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http://www.c2b2.columbia.edu/danapeerlab/html/jistic.html

Software tool for analyzing datasets of genome-wide copy number variation to identify driver aberrations in cancer.

Proper citation: JISTIC (RRID:SCR_003482) Copy   

•   Source: SciCrunch Registry

http://www.lyonbiopole.com/index-en.html

A worldwide competitiveness cluster centered on pharmaceutical activities including the fight against human and animal infectious diseases and cancers. Designed as a tool interface and public / private approximation, the division has implemented measures to encourage collaborative R & D, help in setting up projects and find funding, increase strategic and financial partnerships for economic development and international companies, provide access to reception areas, technological shared platforms such as the Infectious Diseases Center Lyonbiop��le. It aims to strengthen the competitiveness of the sector health and the attractiveness of the Rh��ne-Alpes area, mainly on the Lyon-Grenoble axis. (adapted from the translated Wikipedia)

Proper citation: Lyonbiopole (RRID:SCR_003733) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.oncotest.com/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.capitalbiosciences.com/

Biological products including Cell Immortalization Products, Clinically Defined Human Tissue, cDNA ORF Clones, Premade Adenoviruses, Purified Proteins, Viral Expression Systems and others as well as services like Custom Recombinant Adenovirus Production, Custom Recombinant Lentivirus Production, Protein Detection and Quantification and Stable Cell Line Production for academic and governmental research institutes, pharmaceutical and biotechnology industry. Capital Biosciences offers most types of human tissues, normal and diseased, with extensive clinical history and follow up information. Standard specimen format: Snap-frozen(flash-frozen), Formalin fixed and paraffin embedded (FFPE) tissues, Blood and blood products, Bone marrow, Total RNA, Genomic DNA, Total Proteins, Primary cell cultures, Viable frozen tissue. Tumor tissue samples include: Bladder cancer, Glioblastoma, Medulloblastoma, Breast Carcinoma, Cervical Cancer, Colorectal Cancer, Endometrial Cancer, Esophageal Cancer, Head and Neck (H&N) Carcinoma, Hepatocellular Carcinoma (HCC), Hodgkin's lymphoma, Kidney, Renal Cell Carcinoma, Lung Cancer, Non-Small Cell (NCSLC), Lung Cancer, Small Cell (SCLC), Melanoma, Mesothelioma, non-Hodgkin's Lymphoma, Ovarian Adenocarcinoma, Pancreatic Cancer, Prostate Cancer, Stomach Cancer.

Proper citation: Capital Biosciences (RRID:SCR_004879) Copy   

•   Source: SciCrunch Registry

http://www.sbtf.org/home.html

Founded in 1995, the Southeastern Brain Tumor Foundation (SBTF), a 501c3 not-for-profit charitable foundation, is devoted to improve the quality of life for brain tumor patients and their families. By offering information, education and support services, we aspire to instill hope, knowledge and comfort to all involved. The Southeastern Brain Tumor Foundation also raises funds for research and medical personnel so that a cure can be found. For over a decade, the SBTF has become a well-known fundraising entity supporting critical, cutting edge brain tumor research at major medical centers in the Southeast. Our annual Race for Research held in Atlanta, Georgia each summer, is our main fundraising event popular throughout Atlanta and the surrounding metropolitan area and has funded over $1.2 million dollars in research grants to leading researchers at major medical centers throughout the Southeast over the past decade. We are proud of our dedicated, all volunteer Board of Directors who meet monthly. Our Board is a diverse group comprised of individuals who''ve been touched by brain tumors in many different ways. Ranging from patients and family members to healthcare professionals; we are all committed to promoting the awareness of brain tumors in the community, communicating with patients and families and raising critical funds for research grants furthering advancements in the treatment of brain tumors. Our monthly support group, lead by a nurse practitioner, welcomes patients and their families to sit side by side with each other, share their experiences, communicate and receive support. As a neurosurgeon-scientist focused on the treatment of patients with brain tumors, I am committed to advancing the mission of SBTF forward in the fight against brain tumors. Our ability to serve the brain tumor community is dependent on each of you. Whether you support us with a financial donation in our fundraising efforts or with your time as a volunteer, each of you are a vital and integral part of our success and we thank you.

Proper citation: Southeastern Brain Tumor Foundation (RRID:SCR_004768) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/gatk/gatkdocs/org_broadinstitute_sting_gatk_walkers_indels_SomaticIndelDetector.html

Tool for calling indels in Tumor-Normal paired sample mode.

Proper citation: SomaticIndelDetector (RRID:SCR_005107) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://cancer.ucsf.edu/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/NPO

An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.

Proper citation: NanoParticle Ontology (RRID:SCR_010369) Copy   

•   Source: SciCrunch Registry