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 1 showing 1 ~ 4 out of 4 results
Snippet view Table view Download 4 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_002129

    This resource has 500+ mentions.

http://www.theseed.org/wiki/Home_of_the_SEED

The SEED is a framework to support comparative analysis and annotation of genomes. The cooperative effort focuses on the development of the comparative genomics environment and, more importantly, on the development of curated genomic data. Curation of genomic data (annotation) is done via the curation of subsystems by an expert annotator across many genomes, not on a gene by gene basis. From the curated subsystems we extract a set of freely available protein families (FIGfams). These FIGfams form the core component of our RAST automated annotation technology. Answering numerous requests for automatic Seed-Quality annotations for more or less complete bacterial and archaeal genomes, we have established the free RAST-Server (RAST=Rapid Annotation using Subsytems Technology). Using similar technology, we make the Metagenomics-RAST-Server freely available. We also provide a SEED-Viewer that allows read-only access to the latest curated data sets. We currently have 58 Archaea, 902 Bacteria, 562 Eukaryota, 1254 Plasmids and 1713 Viruses in our database. All tools and datasets that make up the SEED are in the public domain and can be downloaded at ftp://ftp.theseed.org

Proper citation: SEED (RRID:SCR_002129) Copy   


http://www.uchicago.edu/

Private research university in Chicago, Illinois.

Proper citation: University of Chicago; Illinois; USA (RRID:SCR_002832) Copy   


  • RRID:SCR_011095

    This resource has 1+ mentions.

http://www.anl.gov/

For six decades, the U.S. Department of Energy''s (DOE''s) Argonne National Laboratory has excelled in conducting scientific research in support of a secure future for the nation. From Argonne''s inception, the University of Chicago has managed and operated the laboratorya laboratory that has become a scientific leader for DOE and the country. Achievements and honors earned by Argonne researchers include three Nobel Prizes, 90 R&D 100 awards, 700 national and international awards and honors, 750 patents and the start of over 30 small businesses. Argonne National Laboratory, one of the U.S. Department of Energy''s oldest and largest national laboratories for science and engineering research, employs roughly 3,200 employees, including about 1,000 scientists and engineers, three-quarters of whom hold doctoral degrees. Argonne''s mission is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation. Research at Argonne centers around three principal areas: *Energy ** Energy Storage: Argonne develops transformational energy storage systems that enable and enhance electric-drive vehicles and a green-energy grid through electrical energy storage development, prototype and manufacturing process engineering, stationary storage and grid management, and electric transportation systems. ** Alternative Energy and Efficiency: Argonne is developing the next generation of alternative energy sources to promote energy independence through improved chemical fuels, advanced biofuels, and solar energy systems, as well as through the optimization of fuel and engine dynamics. ** Nuclear Energy: Argonne develops advanced reactor and fuel cycle systems including fast reactor and fuel cycle technologies, advanced modeling and simulation methods, and innovative nuclear energy systems to enable the safe and sustainable generation of nuclear energy. * Biological and Environmental Systems: Argonne produces integrated molecular-scale, hydrological, economic and social computational models to enable regionally focused ecological and climate assessments through metagenome analysis, protein discovery, regional climate prediction and integrated climate, energy and economic discovery. * National Security: Argonne provides critical security technologies that prevent and mitigate events with potential for mass disruption or destruction through the nonproliferation and forensics of weapons of mass destruction, decision sciences, new sensors and materials, and cyber security.

Proper citation: Argonne National Laboratory (RRID:SCR_011095) Copy   


http://thefig.info/

Fonstein, Kogan, Osterman, Overbeek and Vonstein found the non-profit Fellowship for Interpretation of Genomes (FIG) to follow their vision of seeking advances in understanding through comparative analysis of the growing body of genomic data. The team at FIG began a new open source comparative genomics environment, the SEED. The Project to Annotate 1000 Genomes is a central goal of FIG. FIG is a nonprofit organization devoted to providing support for those analyzing genomes. It focuses on organizing the data needed to support interpretation of genomes, providing the infrastructure needed by the world community in its efforts to achieve understanding. FIG offers the key services required to architect and implement a comparative framework for interpreting genomes. In addition, we pick specific, critical problems and attempt to actively participate in the unraveling of the secrets within these amazing entities. It is only by merging the work of building infrastructure with the applications that use it that we will more deeply understand what is needed at each step.

Proper citation: Fellowship for Interpretation of Genomes (RRID:SCR_004821) 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