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.
http://gmt.genome.wustl.edu/somatic-sniper/current/
Software program to identify single nucleotide positions that are different between tumor and normal (or, in theory, any two bam files). It takes a tumor bam and a normal bam and compares the two to determine the differences. It outputs a file in a format very similar to Samtools consensus format. It uses the genotype likelihood model of MAQ (as implemented in Samtools) and then calculates the probability that the tumor and normal genotypes are different. This probability is reported as a somatic score. The somatic score is the Phred-scaled probability (between 0 to 255) that the Tumor and Normal genotypes are not different where 0 means there is no probability that the genotypes are different and 255 means there is a probability of 1 ? 10(255/-10) that the genotypes are different between tumor and normal. This is consistent with how the SAM format reports such probabilities. It is currently available as source code via github or as a Debian APT package.
Proper citation: SomaticSniper (RRID:SCR_005108) Copy
Tool for calling indels in Tumor-Normal paired sample mode.
Proper citation: SomaticIndelDetector (RRID:SCR_005107) Copy
A biomedical research institute that aims to understand and develop more effective treatments for human disease, focusing on critical research areas such as heart disease, cancer, lupus and Alzheimer's disease.
Proper citation: Oklahoma Medical Research Foundation (RRID:SCR_005287) Copy
https://www.urmc.rochester.edu/neurosurgery/specialties/neurooncology.aspx
Collaborative neuro-oncology research program with a tissue repository (tumor bank) containing a wide range of clinical specimens, which they make available to researchers in order to study the effects of new drugs on a large number and wide range of tumor specimens. They provide highly coordinated, complex care in neurosurgery, radiation oncology, medical oncology, and neurology to patients afflicted with tumors of the brain and spine by combining the newest technologies and treatments available anywhere in the world. The program is formed from a multidisciplinary group with a goal of helping patients navigate the complex issues surrounding brain and spinal cancer care. The researchers are working to increase the number of targets that could be considered for anti-angiogenesis therapy. Many of their studies focus on the blood vessel cells (endothelial cells) themselves, which, unlike tumor cells, rarely mutate and so might be less likely to become resistant to therapy and are also more easily reached through the bloodstream. Their researchers are also attempting to better understand the changes in the blood-brain barrier (BBB) that are associated with fluid accumulation and brain swelling (edema) in neuro-oncology patients. Normal brain tissue is shielded from the rest of the body by the BBB. This barrier is composed of very tight blood vessels that prevent most substances from entering the brain. Brain tumors have a leaky BBB ����?? this feature can be used to identify tumors on MRI scans. They have identified specific molecules that appear to be associated with the leaky, abnormal vessels while the normal blood vessels with intact BBB produce these molecules at very low levels or not at all. Inhibiting the function of these molecules may help control or prevent disruption of the BBB and limit cerebral edema in brain tumor patients, as well as patients suffering from stroke or traumatic brain injury.
Proper citation: University of Rochester Program for Brain Tumors and Spinal Tumors (RRID:SCR_005343) Copy
A biopharmaceutical company engaged in the discovery and development of Nanobodies, a novel class of antibody-derived therapeutic proteins based on single-domain antibody fragments, for a range of serious life-threatening human diseases including inflammation, hematology, oncology and pulmonary disease.
Proper citation: Ablynx (RRID:SCR_002940) Copy
http://www.hms.harvard.edu/NEPRC/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. A U.S. Regional Primate Research Center that focuses on AIDS, cancer, neuropsychiatric disorders, drug addiction, and neurodegenerative disease. The Division of Primate Resources provides researchers with the services and facilities to support biomedical research. It offers a broad spectrum of services ranging from analysis of tissue specimens to partnership investigations with leading biomedical research institutions. Outside investigators have access to tissue specimens, organs, blood, skeletal structures, and viral specimens. Services include veterinary services, animals and animal care, surgical and radiographic services, timed mating, biocontainment, pathology services, and professional and technical expertise. Additional diagnostic and research services at NEPRC include testing for antiviral antibodies, DNA cloning, and DNA sequencing. The colony of nine species includes rhesus macaques and other Old World monkeys and New World species including the common marmoset and squirrel monkey. Other species can be obtained. Animals with exceptional characteristics (specific-pathogen-free, timed pregnancy, surgically altered, etc.) can be made available if needed. Scientists wishing to conduct research at the center must have projects reviewed and approved by the center animal allocation committee.
Proper citation: New England National Primate Research Center (RRID:SCR_002887) Copy
http://genomics.senescence.info/
Collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses. A major resource in HAGR is GenAge, which includes a curated database of genes related to human aging and a database of ageing- and longevity-associated genes in model organisms. Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on aging, longevity, and life history that is ideal for the comparative biology of aging. GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling. Other projects include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed them to identify a set of genes commonly altered during mammalian aging which represents a conserved molecular signature of aging. Software, namely in the form of scripts for Perl and SPSS, is made available for users to perform a variety of bioinformatic analyses potentially relevant for studying aging. The Perl toolkit, entitled the Ageing Research Computational Tools (ARCT), provides modules for parsing files, data-mining, searching and downloading data from the Internet, etc. Also available is an SPSS script that can be used to determine the demographic rate of aging for a given population. An extensive list of links regarding computational biology, genomics, gerontology, and comparative biology is also available.
Proper citation: Human Ageing Genomic Resources (RRID:SCR_007700) Copy
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
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://lincs.hms.harvard.edu/db/
Database that contains all publicly available HMS LINCS datasets and information for each dataset about experimental reagents and experimental and data analysis protocols. Experimental reagents include small molecule perturbagens, cells, antibodies, and proteins.
Proper citation: HMS LINCS Database (RRID:SCR_006454) Copy
Fund the best research to eradicate diseases and support the warfighter to benefit the American Public. They promote innovative research, recognizing untapped opportunities, creating partnerships, and guarding the public trust. Research Program topics include: * Amyotrophic Lateral Sclerosis * Autism * Bone Marrow Failure * Breast Cancer * Defense Medical Research and Development Program * Duchenne Muscular Dystrophy * Gulf War Illness * Lung Cancer * Multiple Sclerosis * Neurofibromatosis * Ovarian Cancer * Peer Reviewed Cancer * Peer Reviewed Medical * Peer Reviewed Orthopaedic * Prostate Cancer * Psychological Health / Traumatic Brain Injury * Spinal Cord Injury * Tuberous Sclerosis Complex
Proper citation: Congressionally Directed Medical Research Program (RRID:SCR_006456) Copy
http://wiki.chasmsoftware.org/index.php/Main_Page
CHASM is a method that predicts the functional significance of somatic missense mutations observed in the genomes of cancer cells, allowing mutations to be prioritized in subsequent functional studies, based on the probability that they give the cells a selective survival advantage. SNV-Box is a database of pre-computed features of all possible amino acid substitutions at every position of the annotated human exome. Users can rapidly retrieve features for a given protein amino acid substitution for use in machine learning.
Proper citation: CHASM/SNV-Box (RRID:SCR_006445) Copy
http://dgidb.genome.wustl.edu/
A database of drug-gene relationships that provides drug-gene interactions and potential druggability data given list of genes. There are about 15 data sources that are being aggregated by DGIdb, with update date and these data sources are listed on this page: http://dgidb.genome.wustl.edu/sources, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: DGIdb (RRID:SCR_006608) Copy
The UMD TP53 Mutation Database is a novel web site exclusively dedicated to mutant TP53. The following datasets, analytical tools and software are available. * The TP53 UMD mutation database in human cancer (2012 release). This novel release (35,000 mutations, 3,600 publications) has been highly curated using an original and novel statistical procedure (See Edlung et al. PNAS 2012). * TP53MUTLOAD (MUTant Loss Of Activity Database), a novel database dedicated to detailed analysis of the properties of each TP53 mutant, ranging from transactivation to cell growth properties, change of conformation, localization or various gains of functions. The database contains more than 110,000 different entries. * TP53 Mut assessor, a novel stand-alone software available for both Windows and Mac users. Check your favorite TP53 mutants and get an instant identity card. Very useful to analyze any newly discovered TP53 mutants, as the software checks for every possible TP53 mutation. * MUT-TP53 2.0, an accurate and powerful tool that automatically manages p53 mutations and generate tables ready for publication, decreasing the risk of typing errors. MUT-TP53 2.0 also provides specific information for each TP53 mutation, allowing the user to assess the quality of the data. Up to 500 TP53 mutations can be managed simultaneously.
Proper citation: UMD p53 Mutation Database (RRID:SCR_006720) Copy
Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.
Proper citation: The Human Protein Atlas (RRID:SCR_006710) Copy
http://purl.bioontology.org/ontology/CANCO
A vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.
Proper citation: Cancer Chemoprevention Ontology (RRID:SCR_006966) Copy
Project to create network based understanding of biology by cataloging changes in gene expression and other cellular processes when cells are exposed to genetic and environmental stressors. Program to develop therapies that might restore pathways and networks to their normal states. Has LINCS Data Coordination and Integration Center and six Data and Signature Generation Centers: Drug Toxicity Signature Generation Center, HMS LINCS Center, LINCS Center for Transcriptomics, LINCS Proteomic Characterization Center for Signaling and Epigenetics, MEP LINCS Center, and NeuroLINCS Center.
Proper citation: LINCS Project (RRID:SCR_016486) Copy
https://proteomics.cancer.gov/programs/cptac
Clinical proteomic tumor analysis consortium to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, in order to understand molecular basis of cancer that is not possible through genomics and to accelerate translation of molecular findings into clinic. Operates through Proteome Characterization Centers, Proteogenomic Translational Research Centers, and Proteogenomic Data Analysis Centers. CPTAC investigators collaborate, share data and expertise across consortium, and participate in consortium activities like developing standardized workflows for reproducible studies.
Proper citation: CPTAC (RRID:SCR_017135) Copy
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
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
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.