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
X
Forgot Password

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

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 40 showing 781 ~ 800 out of 26,133 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection

https://www.hpcwire.com/2005/10/28/swami_the_next_generation_biology_workbench/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. The Next Generation Biology Workbench is a free resource for research and education in Bioinformatics, Genomics, Proteomics, and Phylogenetics. The NGBW is a re-engineering of the Biology Workbench which was designed by Shankar Subramaniam and his group to provide an integrated environment where tools, user data, and public data resources can be easily accessed. The NGBW is designed to be an organic tool that evolves with the needs of the Biomedical research and education communities. The Next Generation Biology Workbench (NGBW) is now available for public use, in its production release.

Proper citation: Swami: The Next Generation Biology Workbench (RRID:SCR_007217) Copy   


http://purl.bioontology.org/ontology/CCON

Ontology of Cerrado wood plant dynamics to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.

Proper citation: Cerrado concepts and plant community dynamics (RRID:SCR_007174) Copy   


http://www.cs.unm.edu/~moret/GRAPPA/

As fascinating as diversity is, it''s not the sort of thing that computational scientists usually get excited about. Uncovering how diversity came to be has captured the attention of a team of researchers at Alliance partner University of New Mexico and the University of Texas, though. Using the 512-processor LosLobos Linux Pentium III supercomputing cluster at the Albuquerque High Performance Computing Center, the team has created a phylogeny reconstruction - or evolutionary history - of 12 bluebell species, predicting all of the steps that take these species back to a single common ancestor. To meet the challenge, they created a whole new piece of software known as GRAPPA. GRAPPA is is free software available as a gzipped tar file containing all source files needed to compile an executable version.

Proper citation: GRAPPA: Genome Rearrangements Analysis under Parsimony and other Phylogenetic Algorithms (RRID:SCR_007208) Copy   


  • RRID:SCR_007073

    This resource has 1000+ mentions.

http://www.broadinstitute.org/

Biomedical and genomic research center located in Cambridge, Massachusetts, United States. Nonprofit research organization under the name Broad Institute Inc., and is partners with Massachusetts Institute of Technology, Harvard University, and the five Harvard teaching hospitals. Dedicated to advance understanding of biology and treatment of human disease to improve human health.

Proper citation: Broad Institute (RRID:SCR_007073) Copy   


http://purl.bioontology.org/ontology/EP

Ontology that contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels.

Proper citation: Cardiac Electrophysiology Ontology (RRID:SCR_007065) Copy   


https://arts-sciences.buffalo.edu/future-students/graduate-admissions/find-graduate-degree.host.html/content/authoritative/grad/programs/psychology-behavioral-neuroscience-phd.detail.html

Goal of Behavioral Neuroscience Program is to provide student with broad and deep knowledge of physiological and biological factors that control and affect behavior. Through close and personalized student mentor relationship we try to instill in student appreciation for programmatic problem oriented, rather than technique oriented, research. Program provides training toward the PhD for approximately 20 students at time. All students are expected to master core of theoretical and research methods, as well as to become skilled in conduct of their own research. In addition, students tailor their education to fit their own interests and professional goals through selection of appropriate elective courses and research projects.

Proper citation: University at Buffalo Department of Behavioral Neuroscience Program (RRID:SCR_007100) Copy   


http://purl.bioontology.org/ontology/GRO-CPGA

A structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology, http://bioportal.bioontology.org/ontologies/1587.

Proper citation: Cereal Plant Gross Anatomy Ontology (RRID:SCR_007061) Copy   


http://www.reading.ac.uk/

Public university in Reading, Berkshire, England. It was founded in 1892 as University College, Reading, a University of Oxford extension college.

Proper citation: University of Reading; Reading; United Kingdom (RRID:SCR_007135) Copy   


  • RRID:SCR_007094

http://eurofung.net/index.php?option=com_content&task=section&id=3&Itemid=4

The Eurofung project is a Coordination Action with the aim of developing a strategy to build up and maintain an integrated, sustainable European genomic database required for innovative genomics research of filamentous fungal model organisms of interest. This database will become a crystallization point for related systems and then could be integrated and conserved in a central European genomic database. The consortium counts 32 member laboratories, three of which have partner status. A Fungal Industrial Platform (FIP) of 13 members is also associated with the project. The project focuses on several filamentous fungi for different reasons. Aspergillus nidulans has a long record of use as a fungal model organism. Aspergillus niger, Trichoderma reesei and Penicillium chrysogenum are important cell factories used for the production of enzymes and metabolites including compounds such as Beta-lactams with benefits to human health. The human pathogen Aspergillus fumigatus serves not only as a model pathogen, but becomes more and more a serious threat to human health. The project contributes to create the conditions and facilities within Europe to widely apply all genomics technologies in filamentous fungal research. This will greatly expand our knowledge about filamentous fungi. This new genomics information will thus be beneficial to European biotechnology industries and help to improve the prevention and treatment of fungal disease. Expected results: The main results expected from this project are: - The contribution of the community to the manual annotation of important fungal genomes through annotation jamborees. - The realization of an integrated sustainable fungal genomic database through collaboration with bioinformatics centers and incorporation of the community data. - The realization of a fungal genomics knowledge base for the Eurofungbase community and the European fungal biotech industry through meetings, workshops and web-based information. - Intensified collaboration between the members of the network including the participating industries, thus strengthening the infrastructure for high quality fungal genomics research in Europe and furthermore determining joint research targets for the future. -Individualized training of a next generation of young scientists in fungal genomics and biotechnological research.

Proper citation: Eurofungbase (RRID:SCR_007094) Copy   


  • RRID:SCR_007096

    This resource has 1+ mentions.

http://purl.bioontology.org/ontology/CCONT

ontology for the formal representation of cell lines and their correspnding culture conditions.

Proper citation: Cell Culture Ontology (RRID:SCR_007096) Copy   


  • RRID:SCR_007316

    This resource has 10+ mentions.

https://code.google.com/p/swdmr/

A free software using a sliding-window approach to identify differentially methylated regions (DMR) from whole-genome bisulfite sequencing.

Proper citation: swDMR (RRID:SCR_007316) Copy   


  • RRID:SCR_007395

    This resource has 1+ mentions.

http://web.bioinformatics.ic.ac.uk/geb/

A Java application developed to visualise distribution of genomic features in high resolution.

Proper citation: GEB (RRID:SCR_007395) Copy   


http://www.thebiogrid.org/

Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts.

Proper citation: Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) Copy   


http://bioinfo3d.cs.tau.ac.il/FlexProt/

FlexProt detects the optimal flexible structural alignment of a pair of protein structures. The first structure is assumed to be rigid, while in the second structure potential flexible regions are automatically detected.

Proper citation: FlexProt: flexible protein alignment (RRID:SCR_007306) Copy   


http://neurotree.org/neurotree/

An academic genealogy platform that collects information about graduate students and posdoctoral research connections. The Neuroscience Academic Family Tree is a free, volunteer-run website designed to help you track your academic genealogy. Our goal is to collect information about the graduate student and postdoctoral connections between most researchers in the field. :How do I navigate the tree? :There are several ways to wander around Neurotree. The basics are summed up in the commands at the top of each page: :* Tree - Jump to a random node on the tree :* Search - Search for a specific person or people at a specific institution :* Recent additions - List the most recent additions :* Distance - Trace the connection between two people in the tree :* Add person - Add a new person to the tree (and be a good citizen!). You must sign up for an account to make additions. :* Analysis - Learn more amazing facts about neurogenealogy! ... and possibly something about the field of neuroscience.

Proper citation: Neurotree: Academic Family Tree (RRID:SCR_007383) Copy   


http://www.uqam.ca/

A French-language university with an international reputation. Firmly committed to research and creation, it offers more than 300 programs of study.

Proper citation: University of Quebec in Montreal; Quebec; Canada (RRID:SCR_007337) Copy   


  • RRID:SCR_007330

    This resource has 1+ mentions.

http://sourceforge.net/projects/taipan/

A fast hybrid short-read assembly tool.

Proper citation: Taipan (RRID:SCR_007330) Copy   


  • RRID:SCR_007326

http://fireball.drexelmed.edu/birnlex/OWLdocs/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 26, 2011. Lexicon that provides entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. These sources may include complex image databases, such as data from structural and functional magnetic resonance imaging (MRI) on human subjects involved in studies on Alzheimer''s disease or schizophrenia. The BIRNLex is a specialized vocabulary utilized by BIRN scientists in the context of their research, including common terms for neuroanatomy, molecular species, subject information, behavioral and cognitive processes, experimental practice and design, and the associated elements of primary data provenance required for large-scale data integration across disparate experimental studies.The BIRNLex offers well defined terms from several domains of importance to neuroimaging across scales.

Proper citation: BIRNLex (RRID:SCR_007326) Copy   


http://purl.bioontology.org/ontology/CNO

A controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations.

Proper citation: Computational Neuroscience Ontology (RRID:SCR_007289) Copy   


http://www.bna.org.uk/

The British Neuroscience Association, formerly known as The Brain Research Association, was officially relaunched in 1997, continuing many of the traditions of the BRA but with a professional and revamped style. Membership has increased dramatically since this time, now standing at 2000, and the BNA has increasingly taken a leading role in major events, such as hosting the Second Forum of European Neuroscience in Brighton in June, 2000. The BNA is the largest body representing all aspects of neuroscience from ion channels to whole animal behaviour. The Aims and Objectives of the Association are as follows: 1. To promote on a multidisciplinary basis the study of the development structure and function of the nervous system in health and disease. 2. To promote the dissemination of information to all those interested in the neurosciences and related disciplines by means of lectures, discussions, meetings and reports from time to time obtained from such researchers. 3. To advise as far as possible on issues in neurosciences related to health and disease. 4. To endeavour to increase public awareness and understanding of neuroscience research in health and disease. 5. To assist in the training of neuroscientists and other professionals engaged in neuroscience teaching and research. The BNA achieves these aims as follows: 1. By hosting a national meeting biennially, by publishing the proceedings of that meeting and distributing them to the scientific community. 2. By organising a number of focussed ''One Day symposia'' during the year, contributing to training courses for young neuroscientists and organising public lectures and events . 3. By regularly distributing information by the BNA Newsletter or by the BNA News E-mail Alert facility that can inform members about other relevant events, publications and topical issues. 4. By encouraging attendance at its own national meeting and those to which it is affiliated by awarding bursaries to students and young postdoctoral workers, and facilitating participation in the Society for Neuroscience annual meeting by offering sponsored abstract forms. 5. By awarding graduate and undergraduate prizes, and special awards to senior neuroscientists and to lay people who have contributed significantly through their own charitable work to the success of our discipline. 6. By constantly negotiating special discount prices of relevant books and journals, and by offering free online access to the European Journal of Neuroscience.The BNA is the fastest growing learned society, now boasting more than 2000 members, a rise of more than 40% since its relaunch as the BNA in 1997 from the former Brain Research Association. In addition to discounted journals and books and other occasional ''special offers'', the benefits of membership now include the following: 1. Reduced registration fees (up to 50%) to the National Meeting, and FREE admission to many events throughout the year including ''One Day Symposia'' and The Christmas Symposium. 2. Regular mailing of BNA Bulletin and other relevant items. 3. Regular BNA and FENs Email Alert service. 4. Student prizes, and bursaries for attendance at BNA, FENS and IBRO meetings. 5. Free on-line access to European Journal of Neuroscience. 6. Concessionary (SFN membership rate) registration fees and sponsored abstract forms for Society for Neuroscience annual meeting. 7. Free advertising in the BNA Bulletin and on the BNA Website. 8. Free (automatic) membership of the Federation of European Neuroscience Societies (FENS), the International Brain Research Organisation (IBRO) and the Biosciences Federation (BSF). educational resource; jobs.

Proper citation: British Neuroscience Association (RRID:SCR_007402) 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. Neuroscience Information Framework Resources

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