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A biotechnology corporation that uses human genetic information to discover, develop, manufacture and commercialize medicines to treat patients with serious or life-threatening medical conditions.
Proper citation: Genentech (RRID:SCR_003997) Copy
A global pharmaceutical company.
Proper citation: Eisai (RRID:SCR_003936) Copy
Commercial company delivering content for personalized medicine in the areas of Biomarker Services, Biomarker Assays, Isobaric and Isotopic Reagents and Proprietary Biomarkers. A global leader in applied proteomics, they use high sensitivity proprietary technologies to detect biomarkers (differentially expressed proteins in diseases) and to develop rapid assays for testing. The biomarkers discovered in body fluids or tissues are validated, developed and commercialized as diagnostic, prognostic or therapeutic products through strategic alliances and out-licensing.
Proper citation: Proteome Sciences (RRID:SCR_004106) Copy
http://www.thebindingsite.com/
Company provides specialist diagnostic products to clinicians and laboratory professionals worldwide. Specialist protein company committed to research, development, manufacture and distribution of immunodiagnostic assays for global laboratory market. Specialized in antibody specificity technology, Binding Site gives clinicians and laboratory staff tools to significantly improve diagnosis and management of those patients with specific cancers and immune disorders. Binding Site manufactures wide range of products for plasma protein analysis including Freelite, Hevylite and SPAplus.
Proper citation: Binding Site (RRID:SCR_004051) Copy
An independent pan-European clinical research organization to improve the standards of cancer care through the multidisciplinary multinational efforts of basic scientists and clinicians. The efforts include the testing of more effective therapeutic strategies based on drugs, surgery and/or radiotherapy that are already in use. They also contribute to the development of new drugs and other approaches in partnership with the pharmaceutical industry which is accomplished mainly by conducting large, multicenter, prospective, randomized, phase III clinical trials. The EORTC Network comprises over 300 hospitals and cancer centers in over 30 countries which include some 2,500 collaborators from all disciplines involved in cancer treatment and research. The EORTC Headquarters staff handle some 6,000 new patients enrolled each year in cancer clinical trials, approximately 30 protocols that are permanently open to patient entry, over 50,000 patients who are in follow-up, and a database of more than 180,000 patients. Intergroup collaboration is also promoted to face current challenges of clinical trials aiming at targeted therapies in order to recruit a large number of patients within a reasonable period of time.
Proper citation: EORTC (RRID:SCR_004070) 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://odin.mdacc.tmc.edu/~xsu1/VirusSeq.html
An algorithmic software tool for detecting known viruses and their integration sites using next-generation sequencing of human cancer tissue. VirusSeq takes FASTQ files (paired-end reads) as input.
Proper citation: VirusSeq (RRID:SCR_005206) Copy
http://snpeff.sourceforge.net/
Genetic variant annotation and effect prediction software toolbox that annotates and predicts effects of variants on genes (such as amino acid changes). By using standards, such as VCF, SnpEff makes it easy to integrate with other programs.
Proper citation: SnpEff (RRID:SCR_005191) Copy
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://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://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://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://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
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
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