence information, types of alternative splicing patterns, and inclusion rate for skipped exons are listed in separate tables. Users can also search human data for tissue- and cancer-specific splice forms at the bottom of the gene summary page. The p-values for tissue-specificity as log-odds (LOD) scores, and highlight the results for LOD >= 3 and at least 3 EST sequences are all also reported.

Proper citation: Alternative Splicing Annotation Project II Database (RRID:SCR_000322) Copy   

•   Source: SciCrunch Registry

http://www.primate.wisc.edu/

Research center aimed towards increasing understanding of basic primate biology and improving human health and quality of life. Its goals include helping discover treatments, preventative measures and cures for human disease; gathering knowledge of primate biology and ecosystems; providing resources to scientists world wide; and collecting and disseminating research to the larger scientific community and public.

Proper citation: Wisconsin National Primate Research Center (RRID:SCR_012987) Copy   

•   Source: SciCrunch Registry

https://skyline.gs.washington.edu/labkey/project/home/software/Skyline/begin.view

Software tool as Windows client application for targeted proteomics method creation and quantitative data analysis. Open source document editor for creating and analyzing targeted proteomics experiments. Used for large scale quantitative mass spectrometry studies in life sciences.

Proper citation: Skyline (RRID:SCR_014080) Copy   

•   Source: SciCrunch Registry

http://www.ncrr.nih.gov/comparative_medicine/resource_directory/primates.asp

THIS RESOURCE IS NO LONGER IN SERVICE, documented on October 16, 2013. NCRR has been absorbed into other parts of the National Institutes of Health. This organizational structure is no longer available. Provides laboratory scientists and clinical researchers with the resources and tools they need to understand, detect, treat and prevent a wide range of diseases. Animal models, such as nonhuman primates, are a critical component of biomedical research, having profound implications for public health. Scientists depend on laboratory animals and other nonhuman models for investigating biological processes, studying the causes of diseases and testing promising new therapies. Nonhuman primates, in particular, are important for translational research because of their close physiological similarities to humans. They enable discoveries that have direct application to human studies, bridging the gap between basic science and human medicine. Discoveries in animal models are helping scientists test treatments for human conditions such as drug addiction, obesity, malaria, HIV/AIDS and neurodegenerative diseases, accelerating the pace at which these research advances can be translated into treatments for patients. Through its Division of Comparative Medicine, NCRR offers a wide variety of primate resources for NIH-funded scientists across the nation. Additionally, funding opportunities are available to National Primate Research Centers. Eight National Primate Research Centers (NPRCs) located throughout the country provide animals, facilities and expertise in all aspects of nonhuman primate biology and husbandry. These facilities and resources enable collaborative research among NPRC staff scientists, investigators from the NPRC host institution and other NIH-funded researchers. Major areas of research benefiting from the primate centers include AIDS, avian flu, Alzheimer''s disease, Parkinson''s disease, diabetes, asthma and endo-metriosis. The centers????????????????? specialized resources are intended to support investigators who receive their primary research project funding from NIH, but they also may be used by investigators who are funded by other federal, state and local agencies, as well as by research foundations and the private sector. Together the primate centers have more than 28,000 nonhuman primates of 20 different species. This portal covers the following topics: * National Primate Research Centers * Monkey Research Resources * Chimpanzee Research Resources * Chimpanzee Management Program * Specific-Pathogen-Free Macaque Resources * Nonhuman Primate Research Reagents

Proper citation: National Center for Research Resources - Primate Resources (RRID:SCR_006863) Copy   

•   Source: SciCrunch Registry

http://brainatlas.mbi.ufl.edu/Database/

Comprehensive three-dimensional digital atlas database of the C57BL/6J mouse brain based on magnetic resonance microscopy images acquired on a 17.6-T superconducting magnet. This database consists of: Individual MRI images of mouse brains; three types of atlases: individual atlases, minimum deformation atlases and probabilistic atlases; the associated quantitative structural information, such as structural volumes and surface areas. Quantitative group information, such as variations in structural volume, surface area, magnetic resonance microscopy image intensity and local geometry, have been computed and stored as an integral part of the database. The database augments ongoing efforts with other high priority strains as defined by the Mouse Phenome Database focused on providing a quantitative framework for accurate mapping of functional, genetic and protein expression patterns acquired by a myriad of technologies and imaging modalities. You must register First (Mandatory) and then you may Download Images and Data.

Proper citation: MRM NeAt (Neurological Atlas) Mouse Brain Database (RRID:SCR_007053) Copy   

•   Source: SciCrunch Registry

http://ncmir.ucsd.edu/downloads/manual_align_rts2000.shtm

Software program to adjust the alignment of two adjacent images. Allows to correct for any misalignment that may occur during auto-alignment step. Serves as a bootstrap to get the images in approximately the right place.

Proper citation: Manual Align RTS2000 (RRID:SCR_007107) Copy   

•   Source: SciCrunch Registry

http://www.birncommunity.org/collaborators/function-birn/

The FBIRN Federated Informatics Research Environment (FIRE) includes tools and methods for multi-site functional neuroimaging. This includes resources for data collection, storage, sharing and management, tracking, and analysis of large fMRI datasets. fBIRN is a national initiative to advance biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools, strategies and advisory services - all from a single source.

Proper citation: Function BIRN (RRID:SCR_007291) Copy   

•   Source: SciCrunch Registry

http://www.nbirn.net/research/bcc/index.shtm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on September 06, 2013. It was established to develop, implement and support the information infrastructure necessary to achieve large-scale data sharing among the test bed participants (function, morphometry and mouse birn). The BIRN-CC consists of a unique and well-established partnership between computer scientists, neuroscientists and engineers. This partnership addresses a large array of technical, policy, and architectural issues to fundamentally enable a new suite of information technology supported database and analysis tools that allow scientists to analyze and interpret significantly larger sets of data than is possible in the traditional single-institution study paradigm.

Proper citation: BIRN Coordinating Center (RRID:SCR_007290) Copy   

•   Source: SciCrunch Registry