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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   

•   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://omrf.org/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://cancer.ucsf.edu/research/cores/biostatistics

The Biostatistics Core provides statistical support for cancer-related research at UCSF, focusing particulary on applications in clinical trials and population studies. The Computational Biology Core supports applications to genomics, genetics and molecular biology. Core faculty have expertise in study design, protocol and proposal development and review, data analysis, and publication of results. Support for Cancer Center investigators participating in established Site Committees is typically handled by the faculty member assigned to that committee. Other requests can be directed to the consulting service request page maintained by the UCSF Clinical & Translational Science Institute (CTSI). These requests will then be assigned to a Core faculty member. Basic consulting services are generally provided free of charge to Cancer Center Members. Members requiring frequent assistance are encouraged to provide regular salary support to a Core statistician when possible to support more extensive requests and for long-term projects. Services: * Study Design * Guidance on Study Conduct * Data Analysis and Reporting of Study Results * Teaching resources

Proper citation: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core (RRID:SCR_005701) 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.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   

•   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

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

http://bg.upf.edu/transfic/home

A method to transform Functional Impact scores taking into account the differences in basal tolerance to germline SNVs of genes that belong to different functional classes.

Proper citation: TransFIC (RRID:SCR_010788) 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