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http://dctd.cancer.gov/

Division of NCI that takes prospective cancer detection and treatment leads, facilitates their paths to clinical application, and expedites the initial and subsequent large-scale testing of new agents, biomarkers, imaging tests, and other therapeutic interventions (radiation, surgery, immunotherapy) in patients. DCTD, like all of NCI, supports many programs that could not be done without government funding - investigators supported by the division engage in scientifically sound, high-risk research that may yield great benefits for patients with cancer, but are too difficult or risky for industry or academia to pursue. This includes a particular emphasis on the development of distinct molecular signatures for cancer, refined molecular assays, and state-of-the-art imaging techniques that will guide oncologic therapy in the future. The division has eight major programs that work together to bring unique molecules, diagnostic tests, and therapeutic interventions from the laboratory bench to the patient bedside: * Cancer Diagnosis Program * Cancer Imaging Program * Cancer Therapy Evaluation Program * Developmental Therapeutics Program * Radiation Research Program * Translational Research Program * Biometrics Research Branch * Office of Cancer Complementary and Alternative Medicine

Proper citation: DCTD (RRID:SCR_004196) Copy   

•   Source: SciCrunch Registry

http://discover.nci.nih.gov/gominer/

GoMiner is a tool for biological interpretation of "omic" data including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question, What does it all mean biologically? To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research. GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways: * In the form of a tree, similar to that in AmiGO * In the form of a "Directed Acyclic Graph" (DAG) The program also provides: * Quantitative and statistical analysis * Seamless integration with important public databases GoMiner uses the databases provided by the GO Consortium. These databases combine information from a number of different consortium participants, include information from many different organisms and data sources, and are referenced using a variety of different gene product identification approaches.

Proper citation: GoMiner (RRID:SCR_002360) Copy   

•   Source: SciCrunch Registry

https://github.com/plaisier-lab/sygnal

Software pipeline to integrate correlative, causal and mechanistic inference approaches into unified framework that systematically infers causal flow of information from mutations to TFs and miRNAs to perturbed gene expression patterns across patients. Used to decipher transcriptional regulatory networks from multi-omic and clinical patient data. Applicable for integrating genomic and transcriptomic measurements from human cohorts.

Proper citation: SYGNAL (RRID:SCR_023080) Copy   

•   Source: SciCrunch Registry

https://github.com/qianli10000/mtradeR

Software R package implements Joint model with Matching and Regularization and simulation pipeline. Used to test association between taxa and disease risk, and adjusted for correlated taxa screened by pre-selection procedure in abundance and prevalence, individually.

Proper citation: mtradeR (RRID:SCR_022977) Copy   

•   Source: SciCrunch Registry

https://github.com/Shenhav-and-Korem-labs/SCRuB

Software R package to help researchers address common issue of contamination in microbial studies. Well aware MiSeq decontamination program.

Proper citation: SCRuB (RRID:SCR_023518) Copy   

•   Source: SciCrunch Registry

https://github.com/genome/bam-readcount

Software tool that runs on BAM or CRAM file and generates low level information about sequencing data at specific nucleotide positions. Its outputs include observed bases, readcounts, summarized mapping and base qualities, strandedness information, mismatch counts, and position within the reads.

Proper citation: bam readcount (RRID:SCR_023653) Copy   

•   Source: SciCrunch Registry

https://www.sbpdiscovery.org/biomedical-research/shared-resources/cancer-metabolism

Facility that aims to investigate role of metabolism in cancer on cellular and organismal level, combining in vitro and in vivo analysis. Comprehensive metabolic facility, including stable isotope tracing and flux analysis. Provides analysis of metabolism using specialist instruments and methodologies, together with advice on planning experiments and analyzing data. All instruments and approaches are available on fee-for-service basis to Cancer Center scientists, but alsoto outside users. Samples for most services can be shipped, but Seahorse analyzer users need to be local so they can bring live cells for analysis.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute Cancer Metabolism Core Facility (RRID:SCR_014873) Copy   

•   Source: SciCrunch Registry

http://www.salk.edu/science/core-facilities/integrative-genomics-and-bioinformatics-core/

Core facility established to assist the Salk community with integrating genomics data into their research. The primary focus of the core is to provide analysis support for next-generation sequencing applications.

Proper citation: Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility (IGC) (RRID:SCR_014842) Copy   

•   Source: SciCrunch Registry

https://www.nationwidechildrens.org/research/areas-of-research/biopathology-center/about

Provides services related to biospecimen procurement, banking, processing, and distribution. Housed biospecimen collections are from biorepositories of National Cancer Institute funded Children’s Oncology Group, NRG Oncology-Columbus (formerly the GOG Tissue Bank), SWOG, Pediatric Division of Cooperative Human Tissue Network, and Biospecimen Core Resource of Center for Cancer Genomics, as well as numerous biospecimen collections sponsored by funded NCH investigators. Cooperative Human Tissue Network is one of six institutions funded by National Cancer Institutes to access to remnant human tissues for biomedical researchers throughout the United States and Canada. Offers expertise in tissue preparation and preservation to meet the research needs of basic and applied scientists.

Proper citation: Nationwide Children’s Hospital Abigail Wexner Research Institute Biopathology Center Core Facility (RRID:SCR_023260) Copy   

•   Source: SciCrunch Registry

https://health.ucdavis.edu/cancer/research/sharedresources/biostatistics.html

Provides expertise in design, analysis and reporting of cancer related studies, including basic, translational, clinical and population based research. BSR affiliated faculty and staff work with investigators from the earliest stages of study planning. The shared resource is especially committed to mentoring early career cancer researchers.

Proper citation: University of California Davis Health Biostatistics Shared Resource Core Facility (RRID:SCR_023585) Copy   

•   Source: SciCrunch Registry

https://health.ucdavis.edu/cancer/research/sharedresources/combichem.html

Provides high throughput screening platform to discover unique chemical probes against biological targets using various one bead one compound and one bead two compound combinatorial libraries.Interacts closely with resource users on optimization of the lead compounds via focused libraries and standard medicinal chemistry techniques. Provides custom synthesis of telodendrimer based micellar nanoparticle platform for efficient drug delivery.

Proper citation: University of California Davis Health Combinatorial Chemistry and Chemical Biology Shared Resource Core Facility (RRID:SCR_023584) Copy   

•   Source: SciCrunch Registry

https://health.ucdavis.edu/cancer/research/sharedresources/cmp.html

Provides services to support the development and implementation of clinical trials at UC Davis Comprehensive Cancer Center. Oversees high quality collection, processing, and analysis of clinical specimens,typically but not exclusively blood specimens, for pharmacokinetic and pharmacodynamics studies. Conducts preclinical modeling of novel anti cancer agents to test hypotheses and develop scientific rationale required for translation of laboratory concepts into clinical trials, including assessment of DM/PK/PD properties.

Proper citation: University of California Davis Health Molecular Pharmacology Shared Resource Core Facility (RRID:SCR_023588) Copy   

•   Source: SciCrunch Registry

https://med.stanford.edu/cancer/research/shared-resources/biostatistics_research_informatics.html

Core provides statistical support to SCI members by engages them on their data related needs. Specifically, BSR members assist researchers at each stage of study’s lifecycle, including project design, mid study evaluation and interpretation and reporting of results. In addition, BSR members mentor SCI investigators in research methods. BSR assists with development and review of proposed studies and planning of research related data management systems.

Proper citation: Stanford University School of Medicine Cancer Institute Biostatistics Shared Resource Core Facility (RRID:SCR_023696) Copy   

•   Source: SciCrunch Registry

https://github.com/broadinstitute/ichorCNA

Software tool that quantifies tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations. Used to simultaneously segment genome, predict large scale copy number alterations, and estimate tumor fraction of ultra low pass whole genome sequencing sample.

Proper citation: ichorCNA (RRID:SCR_024768) Copy   

•   Source: SciCrunch Registry

https://maayanlab.cloud/drugmonizome/#/

Database with search engine for querying annotated sets of drugs and small molecules for performing drug set enrichment analysis.

Proper citation: Drugmonizome (RRID:SCR_024821) Copy   

•   Source: SciCrunch Registry

http://www.med.nyu.edu/ocs/cytometry-and-cell-sorting-core

Facility provides cytometry and cell sorting services. Services include immunophenotyping, cell cycle analysis, and intracellular fluorophore detection. Services can be tailored to research needs, certified cytometrists are available to help plan experiments. Offers online and hands-on training in use of cell analyzers and analysis software.

Proper citation: New York University School of Medicine Langone Cytometry and Cell Sorting Core Facility (RRID:SCR_018827) Copy   

•   Source: SciCrunch Registry

https://biotech.wisc.edu/age/

Provides services and expertise to unlock genome editing tools to advance your research. Routinely generates new genome edited models, particularly mouse, rats, swine, and cell lines, as well as supports in vivo editing, novel preclinical therapeutic strategies, pooled lentiCRISPR screening, and other applications.

Proper citation: University of Wisconsin-Madison Advanced Genome Editing Laboratory (RRID:SCR_021070) Copy   

•   Source: SciCrunch Registry

https://fccf.mskcc.org/

Provides advanced instrumentation as well as high level technical and scientific expertise in multi dimensional Flow Cytometry and Cell Sorting, to facilitate science, improve the quality, and advance the scope of MSK research.

Proper citation: Memorial Sloan Kettering Cancer Center Flow Cytometry Core Facility (RRID:SCR_021105) Copy   

•   Source: SciCrunch Registry

https://cancer.dartmouth.edu/scientists-researchers/mouse-modeling

Supports generation and utilization of genetically modified mice, design and production of genetic constructs with methods including yeast and E.coli recombineering, ES cell targeting (transfection, drug selection, and expansion). Produces transgenic mice: DNA injections into oocytes, ES cell injections into blastocysts.Provides humanized immune system mouse models.Offers start to finish experiment services to assist your many needs, please ask for more info.Other services include animal husbandry, IP and IV injections, blood drawing, necropsy and surgeries- embryo transfers, ovariectomy, vasectomy, tumor removal.

Proper citation: Dartmouth Geisel School of Medicine Mouse Modeling Core Facility (RRID:SCR_021284) Copy   

•   Source: SciCrunch Registry

https://cancer.dartmouth.edu/scientists-researchers/molecular-biology-resource

Genomics Section provides services and instrumentation that enable DNA/RNA extraction and quality control, next-generation Illumina and Nanopore sequencing, epigenetic profiling, and microarray analysis on a whole-genome scale, from the level organisms to single cells. Molecular Biology Section provides DNA fragment analysis qPCR, Sanger sequencing and NanoString Technology.

Proper citation: Dartmouth Genomics and Molecular Biology Shared Resource (GMBSR) (RRID:SCR_021293) Copy   

•   Source: SciCrunch Registry