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https://genomics.ccr.cancer.gov/

Core provides access to genomic technologies and Next-Generation Sequencing. Provides DNA and RNA quality control services, user accessible instrumentation, training, consultation services, bioinformatics support, and secure data delivery management.

Proper citation: NCI Center for Cancer Research Genomics Core Facility (RRID:SCR_024754) Copy   

•   Source: SciCrunch Registry

http://xgc.nci.nih.gov/

NIH initiative to support production of cDNA libraries, clones and 5'/3' sequences and to provide set of full-length (open reading frame) sequences and cDNA clones of expressed genes for Xenopus laevis and Xenopus tropicalis. Clones distribution is outsourced to for profit companies. Project concluded in September 2008. Resources generated by XGC are publicly accessible to biomedical research community. All sequences are deposited into GenBank.Corresponding clones are available through IMAGE clone distribution network. With conclusion of XGC project, GenBank records of XGC sequences will be frozen, without further updates. Since knowledge of what constitutes full-length coding region for some of genes and transcripts for which we have XGC clones will likely change in future, users planning to order XGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).

Proper citation: Xenopus Gene Collection (RRID:SCR_007023) Copy   

•   Source: SciCrunch Registry

http://zgc.nci.nih.gov/

Part of zebrafish genome project. ZGC project to produce cDNA libraries, clones and sequences to provide complete set of full-length (open reading frame) sequences and cDNA clones of expressed genes for zebrafish. All ZGC sequences are deposited in GenBank and clones can be purchased from distributors of IMAGE consortium. With conclusion of ZGC project in September 2008, GenBank records of ZGC sequences will be frozen, without further updates. Since definition of what constitutes full-length coding region for some of genes and transcripts for which we have ZGC clones will likely change in future, users planning to order ZGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).

Proper citation: Zebrafish Gene Collection (RRID:SCR_007054) Copy   

•   Source: SciCrunch Registry

http://seer.cancer.gov/resources/

Portal provides SEER research data and software SEER*Stat and SEER*Prep. SEER incidence and population data associated by age, sex, race, year of diagnosis, and geographic areas can be used to examine stage at diagnosis by race/ethnicity, calculate survival by stage at diagnosis, age at diagnosis, and tumor grade or size, determine trends and incidence rates for various cancer sites over time. SEER releases new research data every Spring based on the previous November’s submission of data.

Proper citation: SEER Datasets and Software (RRID:SCR_003293) Copy   

•   Source: SciCrunch Registry

http://cgf.nci.nih.gov

With remarkable advances in genomic technologies, the National Cancer Institute established the Core Genotyping Facility (CGF) to investigate the contribution of germline genetic variation to cancer susceptibility and outcomes. Working in concert with epidemiologists, biostatisticians and basic research scientists in the intramural research program, the CGF has developed the capacity to conduct genome-wide association studies and candidate gene approaches to identify the heritable determinants of various forms of cancer. In order to ensure the accuracy and timely completion of all CGF provided operations, the following Information Systems were developed. While the investigator does not have direct access to these systems, their availability to CGF staff members greatly aids in their querying and reporting capabilities. In turn this provides benefit to the investigator by providing the most up to date reporting possible. The Core Genotyping Facility (CGF) offers a wide variety of sample preparation and genotyping operations. All samples received must meet minimum requirements and are taken through the Sample Handling pipeline prior to completing any genotyping. The Sample Handling pipeline includes DNA quantification and genetic fingerprinting. Also offered are Whole Genome Amplification (WGA) assays, to get the most yield out of low quantity DNA samples. Theirr genotyping products cover a wide-range of assay sizes. The CGF operates the Illumina BeadLab system which supports Illumina assay technologies including the whole genome genotyping Infinium assays, custom GoldenGate OPA assays, and Custom Infinium (iSelect) assays. In addition, the CGF offers Affymetrix GeneChip arrays and uniplex TaqMan genotyping. Sponsors: CGF is supported by the SAIC-Frederick. :Keywords: Genomic, Technology, Cancer, Genotyping, Germline, Genetic, Epidemiologist, Biostatistician, Research, Gene, Assay, Genotype, Pipeline, Genome, DNA, :

Proper citation: Core Genotyping Facility (RRID:SCR_008438) Copy   

•   Source: SciCrunch Registry

https://discover.nci.nih.gov/cellminer/

Database and query tool designed for cancer research community to facilitate integration and study of molecular and pharmacological data for the NCI-60 cancerous cell lines. The NCI-60, panel of 60 diverse human cancer cell lines used by the Developmental Therapeutics Program of the U.S. National Cancer Institute to screen over 100,000 chemical compounds and natural products since 1990.

Proper citation: CellMiner (RRID:SCR_025648) Copy   

•   Source: SciCrunch Registry

https://discover.nci.nih.gov/

Provides pharmacogenomics resource for study of cancer. Multiple tools are available, currently including the CellMiner family with CellMiner, CellMinerCDB (cross data-base), CellMinerCDB: Small Cell Lung Cancer (SCLC), CellMinerCDB: National Center for Advancing Translational Sciences (NCATS) andCellMinerCDB: Sarcoma. These sites include multiple cancerous cell lines sets and data types. In addition there is CIMMiner for cluster image maps and MIMminer, with several scholarly molecular interaction maps.

Proper citation: National Cancer Institute Genomics and Pharmacology Core Facility (RRID:SCR_025664) Copy   

•   Source: SciCrunch Registry

https://healthcaredelivery.cancer.gov/seermedicare/considerations/calculation.html

Portal provides SAS Macros to calculate comorbidity weights. Used to assist SEER-Medicare investigators with their analyses. NCI recommends use of the 2021 macro. The 2014 and 2000 versions are provided for those needing to reproduce prior results. These macros offer the option of including Medicare hospital (MedPAR) claims only, or also considering physician (NCH) and outpatient claims. The Rule-Out option is recommended in the latter situation. Note that diagnoses using ICD-10 codes, starting in October 2015, are not included in the 2000 and 2014 macros. NCI does not accept responsibility for the completeness or accuracy of the codes and weights used in the macros. Investigators may modify the macros if they wish to include different diagnosis codes or condition weights.

Proper citation: NCI Division of Cancer Control and Population Sciences SEER-Medicare Comorbidity SAS Macros (RRID:SCR_025810) Copy   

•   Source: SciCrunch Registry