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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

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://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

http://www.medinadiscovery.com/

A non-profit research center established through a public-private alliance between the Regional government of Andalusia, the pharmaceutical company Merck Sharp & Dohme Spain S.A. (MSD), and the University of Granada, that is focused on: # Discovery of new compounds and therapies as new leads for drug development # Contract Research Services: High throughput screening services for lead discovery, ADME/TOX, bioanalysis and metabolomics MEDINA offers 1) natural products screening services for lead discovery on therapeutic targets developed by the customers and 2) compound profiling services for their drug candidates, using a counterscreening panel designed to determine potential risks in cardiovascular safety and drug-drug interactions.

Proper citation: MEDINA Foundation (RRID:SCR_004079) Copy   

•   Source: SciCrunch Registry

http://hcc.musc.edu/research/resources/biorepository/

The Hollings Cancer Center Tissue Biorepository & Research Pathology Services Shared Resource provides investigators with a centralized infrastructure that promotes biomedical research involving the use and study of human biospecimens. The shared resource is comprised of four integrated components: Biospecimens and data bank, Laser Capture Microdissection, Tissue Microarray, and Research Pathology Services. These components, along with extensive staff expertise, offer a comprehensive means by which researchers can utilize valuable human biospecimens and cutting edge technology to support basic, translational and clinical research. Services: * Biospecimen and Data Bank ** Collecting, processing, and banking of tissue, saliva, urine, blood, plasma, serum, and other tissue derivatives; including those for protocol driven studies ** Retrieval of banked specimens linked to clinicopathologic data, while maintaining patient confidentiality, for research use ** Quality control of collected tissue by the Tissue Biorepository Director, a trained pathologist: verification of diseased state and assessment of tumor purity, etc ** Quality control of DNA/RNA/protein isolated from collected tissue using the Agilent Bioanalyzer * Laser Capture Microdissection ** Identification, localization, and microdissection of targeted cell populations (from human and animal tissue sources) ** Extraction of DNA/RNA/protein from microdissected samples. ** Quality analysis and quality control of isolated nucleic acid using Agilent Bioanalyzer * Tissue Microarray ** Create custom and standard TMAs ** Consultation and technical support in the construction and analyses of TMA * Research Pathology Services ** Macrodissection of tissue prior to isolation of DNA/RNA/protein to increase tumor purity ** Immunohistochemistry and In-situ hybridization ** Quantitative image analysis on conventional and TMA sections, including tissue scoring, Ki-67 labeling index, microvascular density counting, and tissue microarray scoring, etc. * Bio-molecular Assessment ** Cellular DNA, RNA and protein prepared by the Tissue Repository from banked specimens or any other biomolecules submitted by investigators can be qualitatively assessed by Agilent Bioanalyzer, prior to use for downstream applications such as microarray and/or qRT-PCR analysis

Proper citation: Hollings Cancer Center Tissue Biorepository and Research Pathology Services Shared Resource (RRID:SCR_004626) Copy   

•   Source: SciCrunch Registry

http://www.zfatlas.psu.edu/

Atlas containing 2- and 3-dimensional, anatomical reference slides of the lifespan of the zebrafish to support research and education worldwide. Hematoxylin and eosin histological slides, at various points in the lifespan of the zebrafish, have been scanned at 40x resolution and are available through a virtual slide viewer. 3D models of the organs are reconstructed from plastic tissue sections of embryo and larvae. The size of the zebrafish, which allows sections to fall conveniently within the dimensions of the common 1 x 3 glass slide, makes it possible for this anatomical atlas to become as high resolution as for any vertebrate. That resolution, together with the integration of histology and organ anatomy, will create unique opportunities for comparisons with both smaller and larger model systems that each have their own strengths in research and educational value. The atlas team is working to allow the site to function as a scaffold for collaborative research and educational activity across disciplines and model organisms. The Zebrafish Atlas was created to answer a community call for a comprehensive, web-based, anatomical and pathological atlas of the zebrafish, which has become one of the most widely used vertebrate animal models globally. The experimental strengths of zebrafish as a model system have made it useful for a wide range of investigations addressing the missions of the NIH and NSF. The Zebrafish Atlas provides reference slides for virtual microscopic viewing of the zebrafish using an Internet browser. Virtual slide technology allows the user to choose their own field of view and magnification, and to consult labeled histological sections of zebrafish. We are planning to include a complete set of embryos, larvae, juveniles, and adults from approximately 25 different ages. Future work will also include a variety of comparisons (e.g. normal vs. mutant, normal vs. diseased, multiple stages of development, zebrafish with other organisms, and different types of cancer)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Zebrafish Atlas (RRID:SCR_006722) Copy   

•   Source: SciCrunch Registry

http://www.karmanos.org/cordblood

The J.P. McCarthy Cord Stem Cell Bank at the Karmanos Cancer Institute is a public, non-profit stem cell bank with over 1,200 umbilical cord blood units in its inventory. The bank was founded in 2001 and is one of only 21 internationally recognized cord stem cell banks affiliated with the National Marrow Donor Program. The only bank of its kind in Michigan, it was created in anticipation of providing life-saving hope to people who have been diagnosed with cancer and serious blood disorders. Karmanos collects, processes and stores donated umbilical cord blood that becomes a readily available source of hematopoietic stem cells for transplant in children and adults with leukemia, lymphoma, sickle cell disease or other life-threatening conditions. The J.P. McCarthy Cord Blood Bank and Carls Processing Laboratory is also accredited by the Foundation for the Accreditation of Cellular Therapy (FACT). The accreditation signifies the highest standards of practice in collection, processing and transplantation. Karmanos is the only FACT accredited cord blood bank in Michigan and one of only nine in the United States. In the Detroit Metropolitan area, the number of hospitals participating in the collection of cord blood is rapidly increasing. Please consider donating your baby''s cord blood if you are delivering at one of our participating hospitals: Henry Ford Wyandotte Hospital in Wyandotte, MI, Providence Park Hospital in Novi, MI, St. Joseph Mercy Hospital in Ann Arbor

Proper citation: JP McCarthy Cord Stem Cell Bank (RRID:SCR_004540) Copy   

•   Source: SciCrunch Registry

http://www.grc.nia.nih.gov/

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Intramural Research Program (RRID:SCR_012734) Copy   

•   Source: SciCrunch Registry

http://oncokb.org

Precision oncology knowledge base which contains information about the effects and treatment implications of specific cancer gene alterations. OncoKB contains detailed information about specific alterations in 418 cancer genes. Each variant entry contains biological effect, prevalence, prognostic information, and treatment implications. Information is curated from various sources, such as guidelines from the FDA, ClinicalTrials.gov, and scientific literature by a network of clinical fellows, research fellows, and faculty members at Memorial Sloan Kettering Cancer Center.

Proper citation: OncoKB (RRID:SCR_014782) Copy   

•   Source: SciCrunch Registry

https://proteomics.cancer.gov/programs/cptac

Clinical proteomic tumor analysis consortium to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, in order to understand molecular basis of cancer that is not possible through genomics and to accelerate translation of molecular findings into clinic. Operates through Proteome Characterization Centers, Proteogenomic Translational Research Centers, and Proteogenomic Data Analysis Centers. CPTAC investigators collaborate, share data and expertise across consortium, and participate in consortium activities like developing standardized workflows for reproducible studies.

Proper citation: CPTAC (RRID:SCR_017135) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/oncotator

A tool for annotating human genomic point mutations and indels with data relevant to cancer researchers. Genomic Annotations, Protein Annotations, and Cancer Annotations are aggregated from many resources. A standalone version of Oncotator is being developed.

Proper citation: Oncotator (RRID:SCR_005183) Copy   

•   Source: SciCrunch Registry

http://lomalindahealth.org/medical-center/our-services/cancer-center/cancer-resource-center/biospecimen-laboratory.html

The Loma Linda University Cancer Center Biospecimen Laboratory provides specimens for researchers as they search for the causes of cancer, and look for new means of prevention and treatment. The specimens include tissues, blood products (blood cell, plasma and serum) and bone marrow cells. Researchers interested in gaining access to the Biospecimen Laboratory''s samples should email Dr. Saied Mirshahidi, requesting access. The number and types of samples we have available for research can be viewed, http://www.llu.edu/catissuesummary/. Use the Biospecimen Laboratory Tissue Request Form to request specimens for research studies.

Proper citation: Loma Linda University Cancer Center Biospecimen Laboratory (RRID:SCR_004767) Copy   

•   Source: SciCrunch Registry

https://www.jax.org/jax-mice-and-services/in-vivo-pharmacology/mouse-tumor-biology-database

Database supports use of mouse model system for human cancer by providing comprehensive resource for data and information on various tumor models.

Proper citation: Mouse Tumor Biology Database (RRID:SCR_006517) Copy   

•   Source: SciCrunch Registry

http://www.iiserpune.ac.in/~coee/histome/

Database of human histone variants, sites of their post-translational modifications and various histone modifying enzymes. The database covers 5 types of histones, 8 types of their post-translational modifications and 13 classes of modifying enzymes. Many data fields are hyperlinked to other databases (e.g. UnprotKB/Swiss-Prot, HGNC, OMIM, Unigene etc.). Additionally, this database also provides sequences of promoter regions (-700 TSS +300) for all gene entries. These sequences were extracted from the UCSC genome browser. Sites of post-translational modifications of histones were manually searched from PubMed listed literature. Current version contains information for about ~50 histone proteins and ~150 histone modifying enzymes. HIstome is a combined effort of researchers from two institutions, Advanced Center for Treatment, Research and Education in Cancer (ACTREC), Navi Mumbai and Center of Excellence in Epigenetics (CoEE), Indian Institute of Science Education and Research (IISER), Pune.

Proper citation: HIstome: The Histone Infobase (RRID:SCR_006972) Copy   

•   Source: SciCrunch Registry

http://epi.grants.cancer.gov/CFR/

The Breast Cancer Family Registry (Breast CFR) and the Colon Cancer Family Registry (Colon CFR) were established by the National Cancer Institute (NCI) as a unique resource for investigators to use in conducting studies on the genetics and molecular epidemiology of breast and colon cancer. Known collectively as the CFRs, they share a central goal: the translation of research to the clinical and prevention settings for the benefit of Registry participants and the general public. The CFRs are particularly interested in: * Identifying and characterizing cancer susceptibility genes; * Defining gene-gene and gene-environment interactions in cancer etiology; and * Exploring the translational, preventive, and behavioral implications of research findings. The CFRs do not provide funding for studies; however, researchers can apply to access CFR data and biospecimens contributed by thousands of families from across the spectrum of risk for these cancers and from population-based or relative controls. Special features of the CFRs include: * Population-based and clinic-based ascertainment; * Systematic collection of validated family history; * Epidemiologic risk factor , clinical, and followup data; * Biospecimens (including tumor blocks and Epstein-Barr virus (EBV)-transformed cell lines); * Ongoing molecular characterization of the participating families; and * A combined informatics center.

Proper citation: NCI Breast and Colon Cancer Family Registries (RRID:SCR_006664) Copy   

•   Source: SciCrunch Registry

http://clinicalinformatics.stanford.edu/services/biobank.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 7th, 2023. An online, searchable record of biospecimen attributes and storage location for the following three biobanks at Stanford: * The Bone Marrow Transplant (BMT) program * The Hematology biospecimen bank is a research sample repository focusing on blood, plasma and bone marrow, primarily from leukemia patients. * Cancer Center Pathology Core: The Stanford Comprehensive Cancer Center Tissue Bank stores research samples of both solid tumor and blood from cancer patients, with an emphasis on prostate. As of November 2009, the system contains data on 50,000 biospecimens stored in multiple banks at Stanford. An anonymous Biospecimen Locator allows Stanford researchers to search the STRIDE Virtual Biospecimen Bank for suitable samples without having to know, or expose, any protected patient-specific information. Having determined that suitable specimens exist in one of the constituent biospecimens banks, the researcher can generate a Web-based request form to obtain additional information from the appropriate bank operator(s). Access to specimens is restricted to Stanford Faculty and Staff or affiliates., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: STRIDE Virtual Biospecimen Bank (RRID:SCR_008667) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000674.v1.p1

Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated.

Proper citation: Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) Copy   

•   Source: SciCrunch Registry