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http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl

Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.

Proper citation: Exon Array Browser (RRID:SCR_008712) Copy   

•   Source: SciCrunch Registry

https://genome-cancer.ucsc.edu/

A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.

Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy   

•   Source: SciCrunch Registry

http://www.cravat.us/

A web-based application designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis.

Proper citation: CRAVAT (RRID:SCR_012776) Copy   

•   Source: SciCrunch Registry

https://pancreatlas.org/

Collection of human pancreas data and images. Platform to share data from human pancreas samples. Houses reference datasets from human pancreas samples, achieved through generosity of organ donors and their families.

Proper citation: Pancreatlas (RRID:SCR_018567) Copy   

•   Source: SciCrunch Registry

https://www.robotreviewer.net/

Software tool as machine learning system that automatically assesses bias in clinical trials. From PDF formatted trial report determines risks of bias for domains defined by Cochrane Risk of Bias (RoB) tool, and extracts supporting text for these judgments.

Proper citation: Robot Reviewer (RRID:SCR_018961) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/annotare/

A software tool for annotating biomedical investigations and the resulting data, then producing a MAGE-TAB file. This software is a standalone desktop which features: an editor function, an annotation modifier, incorporation of terms from biomedical ontologies, standard templates for common experiment types, a design aid to help create a new document, and a validator that checks for syntactic and semantic violations.

Proper citation: Annotare (RRID:SCR_000319) Copy   

•   Source: SciCrunch Registry

https://www.unmc.edu/vcr/cores/vcr-cores/confocal-microscopy/index.html

Facility houses imaging technologies ranging from super resolution (~ 0.120 um to 0.020 um) to microscopic (~ 0.300 um) to mesoscopic (~ 1 um) biomedical imaging. Imaging specialists provide training and/or actively assist researchers collecting images across imaging instrumentation. Instrumentation includes Zeiss ELYRA PS.1 is inverted microscope for super resolution (SR) structured illumination microscopy (SIM) and single molecule localization microscopy (SMLM) including, PhotoActivated Localization Microscopy (PALM) using photo switchable/convertible fluorescent proteins, Total Internal Reflection Fluorescence (TIRF) and STochastic Optical Reconstruction Microscopy (STORM);Zeiss 800 CLSM with Airyscan is an inverted microscope dramatically increasing conventional confocal image resolution to ~180 nm using Airyscan technology; Zeiss 710 LSM is inverted microscope supporting most basic imaging applications, multi channel and spectral, co localization, live cell, 3D, and time series imaging; Zeiss Celldiscoverer 7 is widefield imaging system for automated, time lapse imaging of live samples; Zeiss Axioscan 7 is high performance whole slide scanning system for fluorescence, brightfield, and polarization imaging;Miltenyi Biotec Ultramicroscope II Light Sheet fluorescence microscope (LSFM) extends fluorescent imaging into true 3D, large scale volumetric imaging of intact tissues, organs, and small organisms. AMCF also houses several high-end data analysis workstations with premier image analysis software including HALO (Indica Labs) and IMARIS (Oxford Instruments) facilitating data rendering, analyses, and presentation options.

Proper citation: University of Nebraska Medical Center Advanced Microscopy Core Facility (RRID:SCR_022467) Copy   

•   Source: SciCrunch Registry

https://www.utsouthwestern.edu/labs/qlmc/

Provides access to variety of microscope modalities including laser scanning and spinning disk confocal, multiphoton, wide field deconvolution, CFP/YFP FRET, TIRF, single molecule imaging, and more. Offers customized microscopy training, advise and help with sample preparation, image quantification, and offer basic microscope maintenance. Can streamline your data handling and image visualization as well as automate your image analysis workflow through customized Fiji macros.

Proper citation: University of Texas Southwestern Medical Center Quantitative Light Microscopy Core Facility (RRID:SCR_022605) 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/QTIM-Lab/DeepNeuro

Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners.

Proper citation: DeepNeuro (RRID:SCR_016911) 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/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/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

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

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