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 128 showing 2541 ~ 2560 out of 27,093 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection

http://www.the-aps.org/

A nonprofit devoted to fostering education, scientific research, and dissemination of information in the physiological sciences. Founded in 1887 with 28 members, the APS now has over 10,500 members. Most members have doctoral degrees in physiology and/or medicine (or other health professions). APS is governed by an elected Council consisting of a President, President-Elect, Past President, and nine Councillors. The National headquarters of the Society is based in Bethesda, Maryland, on the campus of the Federation of American Societies for Experimental Biology (FASEB). The American Physiological Society Awards program demonstrates the Society's dedication to its members and biomedical research by recognizing the research efforts of outstanding APS members. Awards are offered by the Society and the various APS Sections. For questions regarding the Society awards (including Student awards), please send an email to awards_at_the-aps.org. For questions regarding the Section awards please contact the individual Sections directly www.the-aps.org/sections/.

Proper citation: American Physiological Society (RRID:SCR_002826) Copy   


  • RRID:SCR_002741

http://www.neuroscience-berlin.de/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 10, 2017. In the last few years the Berlin neuroscience community has been highly successful in creating new research projects. Not the least of these is the cluster of excellence, NeuroCure, which has brought nine new professors and their research groups to Berlin. Along with the increasing levels of research, a number of new neuroscience training programs have recently been established. In 2002 the International Graduate Program Medical Neurosciences was the only structured Masters and PhD program: as of 2009 Berlin hosts four neuroscience schools and several DFG funded research training groups. The purpose of this website to highlight the many projects and people involved in the Berlin neuroscience community. We hope that you, the reader, can benefit from this summary., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Neuroscience Berlin (RRID:SCR_002741) Copy   


  • RRID:SCR_002856

    This resource has 1+ mentions.

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

Software that provides a unified API to the common file formats and parsers available for mass spectrometry data. It comes with a wrapper for the ISB random access parser for mass spectrometry mzXML, mzData and mzML files.

Proper citation: mzR (RRID:SCR_002856) Copy   


http://www.vph-noe.eu/

The VPH NoE is a project which aims to help support and progress European research in biomedical modeling and simulation of the human body. This project will improve our ability to predict, diagnose and treat disease, and have a dramatic impact on the future of healthcare, the pharmaceutical and medical device industries. The VPH Network of Excellence (VPH NoE) is designed to foster, harmonize and integrate pan-European research in the field of i) patient-specific computer models for personalised and predictive healthcare and ii) ICT-based tools for modeling and simulation of human physiology and disease-related processes. The main objectives of the VPH Network of Excellence are to support the: :- Coordination of research portfolios of VPH NoE partners through initiation of Exemplar integrative research projects that encourage inter-institution and interdisciplinary VPH research; :- Integration of research infrastructures of VPH NoE partners through development of the VPH ToolKit: a shared and mutually accessible source of research equipment, managerial and research infrastructures, facilities and services; :- Development of a portfolio of interdisciplinary training activities including a formal consultation on, and assessment of, VPH careers; :- Establishment of a core set of VPH-related dissemination and networking activities which will engage everyone from partners within the VPH NoE/other VPH projects, to national policy makers, to the public at large; :- Creation of Industrial, Clinical and Scientific Advisory Boards that will jointly guide the direction of the VPH NoE and, through consultation, explore the practical and legal options for real and durable integration within the VPH research community; :- Implementation of key working groups that will pursue specific issues relating to VPH, notably integrating VPH research worldwide through international physiome initiatives. Finally, by involving clinical and industrial stakeholders, VPH NoE also plans to lay a reliable ground to support sustainable interactions and collaboration between research and healthcare communities. Virtual Physiological Human lists, as its main target outcome, patient-specific computer models for personalized and predictive healthcare and ICT-based tools for modeling and simulation of human physiology and disease-related processes. Collaborative projects (IPs and STREPs) within the call will meet specific objectives, addressing: patient-specific computational modeling and simulation of organs or systems data integration and new knowledge extraction and clinical applications and demonstration of tangible benefits of patient-specific computational models. The networking action outlined within the call - the VPH NoE - should serve to connect these efforts, and lay the foundations for the methodological and technical framework to support such research. It should also build on previous EC investment in this field, including the outcomes of VPH type' projects funded within the EU Sixth Framework Programme, and through other National and International initiatives. The Virtual Physiological Human Network of Excellence (VPH NoE) has been designed with "service to the community" of VPH researchers as its primary purpose. Its aims range from the development of a VPH ToolKit and associated infrastructural resources, through integration of models and data across the various relevant levels of physiological structure and functional organization, to VPH community building and support. The VPH NoE aims to foster the development of new and sustainable educational, training and career structures for those involved in VPH related science, technology and medicine. The VPH NoE constitutes a leading group of universities, institutes and organizations who will, by integrating their experience and ongoing activities in VPH research, promote the creation of an environment that actively supports and nurtures interdisciplinary research, education, training and strategic development. The VPH NoE will lead the coordination of diverse activities within the VPH Initiative to help deliver: new environments for predictive, patient-specific, evidence-based, more effective and safer healthcare; improved semantic interoperability of biomedical information and contribution to a common health information infrastructure; facile, on-demand access to distributed European computational infrastructure to support clinical decision making; and increased European multidisciplinary research excellence in biomedical informatics and molecular medicine by fostering closer cooperation between ICT, medical device, medical imaging, pharmaceutical and biotech companies. The VPH NoE will connect the diverse VPH Initiative projects, including not only those funded as part of the VPH initiative but also those of previous EC frameworks and national funding schemes, together with industry, healthcare providers, and international organizations, thereby ensuring that these impacts will be realized. VPH NoE work packages and project structure The VPH NoE activities are divided between five main work packages (follow the links at the top of the page for more information on each). In brief, the focus of each work package is as follows: -Work package 1: Network Management -Work package 2: VPH NoE Exemplar Projects -Work package 3: VPH NoE ToolKit development -Work package 4: VPH NoE Training and Career Development -Work package 5: Spreading Excellence within the VPH NoE and VPH-I In view of its role as the networking action for the VPH Initiative, all VPH NoE activities have been designed to serve and interconnect not only the VPH NoE core members, but also the projects funded within the VPH call (VPH-I) and the wider research community. Key activities which the VPH NoE will pursue, in support of the development of a research environment which facilitates integrative, interdisciplinary and multilevel VPH research, are: -Support for integrative research -Training and dissemination activities -Networking activities Sponsors: VPH NoE is supported by The Directorate-General Research (DG RTD) and The Directorate-General Information Society and Media (DG INFSO).

Proper citation: Virtual Physiological Human Network of Excellence (RRID:SCR_002855) Copy   


  • RRID:SCR_002854

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

Software package that provides an interface to simulate metabolic reconstruction from the BiGG database and other metabolic reconstruction databases. The package facilitates flux balance analysis (FBA) and the sampling of feasible flux distributions. Metabolic networks and estimated fluxes can be visualized with hypergraphs.

Proper citation: BiGGR (RRID:SCR_002854) Copy   


  • RRID:SCR_002732

    This resource has 500+ mentions.

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

A tool set for pathway-based data integration and visualization. It maps and renders a wide variety of biological data on relevant pathway graphs. All users need is to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps user data to the pathway, and render pathway graph with the mapped data. In addition, Pathview also seamlessly integrates with pathway and gene set (enrichment) analysis tools for large-scale and fully automated analysis.

Proper citation: Pathview (RRID:SCR_002732) Copy   


  • RRID:SCR_002739

    This resource has 1+ mentions.

http://sourceforge.net/projects/glprobs/

Software implementing a simple and effective approach to improve the accuracy of multiple sequence alignment.

Proper citation: GLProbs (RRID:SCR_002739) Copy   


http://www.neuro.nl

The department of Neuroscience was founded in 2001, resulting from a merger between the Physiology and Anatomy department. In 2008, the BNT department joined forces. At present we consist of about 150 people. Our research is dedicated to Plasticity and Dynamics of Sensori-Motor Systems, which we investigate at the physiological, anatomical end molecular level in 18 different research groups. We have teaching responsibilities within the whole bachelor's phase of the medical curriculum at the Erasmus MC, teaching both basic anatomy and physiology, as well as neuroscience. The department hosts its own Master of Neuroscience program. The department of Neuroscience is embedded in the ONWAR, Helmholtz, and MGC research school

Proper citation: Erasmus MC Department of Neuroscience (RRID:SCR_002737) Copy   


  • RRID:SCR_002857

    This resource has 50+ mentions.

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

An R package for predicting the activity of metabolic pathways based solely on a metabolomics data set containing a list of metabolites identified and their respective abundances in different biological samples. PAPi generates hypothesis that improves the final biological interpretation.

Proper citation: PAPi (RRID:SCR_002857) Copy   


http://nbc.jhu.edu/

This center provides routine behavioral/cognitive testing of mice with phenotypes that are expressed as a consequence of alterations at the level of gene function, and that are relevant to basic neuroscience and to animal models of neurological and psychiatric disorders. Current Research Behavioral testing within the center involves a collaborative component in which mice provided by users are assessed for behavioral/cognitive functions. All research includes behavioral assessment of a variety of genetically altered mice provided by users. Services Provided The objective of the center is to provide a link between genetic and molecular analysis of neural function and the study of integrative systems and clinical conditions through behavioral assessment of animal models, and mouse behavioral phenotypes generated by genetic modification. Sponsors: This resource is supported by the National Center of Research Resources (Grant Number: P40 RR017688).

Proper citation: Neurogenetics and Behavior Center (RRID:SCR_002851) Copy   


  • RRID:SCR_002850

    This resource has 50+ mentions.

http://www.ambystoma.org/

Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network.

Proper citation: Sal-Site (RRID:SCR_002850) Copy   


  • RRID:SCR_002729

    This resource has 1+ mentions.

http://funsimmat.bioinf.mpi-inf.mpg.de

FunSimMat is a comprehensive resource of semantic and functional similarity values. It allows ranking disease candidate proteins for OMIM diseases and searching for functional similarity values for proteins (extracted from UniProt), and protein families (Pfam, SMART). FunSimMat provides several different semantic and functional similarity measures for each protein pair using the Gene Ontology annotation from UniProtKB and the Gene Ontology Annotation project at EBI (GOA). There are several search options available: Disease candidate prioritization: * Rank candidate proteins using any OMIM disease entry * Compare a list of proteins to any OMIM disease entry * Compare all human proteins to any OMIM disease entry Functional similarity: * Compare one protein / protein family to a list of proteins / protein families * Compare a list of GO terms to a list of proteins / protein families Semantic similarity: * For a list of GO terms, FunSimMat performs an all-against-all comparison and displays the semantic similarity values. FunSimMat provides an XML-RPC interface for performing automatic queries and processing of the results as well as a RestLike Interface. Platform: Online tool

Proper citation: FunSimMat (RRID:SCR_002729) Copy   


  • RRID:SCR_002724

    This resource has 10+ mentions.

http://sourceforge.net/projects/bio-rainbow/

Software developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq.

Proper citation: Rainbow (RRID:SCR_002724) Copy   


  • RRID:SCR_002844

    This resource has 10+ mentions.

http://www.nap.edu/

The National Academies Press (NAP) was created by the National Academies to publish the reports issued by the National Academy of Sciences, the National Academy of Engineering, the Institute of Medicine, and the National Research Council, all operating under a charter granted by the Congress of the United States. The NAP publishes more than 200 books a year on a wide range of topics in science, engineering, and health, capturing the most authoritative views on important issues in science and health policy. The institutions represented by the NAP are unique in that they attract the nation's leading experts in every field to serve on their award-winning panels and committees. This is the right place for definitive information on everything from space science to animal nutrition. Many books can be read on-line for free. NAP also offers many titles in electronic Adobe PDF format. Hundreds of these books can be downloaded for free by the chapter or the entire book, while others are available for purchase. Sponsors: This resource is supported by The National Academies.

Proper citation: National Academies Press (RRID:SCR_002844) Copy   


  • RRID:SCR_002964

    This resource has 5000+ mentions.

http://www.ebi.ac.uk/arrayexpress/

International functional genomics data collection generated from microarray or next-generation sequencing (NGS) platforms. Repository of functional genomics data supporting publications. Provides genes expression data for reuse to the research community where they can be queried and downloaded. Integrated with the Gene Expression Atlas and the sequence databases at the European Bioinformatics Institute. Contains a subset of curated and re-annotated Archive data which can be queried for individual gene expression under different biological conditions across experiments. Data collected to MIAME and MINSEQE standards. Data are submitted by users or are imported directly from the NCBI Gene Expression Omnibus.

Proper citation: ArrayExpress (RRID:SCR_002964) Copy   


http://www.uc.pt/en

Public university in Coimbra, Portugal that offers degree programs in a variety of fields including law, medicine, science and technology, pharmaceuticals, and sports sciences.

Proper citation: University of Coimbra; Coimbra; Portugal (RRID:SCR_002842) Copy   


  • RRID:SCR_002727

    This resource has 10+ mentions.

http://www.rbwb.org/

The Rodent Brain WorkBench is the portal to atlases, databases and tools developed by the Neural Systems and Graphics Computing Laboratory (NeSys) at the Centre for Molecular Biology and Neuroscience (CMBN), University of Oslo, Oslo, Norway. The Rodent Brain WorkBench presents a collection of brain mapping and atlasing oriented database applications and tools. The main category of available data is high resolution mosaic images covering complete histological sections through the rat and mouse brain. A highly structured relational database system for archiving, retrieving, viewing, and analysing microscopy and imaging data, aiming at presentation in standardized brain atlas space, is used to present a series of web applications for individual research projects. * Brain Connectivity * Atlases of Mouse Brain Promoter Gene Expression * General Brain Atlas and Navigation Systems * Downloadable tools for 3-DVisualization Open Access: * Atlas 3D * Cerebro-Cerebellar I * Cerebro-Cerebellar II * Neurotransporter Atlas * Rat Hippocampus * Tet-Off Atlas I (PrP) * Tet-Off Atlas II (PrP/CamKII) * Whole Brain Connectivity Atlas The data presented have been produced in collaboration with a large number of laboratories in Europe and the United States.

Proper citation: Rodent Brain WorkBench (RRID:SCR_002727) Copy   


  • RRID:SCR_002726

    This resource has 10+ mentions.

http://www.zbi.ee/fungal-genomesize/

Database for scientists interested in fungal genomics. Multiple species are included, and the database provides information on DNA C-values and genomic size. It also gives information derived from electrophoresis experiments and genome sequencing projects. The database accepts data submissions. We appreciate receiving published offprints, preprints, and personal communications providing C-value estimates for fungi.

Proper citation: Fungal C-values Database (RRID:SCR_002726) Copy   


http://www.ncrr.nih.gov/clinical_research_resources/resource_directory/general_clinical_research_centers/program_information/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Through the General Clinical Research Centers (GCRC) program, NCRR funds a national network that provides settings for medical investigators to conduct safe, controlled, state-of-the-art, in-patient and out-patient studies of both children and adults. GCRCs also provide infrastructure and resources that support several career development opportunities.

Proper citation: General Clinical Research Centers Program (RRID:SCR_002847) Copy   


  • RRID:SCR_002968

http://www.mybiosoftware.com/population-genetics/332

A tool for SNP Search and downloading with local management. It also offers flanking sequence downloading and automatic SNP filtering. It requires Windows and .NET Framework.

Proper citation: SNPHunter (RRID:SCR_002968) 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. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET 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 dkNET 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 dkNET then you can log in from here to get additional features in dkNET 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 dkNET 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 dkNET 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