Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
https://www.mitochondriasci.com/cancer.html
Creative Biogene provides comprehensive range of services and products to assist researchers in cancer related mitochondria studies. Offers tests and services with advantage of cell based and animal based models.
Proper citation: Creative Biogene Mitochondrial Gene Mutations (RRID:SCR_022082) Copy
http://www.cs.tau.ac.il/~spike/
Database of curated human signaling pathways with an associated interactive software tool for analysis and dynamic visualization of pathways. Individual pathway maps can be viewed and downloaded; the entire database may be browsed, or launched via a map viewer tool that allows dynamic visualization of the database and save networks in XGMML format that can be viewed in all generic XGMML viewers. Map Topics * Cell cycle progress and check points * DNA damage response * Programmed cell death related processes * Stress-activated transcription factors * Mitogen-activated protein kinase pathways * Immune response signaling * HEarSpike: hearing related pathways
Proper citation: SPIKE (RRID:SCR_010466) Copy
https://genome-cancer.ucsc.edu/
A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.
Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy
http://data-analysis.charite.de/care/
Comprehensive database of cancer relevant proteins and compound interactions supported by experimental knowledge.Knowledgebase for drug-target relationships related to cancer as well as for supporting information or experimental data.
Proper citation: CancerResource (RRID:SCR_011945) Copy
A genomics database project is an academic research program to identify molecular features of cancers that predict response to anti-cancer drugs.
Proper citation: Genomics of Drug Sensitivity in Cancer (RRID:SCR_011956) Copy
http://cbbiweb.uthscsa.edu/KMethylomes/
Datbase and web-based system for visualization and analysis of genome-wide methylation data of human cancers.
Proper citation: Cancer Methylome System (RRID:SCR_012013) Copy
A database of CpG islands and analytical tools for identifying comprehensive methylation profiles in cancer cells.
Proper citation: DBCAT (RRID:SCR_012014) Copy
A web-based application designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis.
Proper citation: CRAVAT (RRID:SCR_012776) Copy
https://rtips.cancer.gov/rtips/index.do
Database of cancer control interventions and program materials. It is designed to provide program planners and public health practitioners easy and immediate access to research-tested materials.
Proper citation: Research-tested Intervention Programs (RTIPs) (RRID:SCR_016042) Copy
Gathers together imaging and omic datasets into molecular maps of normal and diseased tissue from human and animal models, with emphasis on cancer. Used to access datasets, educational curriculum and talks, and recommended methods and software.
Proper citation: Harvard Tissue Atlas (RRID:SCR_022829) Copy
https://tabula-sapiens-portal.ds.czbiohub.org/
Single cell transcriptomic atlas of multiple organs from individual human donors. Multiple organ, single cell transcriptomic atlas of humans. Molecular reference atlas for cell types of human body. Provides molecular definition of these cell types and reveals many other aspects of human biology, including how same gene can be spliced differently in different cell types, how shared cell types in different tissues can have subtle differences in their identities, and how clones of immune system can be shared across tissues.
Proper citation: Tabula Sapiens (RRID:SCR_022314) Copy
http://sharedresources.fredhutch.org/core-facilities/scientific-imaging
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Scientific imaging service that serves as a centralized facility for imaging and visualization. The core facility provides access to time lapse and 3-D microscopy and quantitative autoradiography.
Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Scientific Imaging (RRID:SCR_015340) Copy
http://sharedresources.fredhutch.org/core-facilities/comparative-medicine
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core facility that provides a variety of animal housing, veterinary and research support services.
Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Comparative Medicine (RRID:SCR_015326) Copy
http://sharedresources.fredhutch.org/core-facilities/genomics
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core facility that provides expertise and support for generating genomics-based data. Services for DNA arrays, genetic analysis, and high-throughput screening are provided through three specialized laboratories.
Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Genomics Shared Resource (RRID:SCR_015327) Copy
http://cancer.osu.edu/research/cancerresearch/sharedresources/ltb/Pages/index.aspx
The OSU Comprehensive Cancer Center Leukemia Tissue Bank Shared Resource (LTBSR) facilitates the successful translation of basic leukemia research to the clinical setting via an extensive repository of tissue samples and accompanying pathologic, cytogenetic and clinical data for ready correlation of clinical and biological results. The LTBSR, which is an NCI-sponsored biorepository, has more than 40,000 vials of cryopreserved viable cells and 13,000 vials of matched frozen plasma and/or serum samples from more than 4,000 patients treated for leukemia and other malignancies. Committed to furthering translational research efforts for OSUCCC - James members and the cancer research community, the LTBSR provides investigators with training and technical support as well as procurement, processing, storage, retrieval and distribution of clinical research materials. In many cases, the LTBSR serves as the central processing lab for multi-site trials in which the principal investigator is an OSUCCC - James member. The LTBSR's goals are to: * Provide a central collection, processing and a state-of-the-art repository for samples collected from leukemia patients treated on OSUCCC - James protocols, and * Provide materials to investigators involved in collaborative studies with OSU, who examine relevant cellular and molecular properties of leukemia and correlate these properties with clinical or population-based outcomes.
Proper citation: Ohio State Leukemia Tissue Bank (RRID:SCR_000529) Copy
http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.
Proper citation: COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) Copy
A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis.
Proper citation: pSTIING (RRID:SCR_002045) Copy
A tool for annotating, exploring, and analyzing gene sets that may be associated with cancer.
Proper citation: Mutation Annotation and Genomic Interpretation (RRID:SCR_002800) Copy
https://wonder.cdc.gov/cancer.html
United States Cancer Statistics public information data provided by Centers for Disease Control and Prevention.
Proper citation: United States Cancer Statistics Public Information Data (RRID:SCR_024896) Copy
Portal provides access to cancer genomic data from variety of analyses: clinical, copy number, miR, miRseq, mRNA, mRNAseq, mutation and pathway analyses. Provides comprehensive suite of interdependent analyses of those data, including: correlations, clustering, and GISTIC and MutSigCV. Companion portal to the Broad Institute GDAC Firehose analysis pipeline, and was developed to cull and analyze data generated by The Cancer Genome Atlas (TCGA), which characterizes and identifies genomic patterns in human cancer models.
Proper citation: FireBrowse (RRID:SCR_026320) 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.
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.
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.
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.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within NIF that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
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.