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 10 showing 181 ~ 200 out of 300 results
Snippet view Table view Download 300 Result(s)
Click the to add this resource to a Collection

https://www.cnio.es/ing/

A cancer research center whose goal is to offer innovative technoligies to spur the develpment of new methods of diagnosing and treating cancer. CNIO contains a variety of programs of investigation, including a biotechnology program, a clinical research program, and a molecular oncology program. CNIO also provides services that allow researchers to access and use technologies and tools such as cytogenetics and monoclonal antibodies, and hosts a biomedical biobank.

Proper citation: Spanish National Cancer Research Center (RRID:SCR_014054) Copy   


  • RRID:SCR_001117

    This resource has 1+ mentions.

https://wiki.nci.nih.gov/display/cageneindex/Cancer+Gene+Index+End+User+Documentation

THIS RESOURCE IS NO LONGER IN SERVICE, documented on November 17, 2016. A database of genes that have been experimentally associated with human cancer diseases and/or pharmacological compounds, the evidence of these associations, and relevant annotations on the data.

Proper citation: Cancer Gene Index (RRID:SCR_001117) Copy   


  • RRID:SCR_002102

    This resource has 1+ mentions.

http://srv00.recas.ba.infn.it/ASPicDB/

A database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.

Proper citation: ASPicDB (RRID:SCR_002102) Copy   


  • RRID:SCR_003565

http://ncim.nci.nih.gov/ncimbrowser/

A wide-ranging biomedical terminology database that covers most terminologies used by NCI for clinical care, translational and basic research, and public information and administrative activities. NCIm features: * Maps 4,000,000 terms from more than 75 sources into 2,000,000 biomedical concepts that represent their meaning. * Displays preferred terms, synonyms, definitions, and other information from each source. * Links to NCI Thesaurus and other related information sources. * Contains 22,000,000 cross-links between content elements. * Updated frequently by a team of biomedical terminology and subject matter experts. NCIm contains most public domain terminologies from the National Library of Medicine's UMLS Metathesaurus, as well as many other biomedical terminologies created by or of interest to NCI and its partners. Some propriety terminologies are included, with permission, and have restrictions on their use. The current version of the NCI Metathesaurus, based on the UMLS build 2013AA, covers up to National Cancer Institute Thesaurus, 13.12d. A viewer for the UMLS changes document can be downloaded.

Proper citation: NCI Metathesaurus (RRID:SCR_003565) Copy   


https://seer.cancer.gov/statfacts/

Collection of statistical summaries for number of common cancer types. They were developed to provide quick overview of frequently requested cancer statistics. Available statistics may include incidence, mortality, survival, stage, prevalence, and lifetime risk. Links to additional resources from NCI including risk factors, treatment, and clinical trials are also provided. The statistics will be updated annually to coincide with the SEER data release.

Proper citation: National Cancer Institute Cancer Statistics Cancer Stat Facts (RRID:SCR_024437) Copy   


  • RRID:SCR_015810

Ratings or validation data are available for this resource

http://pubs.rsc.org/en/content/articlehtml/2017/LC/C7LC00703E

Equipment that is a magnetic micropore chip for rapid unbiased circulating tumor cell isolation and in situ RNA analysis. The chip detects tumor cells and can help doctors treat patients with these tumors.

Proper citation: CaTCh FISH Chip (RRID:SCR_015810) Copy   


  • RRID:SCR_008599

https://sites.google.com/site/drivermutationidentification/

Computational tool developed to help identify cancer-associated ''driver'' mutations from ''passenger'' ones in a cancer genome.

Proper citation: DMI (RRID:SCR_008599) Copy   


  • RRID:SCR_008879

    This resource has 1+ mentions.

http://www.kreftregisteret.no/en/

Comprises 3 registries of cancer patients in Norway: the Incidence Registry, the Clinical Registry and Cancer Statistics. The Incidence Registry contains the basic data items collected from clinicians and pathologists, as well as from administrative discharge and mortality sources. It is updated continuously with information on both new cases, as well as cases diagnosed in previous years. All medical doctors in the country are instructed by law to notify new cancer cases. Clinical Registries: Registration of treatment and follow-up of Norwegian cancer patients. Clinical registries comprehensive registration schemes dedicated to specific cancers have been established to include detailed information on diagnostic measures, therapy, and follow-up. Cancer Statistics: Database of cancer statistics. The Cancer Registry of Norway is maintained by the Institute of Population-based Cancer Research and established in 1951. It is one of the oldest national cancer registries in the world. This, combined with the unique personal identification number used in Norway, makes the Cancer Registry''s data suitable, also internationally; by establishing new knowledge through research and spreading information on cancer.

Proper citation: Cancer Registry of Norway (RRID:SCR_008879) Copy   


http://www.marionegri.it/mn/en/

A not-for-profit biomedical research institute whose main aim is to help defend human health and life. Research programs span from the molecular level to the whole human being, and the findings help build up the basis for developing new drugs, and making existing ones more effective. The main research headings are the battle against cancer, nervous and mental illnesses, cardiovascular and kidney diseases, rare diseases and the toxic effects of environmental contaminants, mother and child''''s health. The Institute is also involved in research on pain relief and drug addiction. Parallel to its biomedical investigations, the Mario Negri Institute runs training schemes for laboratory technicians and graduate researchers. It takes part in a range of initiatives to communicate information in biomedicine, on a general level and with the specific aims of improving health care practice, and encouraging more rational use of drugs. There are also research units in Bergamo, at Ranica - near Bergamo - and at Santa Maria Imbaro, near Chieti.

Proper citation: Mario Negri Institute for Pharmacological Research; Milan; Italy (RRID:SCR_011361) Copy   


http://www.mc.pref.osaka.jp/omc2/eng/index.html

Center for cancer and cardiovascular diseases with a focus on advanced cancer therapy in the Kansai area. It consists of the Hospital, the Research Institute, and the Department of Cancer Control and Statistics. The Research Institute is responsible for acquiring and applying knowledge of the molecular and genetic aspects of human cancer. The mission of the Research Institute is to perform basic and applied cancer research through collaboration with the Hospital and the Department of Cancer Control and Statistics. The large tumor tissue collection is the major focus of their research efforts. The Research Institute includes seven official departments: Biology, Biochemistry, Pathology, Molecular Medicine & Pathophysiology, Molecular Biology, Molecular Genetics, and Immunology. In addition, a group conducted by the Director (Director''s Unit) and Laboratory of Genome Informatics. The research objectives are as follows. # Clinical research. ## Prognosis predictor of gliomas based on gene expression profiling ## Targeted oncolytic virus # Technical developments for cancer research ## A new method for storing cancer cells taken from human tumor tissues (cancer tissue-originated spheroid) ## Bioinformatics for personalized genomics # Basic research ## Mechanism of metastasis ## Low oxygen environment and cancer ## Structure analysis of oligosaccharide on human cancer cells ## Proof-of-principle study of artificial adjuvants

Proper citation: Osaka Medical Center for Cancer and Cardiovascular Diseases; Osaka; Japan (RRID:SCR_011477) Copy   


http://www.dkfz.de/index.html

Biomedical research institute in Germany that investigates the mechanisms of cancer and works to identify cancer risk factors. They provide the foundations for developing novel approaches in the prevention, diagnosis, and treatment of cancer and are a member of the Helmholtz Association of National Research Centers. Professor Harald zur Hausen was awarded the Nobel Prize for Medicine for his outstanding scientific contribution to the study of human papillomaviruses (HPV). In addition, the staff of the Cancer Information Service (KID) offers information about the widespread disease of cancer for patients, their families, and the general public. The Center is funded by the German Federal Ministry of Education and Research (90%) and the State of Baden-Württemberg (10%).

Proper citation: German Cancer Research Center (RRID:SCR_012942) Copy   


  • RRID:SCR_012016

    This resource has 1+ mentions.

http://bioinfo-out.curie.fr/projects/snp_gap/

Software for automatic detection of absolute segmental copy numbers and genotype status in complex cancer genome profiles measured by single-nucleotide polymorphism (SNP) arrays. The method is based on pattern recognition of segmented and smoothed copy number and allelic imbalance profiles. The method performs well even for poor-quality data, low tumor content, and highly rearranged tumor genomes.

Proper citation: Genome Alteration Print (RRID:SCR_012016) Copy   


  • RRID:SCR_004140

    This resource has 50+ mentions.

http://www.mycancergenome.org/

A freely available online personalized cancer medicine knowledge resource for physicians, patients, caregivers and researchers that gives up-to-date information on what mutations make cancers grow and related therapeutic implications, including available clinical trials. It is a one-stop tool that matches tumor mutations to therapies, making information accessible and convenient for busy clinicians.

Proper citation: My Cancer Genome (RRID:SCR_004140) Copy   


  • RRID:SCR_004093

    This resource has 1+ mentions.

https://www.bips-institut.de/en/research/cancer-registry.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A population based database collecting incident cases of cancer diagnosed since January 1998 in the population of the Federal state of Bremen. The Registry provides data for the analysis of * age specific time trends and geographical patterns of cancer incidence in men and women * cancer causes (e.g. work-related, environmental and personal risk factors) * epidemiological evaluation of screening programs * survival analysis of cancer patients. Since the incidence year of 2001, the Registry has a completeness level of > 95 %, based on expected values provided by the Robert Koch Institute.

Proper citation: Bremen Cancer Registry (RRID:SCR_004093) Copy   


https://www.jax.org/jax-mice-and-services/in-vivo-pharmacology/mouse-tumor-biology-database

Database supports use of mouse model system for human cancer by providing comprehensive resource for data and information on various tumor models.

Proper citation: Mouse Tumor Biology Database (RRID:SCR_006517) Copy   


  • RRID:SCR_000517

http://www.ucl.ac.uk/biobank/

Two University College London (UCL) biobanks, one based at the Royal Free Hospital (RFH) Campus and the other based at Bloomsbury supporting Pathology and the Cancer Institute, will act as physical repositories for collections of biological samples and data from patients consented at UCLH, Partners Hospitals and external sources. This will incorporate collections of existing stored samples and new collections. UCL-RFH BioBank, the physical repository at the Royal Free, presents a unique opportunity to advance medical research through making access to research tissue easier, faster and much more efficient. The BioBank is both a physical repository, with capacity for up to 1 million cryogenically stored samples and a virtual repository for all tissue, cell, plasma, serum, DNA and RNA samples stored throughout UCLP. In particular, samples considered "relevant material", such as tissues and cells, that are licensed by the Human Tissue Authority, can be stored long term. Existing holdings of tissues and cells where appropriate can be transferred to the Physical BioBank at the Royal Free. UCL - Royal Free BioBank provides a flexible approach to banking, allowing the Depositor to pick and choose services that are tailored to fit their requirements. Collaborations arising from publicizing of the existence of the holdings are entirely at the discretion of the depositor, as the facility ensures that access to the deposits remains at the decision of the Depositor/User. UCL Biobank for studying Health and Disease (based at Pathology-Rockefeller building and the UCL-Cancer Institute will support projects principally involved in the study of human disease. The aim is to support primarily, research in the Pathology Department, UCLH and the UCL-Cancer Institute but it will also support other UCLH partners. The biobank will store normal and pathological specimens, surplus to diagnostic requirements, from relevant tissues and bodily fluids. Stored tissues will include; snap-frozen or cryopreserved tissue, formalin-fixed tissue, paraffin-embedded tissues, and slides prepared for histological examination. Tissues will include resection specimens obtained surgically or by needle core biopsy. Bodily fluids will include; whole blood, serum, plasma, urine, cerebrospinal fluid, milk, saliva and buccal smears and cytological specimens such as sputum and cervical smears. Fine needle aspirates obtained from tissues and bodily cavities (e.g. pleura and peritoneum) will also be collected. Where appropriate the biobank will also store separated cells, protein, DNA and RNA isolated from collected tissues and bodily fluids described above. Some of the tissue and aspirated samples will be stored in the diagnostic archive.

Proper citation: UCL Biobank (RRID:SCR_000517) Copy   


  • RRID:SCR_003193

    This resource has 5000+ mentions.

http://cancergenome.nih.gov/

Project exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future).

Proper citation: The Cancer Genome Atlas (RRID:SCR_003193) Copy   


http://www.bcgsc.ca/project/pleiades-promoter-project

Project to generate human DNA promoters of less than 4 kb (MiniPromoters) to drive gene expression in defined brain regions of therapeutic interest for diseases such as Alzheimer, Parkinson, Huntington, Amyotrophic Lateral Sclerosis, Multiple Sclerosis, Spinocerebellar Ataxia, Depression, Autism, and Cancer. Project develops and shares tools like human MiniPromoters that drive region- and cell-specific gene expression in the mouse brain, expression constructs, mouse embryonic stem cell lines, and knock-in mice all of which carry brain-specific MiniPromoters. Project is daughter of Genome Canada Project, Atlas of Gene Expression in Mouse Development, within which mouse brain gene expression data have already been gathered. Project team has collaborated with International BioPharma Solutions Ltd., management and communications consulting company specializing in product development and commercialization advice. Project will explore challenging interface between science and journalism with focus on genomics and gene therapy.

Proper citation: Pleiades Promoter Project: Genomic Resources Advancing Therapies for Brain Disorders (RRID:SCR_003282) Copy   


  • RRID:SCR_004355

http://ki.se/en/research/ki-biobank

KI Biobank is an accredited core facility offering sample collection services. KI Biobank is located at the Department of Medical Epidemiology and Biostatistics. KI Biobank offer infrastructure for pre analytical sample handling and provide researchers guidance on how samples should be taken and labeled. The processes comprise registration, handling, storage and distribution of samples. KI Biobank also offers DNA-extraction from blood and saliva. In order to insure complete traceability on samples and belonging information all processes are controlled by a Laboratory Information Management System (LIMS). For every new study a contract is established describing the study and the disposition rights. We also help in writing Biobank agreements including multicenteravtal and Material Transfer Agreement. KI Biobank is, according to the Biobank law, responsible for all sample collections handled within the core facility and those that are stored on the departments on KI campus. Clinical sample collections are handled by the Biobank units at the respective hospitals within the Stockholm County Council. Besides the samples that are stored centrally at KI Biobank, KI Biobank is also the administrative biobank for research sample collections at Karolinska Institutet that are stored and administrated at the departments. All research sample collections must be reported to KI Biobank. The following types of sample collections are registered in the biobank; sample collections taken within the regular health care that has been transferred to Karolinska Institutet with an agreement of transfer, samples taken from healthy individuals or other persons out of the regular health care and samples that have been taken abroad.

Proper citation: Karolisnka Biobank (RRID:SCR_004355) Copy   


http://www.rbcsyd.se/

To meet the law requirements and regulations of the National Board of the Southern Health Care Region, Region Skane and Lund University agreed to establish a common biobanking center for Southern healthcare region. Regional biobanksrcentrum will develop and maintain systems for quality assurance and integrity protected using biobanks. The Regional Biobank center is responsible for matters relating to the collection, storage and use of samples stored in biobanks in the Southern healthcare region. Regional Biobank center operations consist of: * to promote the use of biobank material is in accordance with legal requirements biobank * to promote integrity protected and safe storage of repository material * to provide information about the biobank law and biobank materials used for individual sample donors, health professionals, researchers and the public * to handle requests for modified consent and desire to destroy or de test * maintaining a current and privacy protected records of repository material in the region * work to the individual''s integrity will be strengthened in relation to research on biobank material. Tissue samples available to other parties, by surrendering, or by sending tissue samples for analysis, requiring the return or destruction, after completion of the analysis. Regional Biobank Centre (RBC) for the southern healthcare region was established in 2004 and was until 2010 in the Oncology Centre. As of January 1, 2011 it is under the management of RBC Labmedicin Skane.

Proper citation: Swedish Regional Biobank (RRID:SCR_004503) 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. NIDM Terminology Resources

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