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http://firebrowse.org/

Portal provides access to cancer genomic data from variety of analyses: clinical, copy number, miR, miRseq, mRNA, mRNAseq, mutation and pathway analyses. Provides comprehensive suite of interdependent analyses of those data, including: correlations, clustering, and GISTIC and MutSigCV. Companion portal to the Broad Institute GDAC Firehose analysis pipeline, and was developed to cull and analyze data generated by The Cancer Genome Atlas (TCGA), which characterizes and identifies genomic patterns in human cancer models.

Proper citation: FireBrowse (RRID:SCR_026320) 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://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://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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://bioinformatics.oxfordjournals.org/content/early/2014/01/02/bioinformatics.btt759.abstract?sid=e62f3c2b-26dc-428b-ba24-99e92a277d77

Statistical software to estimate tumor purity, ploidy and absolute copy numbers from next generation sequencing data.

Proper citation: AbsCN-seq (RRID:SCR_006409) Copy   

•   Source: SciCrunch Registry

http://cdmrp.army.mil/

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   

•   Source: SciCrunch Registry

http://www.proteinatlas.org/

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   

•   Source: SciCrunch Registry

http://www.merck.com/

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   

•   Source: SciCrunch Registry

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.fnih.org/

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   

•   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