Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

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.

Search

Type in a keyword to search

On page 222 showing 4421 ~ 4440 out of 16,813 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_008317

    This resource has 100+ mentions.

http://www.uv.es/vista/vistavalencia/

The general goal is to achieve a deeper understanding of natural image statistics because from this knowledge it should be possible to explain the behavior of the visual cortex and propose new alternatives in a number of applications in image processing and computer vision in which the basic problem is the choice of an appropriate signal representation. The range of basic and applied topics in which we are currently working include: * Mathematical models of human vision * Statistical image models * Image distortion metrics * Image coding * Motion estimation * Video coding * Image restoration * Color representation

Proper citation: Visual Statistics Group (RRID:SCR_008317) Copy   


  • RRID:SCR_009803

    This resource has 1000+ mentions.

http://subread.sourceforge.net/

Software package for high-performance read alignment, quantification and mutation discovery.General purpose read aligner which can be used to map both genomic DNA-seq reads and RNA-seq reads. Subread aligner as fast, accurate and scalable read mapping by seed-and-vote.These programs were also implemented in Bioconductor R package Rsubread.

Proper citation: Subread (RRID:SCR_009803) Copy   


  • RRID:SCR_008954

    This resource has 100+ mentions.

http://www.ini.uzh.ch/~acardona/trakem2.html

An ImageJ plugin for morphological data mining, three-dimensional modeling and image stitching, registration, editing and annotation. Two independent modalities exist: either XML-based projects, working directly with the file system, or database-based projects, working on top of a local or remote PostgreSQL database. What can you do with it? * Semantic segmentation editor: order segmentations in tree hierarchies, whose template is exportable for reuse in other, comparable projects. * Model, visualize and export 3D. * Work from your laptop on your huge, remote image storage. * Work with an endless number of images, limited only by the hard drive capacity. Dozens of formats supported thanks to LOCI Bioformats and ImageJ. * Import stacks and even entire grids (montages) of images, automatically stitch them together and homogenize their histograms for best montaging quality. * Add layers conveniently. A layer represents, for example, one 50 nm section (for TEM) or a confocal section. Each layer has its own Z coordinate and thickness, and contains images, labels, areas, nodes of 3d skeletons, profiles... * Insert layer sets into layers: so your electron microscopy serial sections can live inside your optical microscopy sections. * Run any ImageJ plugin on any image. * Measure everything: areas, volumes, pixel intensities, etc. using both built-in data structures and segmentation types, and standard ImageJ ROIs. And with double dissectors! * Visualize RGB color channels changing the opacity of each on the fly, non-destructively. * Annotate images non-destructively with floating text labels, which you can rotate/scale on the fly and display in any color. * Montage/register/stitch/blend images manually with transparencies, semiautomatically, or fully automatically within and across sections, with translation, rigid, similarity and affine models with automatically extracted SIFT features. * Correct the lens distortion present in the images, like those generated in transmission electron microscopy. * Add alpha masks to images using ROIs, for example to split images in two or more parts, or to remove the borders of an image or collection of images. * Model neuronal arbors with 3D skeletons (with areas or radiuses), and synapses with connectors. * Undo all steps. And much more...

Proper citation: TrakEM2 (RRID:SCR_008954) Copy   


http://www.cdc.gov/nccdphp/dnpa/

Our vision a world where regular physical activity, good nutrition, and healthy weight are part of everyone''s life. Our mission to lead strategic public health efforts to prevent and control obesity, chronic disease, and other health conditions though regular physical activity and good nutrition. Our goals: * Increase health-related physical activity through population-based approaches. * Improve those aspects of dietary quality most related to the population burden of chronic disease and unhealthy child development. * Decrease prevalence of obesity through preventing excess weight gain and maintenance of healthy weight loss. Our Work With fiscal year (FY) 2008 funding of 38 million, CDC''s DNPAO is working to reduce obesity and obesity-related diseases. This is done through state programs, research, surveillance, training, intervention development and evaluation, leadership, policy and environmental change, communication and social marketing, and partnership development. See At A Glance 2009 for more. Supporting State Programs The Nutrition, Physical Activity and Obesity Program (NPAO) is a cooperative agreement between the Centers for Disease Control and Prevention''s Division of Nutrition, Physical Activity and Obesity (DNPAO) and 23 state health departments. The program goal is to prevent and control obesity and other chronic diseases through healthful eating and physical activity. The state program will develop strategies to leverage resources and coordinate statewide efforts with multiple partners to address all of the following DNPAO principal target areas: 1. Increase physical activity. 2. Increase the consumption of fruits and vegetables. 3. Decrease the consumption of sugar sweetened beverages. 4. Increase breastfeeding initiation, duration and exclusivity. 5. Reduce the consumption of high energy dense foods. 6. Decrease television viewing. Our Research DNPAO supports research to enhance the effectiveness of physical activity and nutrition programs. Topics of these research activities include: * the effectiveness of parent-focused strategies to reduce the time children spend watching television * the influences of the home environment on sugar-sweetened beverage consumption * the use of policy interventions to promote physical activity * the effectiveness of breastfeeding interventions in various settings. Publications: http://www.cdc.gov/nccdphp/DNPAO/aboutus/manuscripts/index.html

Proper citation: Division of Nutrition, Physical Activity and Obesity (RRID:SCR_008557) Copy   


  • RRID:SCR_009487

    This resource has 100+ mentions.

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

A graph theoretical network analysis toolbox which allows researchers to perform comprehensive analysis on the topology of brain connectome by integrating the most of network measures studied in current neuroscience field.

Proper citation: GRETNA (RRID:SCR_009487) Copy   


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

A platform for any Principal Component Analysis (PCA)-based analysis on functional neuroimaging data (PET and fMRI). Includes: * Ordinal Trend Canonical Variance Analysis for parametric designs (C. Habeck et al. A New Approach to Spatial Covariance Modeling of Functional Brain Imaging Data: Ordinal Trend Analysis. Neural Computation 2005; 17: 1602-1645) * Partial Least Squares for any design matrix * Subprofile Scaling Model for cross-sectional designs (JR. Moeller, Strother SC. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data.J Cereb Blood Flow Metab. 1991 Mar;11(2):A121-35.)

Proper citation: Generalized Covariance Analysis (RRID:SCR_009488) Copy   


  • RRID:SCR_009484

    This resource has 500+ mentions.

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

GAMMA suite is an open-source cross-platform data mining software package designed to analyze neuroimaging data. A neuroimaging study often focuses on biomarker detection and classification. We designed and implemented a Bayesian, multivariate, nonparametric suite of algorithms for analyzing neuroimaging data. The GAMMA suite can be used for brain morphometric analysis, lesion-deficit analysis, and functional MR data analysis.

Proper citation: GAMMA (RRID:SCR_009484) Copy   


http://ecvam.jrc.it/

ECVAM was created by a Communication from the Commission to the Council and the Parliament in October 1991*, pointing to a requirement in Directive 86/609/EEC** on the protection of animals used for experimental and other scientific purposes, which requires that the Commission and the Member States should actively support the development, validation and acceptance of methods which could reduce, refine or replace the use of laboratory animals: Article 7.2: An experiment shall not be performed if another scientifically satisfactory method of obtaining the result sought, not entailing the use of an animal, is reasonably and practicably available. Article 23: The Commission and Member States should encourage research into the development and validation of alternative techniques which could provide the same level of information as that obtained in experiments using animals, but which involve fewer animals or which entail less painful procedures, and shall take such other steps as they consider appropriate to encourage research in this field. ECVAM has been established in 1992 as a unit of the Environment Institute, part of the Joint Research Centre, and has been transferred to, at that time, newly formed Institute for Health and Consumer Protection in Ispra, Italy in 1998 of which ECVAM is still part of. Duties of ECVAM As defined in the Communication of the European Commission to Council and the European Parliament in October 1991*: 1. To coordinate the validation of alternative test methods at the European Union level. 2. To act as a focal point for the exchange of information on the development of alternative test methods. 3. To set up, maintain and manage a data base on alternative procedures. 4. To promote dialogue between legislators, industries, biomedical scientists, consumer organisations and animal welfare groups, with a view to the development, validation and international recognition of alternative test methods. Moreover, ECVAM should help to expand the JRC''s role in prenormative research. ECVAM thus seeks to promote the scientific and regulatory acceptance of alternative methods which are of importance to the biosciences, through research, new test development and validation, and the establishment of specialised databases, with the aim of contributing to the replacement, reduction and refinement of laboratory animal precedures (in accordance with the 3Rs concept of Russell & Burch***) Due to the political sensitivity of its duties, ECVAM, uniquely at the JRC, has its own Scientific Advisory Committee (ESAC) with participation from all Member States, relevant industrial associations, academic toxicology, the animal welfare movement, as well as other Commission services with interest in the alternatives topic area. The Validation Process Validation is the process by which the reliability and relevance of a procedure are established for a specific purpose. In 1995, based upon experience gained during several recent large-scale validation studies, and in consultation with various international experts (including members of ERGATT), ECVAM published recommendations concerning the practical and logistical aspects of validating alternative test methods (ECVAM workshop report 5). Five main stages in the evolution of new test methods were identified: test development; prevalidation; validation (involving a formal interlaboratory study with the testing of coded chemicals); independent assessment; and progression toward regulatory acceptance. ECVAM has implemented a prevalidation scheme, which includes three main phases: protocol refinement, protocol transfer, and protocol performance. The objective of the prevalidation process is to ensure that any method included in a formal validation study adequately fulfills the criteria defined for inclusion in such a study, so that financial and human resources are used more efficiently, and so that there is a greater likelihood that the expectations of those in the scientific, regulatory and animal welfare communities, who seek the replacement of current animal tests by relevant and reliable alternative methods, will be met. In 2004, ECVAM has published the Modular Approach to the ECVAM Principles on Test Validity (select from the top-menu bar the sector Publications followed by ECVAM Selected Articles) that makes the validation process more flexible, by breaking down the various steps in validation into indipendent modules, and defining for each module the information needed for assessing test validity. Collaborations ECVAMs activities are undertaken in collaboration with numerous laboratories and organisations in the EU Member States, and all over the world. ECVAM also works in close collaboration with other Commission services, such as DG Environment, DG Enterprise, DG Research and DG Health and Consumer Protection. Sponsor. This is a Five years project funded by DG RTD that aims to develop a testing strategy to improve the prediction of oral acute toxicity using non-animals based systems.

Proper citation: European Centre for the Validation of Alternative Methods (RRID:SCR_008504) Copy   


  • RRID:SCR_008503

    This resource has 1+ mentions.

http://eurobonet.pathobiology.eu/cd/

Integration objectives Training and education Standardisation in technology Share of material Web based sharing of information and communication Translational research Spreading excellence objectives Coordinated by Treviso Courses on bone pathology and molecular biology Standard Operation Protocols Web-based discussion forums Research objectives Work packages on: Cartilaginous Tumours (Leiden) Osteogenic Tumours (Munster) Giant Cell Tumours (Oxford) Ewing Sarcoma (Bologna)

Proper citation: Eurobonet (RRID:SCR_008503) Copy   


  • RRID:SCR_009438

    This resource has 10+ mentions.

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

A novel C++ based application developped at UNC-Chapel Hill that performs automatic brain tissue classification and structural segmentation. AutoSeg is designed for use with human and non-human primate pediatric, adolescent and adult data. AutoSeg uses a BatchMake pipeline script that includes the main steps of the framework entailing N4 bias field correction, rigid registration to a common coordinate image, tissue segmentation, skull-stripping, intensity rescaling, atlas-based registration, subcortical segmentation and lobar parcellation, regional cortical thickness and intensity statistics. AutoSeg allows efficient batch processing and grid computing to process large datasets and provides quality control visualizations via Slicer3 MRML scenes.

Proper citation: AutoSeg (RRID:SCR_009438) Copy   


  • RRID:SCR_009439

    This resource has 1+ mentions.

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

A collection of data processing and image analysis tools for data in BXH or XCEDE format. This includes data format encapsulation/conversion, event-related analysis, QA tools, and more. These tools form the basis of the fBIRN QA procedures and are also distributed as part of the fBIRN Data Upload Scripts.

Proper citation: BXH/XCEDE Tools (RRID:SCR_009439) Copy   


  • RRID:SCR_008467

    This resource has 1+ mentions.

http://www.cytopathology-foundation.org/

Cytopathology Foundation is a non-profit organization dedicated to the health care for the advancement of art and science of Cytopathology dealing with study of cells for proper disease management especially cancer. Cytopathology is a well established diagnostic sub-specialty of pathology. Instead of using surgically removed tissue to arrive at a diagnosis it attempts to identify diagnostic and prognostic information from dispersed cells obtained by non-invasive or minimally invasive techniques. An example, and its greatest success story thus far, is the role it has played in the battle with cervical cancer. The introduction of the Pap smear has contributed immensely to the early diagnosis and significantly decreased mortality of cervical cancer. Activities of the foundation 1. Support the mission statement in general. 2. Support the editorial and publication expenses of CytoJournal. 3. Future activities may include publication and marketing of cytopathology related literature, to generate funds. 4. Support any other scholarly activities in Cytopathology and related areas.

Proper citation: Cytopathology Foundation (RRID:SCR_008467) Copy   


  • RRID:SCR_009557

    This resource has 500+ mentions.

http://dsi-studio.labsolver.org

A software for diffusion MR images analysis. The provided functions include reconstruction (DTI, QBI, DSI, and GQI), deterministic fiber tracking, and 3D visualization. It has a window-based interface and operates on Microsoft Windows system.

Proper citation: DSI Studio (RRID:SCR_009557) Copy   


  • RRID:SCR_010501

    This resource has 1000+ mentions.

http://rfmri.org/dpabi

Software toolbox for data processing and analysis of brain imaging, evolved from DPARSF (Data Processing Assistant for Resting-State fMRI).

Proper citation: DPABI (RRID:SCR_010501) Copy   


  • RRID:SCR_008580

    This resource has 50+ mentions.

http://tronolab.epfl.ch

Retroelements constitute important evolutionary forces for the genome of higher organisms, yet their uncontrolled spread, whether from endogenous loci or within the context of viral infections, can cause diseases such as cancer, hepatitis and AIDS. Correspondingly, a variety of host-encoded activities limit this process, belonging to a line of defense commonly called intrinsic or innate immunity, which notably contributes to taming endogenous retroelements and to restricting the cross-species transmission of retroviruses. Our work aims at characterizing the relationship between retroelements and their hosts, which has recently led us to become more generally interested in epigenetic mechanisms regulating the expression of mammalian genomes.

Proper citation: Tronolab (RRID:SCR_008580) Copy   


http://www.sabc.murdoch.edu.au/

The SABC is the collaborative university Centre for R&D in agricultural and veterinary biotechnology in Western Australia. It provides platform technologies and world class equipment and facilities for R&D in agricultural biotechnology to researchers from universities, state government and industry. More than 20 research groups and companies rent space and use the SABC facilities. It is based at Murdoch University in Perth. Our Vision To be an eminent, internationally recognized centre for research and development in agriculture and veterinary biotechnology Our Mission To provide state-of-the-art facilities and equipment enabling multi disciplinary research in biotechnology which under pins the agricultural and veterinary industry, for the benefit of the community. This will be achieved by being recognised as the centre for agricultural biotechnology in WA providing national and international research links and collaborations fostering establishment of national centres in leading edge technologies Characteristics of the SABC * The SABC is a multi-user centre with a research spend of about $9 million pa * There is a critical mass of more than 225 researchers * The SABC combines university, state government and industry researchers in one cost-effective centre * The SABC operates as a ''Research Hotel'' in which different groups rent common laboratory space and access to platform technologies * The SABC supports incubation and co-location of new ag biotech companies in WA * The SABC promotes collaborative research, undertakes contract research, and provides many local, national and international linkages * SABC researchers are members of eight agricultural Cooperative Centres (CRCs) Research Focus The research focus is on molecular activities that involve or promote primary production of commercial livestock, crop plants or microbes, or their subsequent processing for added value. The SABC also supports research in biomedical sciences, and environmental biotechnology. Deliverables and Outcomes SABC researchers have an outstanding track record of outputs and outcomes. These include the provision of co-located, state-of-the art, well run platform technologies for all WA researchers plant breeding support leading to improved crop varieties (molecular markers, yield, resistance to diseases and pests, better quality, variety ID, diagnostics), improved productivity and health of livestock, and biomedical diagnostics. Facilities and platform technologies The SABC provides the most comprehensive set of equipment and facilities for biotechnology R&D in WA, with full facilities for: cell and molecular biology, robotics, high throughput agricultural genetic analyses and diagnostics, structural, comparative and functional genomics, microarray technologies, proteomics and mass spectroscopy and bioinformatics support via the (CBBC). Training and Mentoring The SABC plays a major role in advanced training in ag biotech. There are about 100 Honours and PhD students in the research complement. The SABC also runs a series of hands on short courses in molecular biology, gene mapping, diagnostics, proteomics and bioinformatics. In 2005 new postgraduate certificate and diploma courses on Application of Molecular Technologies was established at Murdoch University, run by internationally qualified SABC researchers. These provide advanced education at the Postgraduate Certificate, Diploma and MSc levels, for local and international participants. click here for details The SABC runs the following hands-on training workshops: * Introduction to Molecular Biology * Molecular Mapping Techniques in Diagnostic Biotechnology * High Throughput Genetic Analysis * Introduction to Proteomics * Advanced Proteomics * Bioinformatics (with the CBBC) Competitive Advantages The SABC: * combines crop, veterinary and biomedical research in biotechnology in one centre * is multidisciplinary and inclusive * provides enabling facilities, platform technologies and common laboratories * is highly cost effective Researcher Groups Using the SABC * Division of Health Sciences (Murdoch)/Veterinary Sciences * Division of Science and Engineering (Murdoch)/Biological Sciences and Biotechnology * UWA (Natural Resources and Agriculture, Biochemistry) * Curtin University (Molecular Biotechnology, Horticulture) * Edith Cowan University (Human Genetics) * WA Dept of Agriculture (animal, plant, microbial) * Fisheries * Perth Zoo * Plant Biotechnology Research Group * Australian Centre for Necrotrophic Fungal Pathogens (ACNFP) * Rumen Biotechnology * Centre for High Throughput Agricultural Genetic Analysis (CHAGA) * Veterinary Virology, Parasitology, Microbiology * Saturn Biotech Pty Ltd * Grain Biotech Australia Pty Ltd * Proteomics International * Lighthouse Laboratories Pty Ltd * ID PLUS Pty Ltd * Royal Perth Hospital * Fremantle Hospital * Australian Neuromuscular Research Institute (ANRI) Partnering Opportunities The SABC can provide full facilities for contract R&D, start up companies or co-location of existing companies in agricultural, veterinary and biomedical sciences via its incubation program. Contact the Director for further information. Partnering Needs Investors interested in commercializing outputs of SABC researchers.

Proper citation: Western Australian State Agricultural Biotechnology Centre (RRID:SCR_008577) Copy   


http://www.mrli.ppdi.com

PPD is a leading global contract research organization (CRO), celebrating 25 years of providing drug discovery, development and lifecycle management services. Our clients and partners include pharmaceutical, biotechnology, medical device, academic and government organizations. With offices in 41 countries and more than 10,500 professionals worldwide, PPD applies innovative technologies, therapeutic expertise and a commitment to quality to help clients and partners accelerate the delivery of safe and effective therapeutics and maximize the returns on their R&D investments. Discovery Services: BioDuro, A PPD Company A drug discovery services company focused on integrated drug discovery programs Nonclinical development Preclinical services partners. Compound Partnering PPD''s compound partnering business is now Furiex Pharmaceuticals, Inc., an independent, publicly traded company. Collaboration with Merck Our strategic collaboration with Merck enabled us to acquire its vaccines and biologics infrastructure, broaden our therapeutic expertise and expand our existing relationship. Alliance with WHISCON We have expanded our post-approval safety expertise and risk management through an alliance with World Health Information Science Consultants. Partnership with PUL To meet growing client demand in Southeast Asia, we partnered with Peking Union Lawke Biomedical Development Limited (PUL) to establish our central lab services in China. Our e-Newsletter is your source for what is happening at PPD and in the CRO industry.

Proper citation: Clinical Trial Solutions with PPD (RRID:SCR_008457) Copy   


  • RRID:SCR_008578

    This resource has 100+ mentions.

https://corporate.qiagen.com/newsroom/press-releases/press-release-details/2009/QIAGEN-to-Acquire-SABiosciences/default.aspx

SABiosciences, as part of QIAGEN, offers nucleic acid (DNA, RNA, miRNA) and protein isolation, preparation and purification services, as well as assay,array, sequencing, NGS and biomarker services and lab essentials.Offers PCR services, assays, array systems, and expression vectors. Acquired by QIAGEN in 2009.

Proper citation: SABiosciences (RRID:SCR_008578) Copy   


http://www.ncbcs.org/

The NCBCs are a set of networked computation core facilities for biomedical infrastructure funded under the NIH Common Fund, the National Program of Excellence in Biomedical Computing (NPEBC). There are seven funded Centers that cover systems biology, image processing, biophysical modeling, biomedical ontologies, information integration, and tools for gene-phenotype and disease analysis. The centers will create innovative software programs and other tools that enable the biomedical community to integrate, analyze, model, simulate, and share data on human health and disease. Each Center has Cores that are focused on (1) computational science, (2) biomedical computational science and (3) driving biological projects whose intent is to drive the interaction between computational and biomedical computational science. In addition to the Centers, the NIH has a number of active program announcements to develop collaborations with the biomedical research community��this includes announcements from the Biomedical Information Science and Technology Initiative (BISTI) and the Program for Collaborations with National Centers for Biomedical Computing. There are numerous efforts in education and training that emanate from the Centers and there is an annual all hands meeting.

Proper citation: National Centers for Biomedical Computing (RRID:SCR_010635) Copy   


  • RRID:SCR_008570

    This resource has 1+ mentions.

http://www.rickhanseninstitute.org

Organization that facilitates spinal cord injury research and care. By accelerating the translation of discoveries and best practices into improved treatments, it aims to improve the lives of people living with SCI.

Proper citation: Rick Hansen Institute (RRID:SCR_008570) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. RRID Portal Resources

    Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within RRID that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X