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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.
A public charity whose mission is to support the NIH in its mission to improve health, by forming and facilitating public-private partnerships for biomedical research and training. Its vision is Building Partnerships for Discovery and Innovation to Improve Health. The FNIH draws together the world''s foremost researchers and resources, pressing the frontier to advance critical discoveries. They are recognized as the number-one medical research charity in the countryleveraging support, and convening high level partnerships, for the greatest impact on the most urgent medical challenges we face today. Grants are awarded as part of a public-private partnership with the National Heart, Lung, and Blood Institute (NHLBI) on behalf of The Heart Truth in support of women''s heart health education and research. Funding for the Community Action Program is provided by the FNIH through donations from individuals and corporations including The Heart Truth partners Belk Department Stores, Diet Coke, and Swarovski. Successful biomedical research relies upon the knowledge, training and dedication of those who conduct it. Bringing multiple disciplines to bear on health challenges requires innovation and collaboration on the part of scientists. Foundation for NIH partnerships operate in a variety of ways and formats to recruit, train, empower and retain their next generation of researchers. From lectures and multi-week courses, to scholarships and awards through fellowships and residential training programs, their programs respond to the needs of scientists at every level and stage in their careers.
Proper citation: Foundation for the National Institutes of Health (RRID:SCR_004493) Copy
A place where people connected to cancer can share real-life experiences -- fears, insights, stories, and advice. Adding perspectives is easy, and every contribution builds the site into a more valuable and unique community resource. Content, resources, and support on wikiCancer: * Just been diagnosed with cancer? * Living with cancer * For cancer survivors * How to support someone with cancer * Connect with other cancer patients, survivors, family and caregivers
Proper citation: wikiCancer (RRID:SCR_001824) 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
An American pharmaceutical company aiming to make a difference in the lives of people globally through their medicines, vaccines, biologic therapies and animal health products.
Proper citation: Merck (RRID:SCR_001287) Copy
http://www.broadinstitute.org/science/programs/genome-biology/computational-rd/somaticcall-manual
Software program that finds single-base differences (substitutions) between sequence data from tumor and matched normal samples. It is designed to be highly stringent, so as to achieve a low false positive rate. It takes as input a BAM file for each sample, and produces as output a list of differences (somatic mutations). Note: This software package is no longer supported and information on this page is provided for archival purposes only.
Proper citation: SomaticCall (RRID:SCR_001196) Copy
http://patchwork.r-forge.r-project.org/
Software tool for analyzing and visualizing allele-specific copy numbers and loss-of-heterozygosity in cancer genomes. The data input is in the format of whole-genome sequencing data which enables characterization of genomic alterations ranging in size from point mutations to entire chromosomes. High quality results are obtained even if samples have low coverage, ~4x, low tumor cell content or are aneuploid. Patchwork takes BAM files as input whereas PatchworkCG takes input from CompleteGenomics files. TAPS performs the same analysis as Patchwork but for microarray data.
Proper citation: Patchwork (RRID:SCR_000072) Copy
http://www.mmnt.net/db/0/0/ftp-genome.wi.mit.edu/distribution/GISTIC2.0
Software to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, they improve the estimation of background rates for each category.
Proper citation: GISTIC (RRID:SCR_000151) Copy
A contract research organization (CRO) specializing in preclinical oncology services. As a pioneer in the field of patient derived tumor xenografts (PDX), they provide tailored solutions to the problems faced by preclinical oncology researchers. They assist with the identification of the best drug candidates and the validation of their targets and deliver in-depth bioinformatics analyses, laying the groundwork for the successful planning of clinical trials. Their diverse tumor model collection enables them to recommend the right assays and models to answer their customers' questions. Their AAALAC accredited facilities with IVC system, separate model development unit, large cage capacity of over 14,500 mice and proprietary electronic measurement system with an integrated database and by continuously maintaining important PDX models in mice, they are able to provide the highest standard of testing within a reasonable timeframe.
Proper citation: Oncotest (RRID:SCR_000489) Copy
http://www.broadinstitute.org/cancer/cga/mutect
Software for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes.
Proper citation: MuTect (RRID:SCR_000559) 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
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
The UCSF Helen Diller Family Comprehensive Cancer Center combines basic science, clinical research, epidemiology/cancer control, and patient care throughout the University of California, San Francisco. UCSF''s long tradition of excellence in cancer research includes, notably, the Nobel Prize-winning work of J. Michael Bishop and Harold Varmus, who discovered cancer-causing oncogenes. Their work opened new doors for exploring genetic mistakes that cause cancer, and formed the basis for some of the most important cancer research happening today. * Basic Scientific Research: From understanding normal cellular processes and replication to discovering the underlying molecular and genetic causes of cancer when these processes go awry, UCSF researchers are committed to moving scientific insights beyond model systems and pursuing their relevance for clinical oncology and cancer prevention. * Clinical Research: Clinical scientists explore how greater understanding of fundamental biological events can be transformed into clinically relevant tools. New forms of cancer treatment, as well as innovations in diagnosis and prognosis, undergo rigorous evaluation for safety and efficacytranslating into improved patient outcomes and hope for the future. * Patient Care: The Helen Diller Family Comprehensive Cancer Center provides superlative cancer patient care at four San Francisco medical centers: UCSF Medical Center at Mount Zion; UCSF Medical Center at Parnassus; San Francisco General Hospital; and the San Francisco Veterans Affairs Medical Center. * Population Science: Cancer population sciences at UCSF includes a broad range of research on the causes of new cancers and the sickness and death due to the disease in order to develop ways to improve the prevention and early detection of cancer as well as the quality of life following diagnosis and treatment for all of Northern California''s diverse populations.
Proper citation: UCSF Helen Diller Family Comprehensive Cancer Center (RRID:SCR_008857) Copy
http://www.cancerimagingarchive.net/
Archive of medical images of cancer accessible for public download. All images are stored in DICOM file format and organized as Collections, typically patients related by common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Neuroimaging data sets include clinical outcomes, pathology, and genomics in addition to DICOM images. Submitting Data Proposals are welcomed.
Proper citation: Cancer Imaging Archive (TCIA) (RRID:SCR_008927) Copy
http://thelongevityfoundation.org/
Funding resource that supports research into A-T (Ataxia Telangiectasia) and other debilitating, degenerative diseases plaguing human kind, including cancer and neuro-degeneration associated with auto-immunity and aging. Researchers share their findings and collaborate with each other. The research must lead to practical, near-term treatments and cures to receive funds. The researchers have found treatments and cures that are the first of their kind in the world. Over $850,000 in direct research grants have been made. These grants have leveraged over $9 million in research resources contributed by partner institutions. We pay the research institutions for direct costs only. We pay no administrative, indirect, or overhead costs.
Proper citation: Longevity Foundation (RRID:SCR_006338) Copy
http://www.uni-koeln.de/med-fak/cgars/
Software package to dissect random from non-random patterns in copy number data and thereby to assess significantly enriched somatic copy number aberrations (SCNA) across a set of tumor specimens or cell lines.
Proper citation: CGARS (RRID:SCR_006404) Copy
http://bioinf.wehi.edu.au/socrates/
Software for detecting genomic rearrangements in tumors that utilizes only split-read data. It features single nucleotide resolution, high sensitivity, and high specificity in simulated data. It takes advantage of parallelism for efficient use of resources.
Proper citation: Socrates (RRID:SCR_006411) Copy
Statistical software to estimate tumor purity, ploidy and absolute copy numbers from next generation sequencing data.
Proper citation: AbsCN-seq (RRID:SCR_006409) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
