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

Provides specimens with annotated data for clinical and basic science research purposes.Biorepository functions as centralized tissue bank to provide researchers access to cancer- and non-cancer-related specimens including fresh or frozen tissue, paraffin blocks,sections and fluids, procured and stored using international standards of best practices and protocols compliant with Office for Human Research Protection. Specimens can be obtained prospectively as part of clinical trials or accessed through UC Davis Health Clinical Laboratories, where over 5.5 million blood specimens are processed annually.

Proper citation: University of California Davis Health Biorepository Shared Resource Core Facility (RRID:SCR_023583) Copy   

•   Source: SciCrunch Registry

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

Provides access to in vivo imaging technologies including molecular imaging, optical imaging, quantitative physiologic and anatomic imaging, and whole body PET/CT scanning in humans and animals. Provides targeted imaging probes and tracers as well as expertise in planning, executing and analyzing in vivo imaging studies. Supports imaging studies in small animals, large animals and humans.This resource is located in three adjacent buildings in the Health Sciences district of the Davis campus:Center for Molecular and Genomic Imaging (CMGI), Genome and Biomedical Sciences Facility (small-animal imaging);Nuclear Magnetic Resonance (NMR) Facility, Tupper Hall (small-animal MRI);Center for Imaging Sciences (CIS), Veterinary School (large-animal imaging).

Proper citation: University of California Davis Health In Vivo Translational Imaging Shared Resource Core Facility (RRID:SCR_023589) Copy   

•   Source: SciCrunch Registry

https://ctl.cornell.edu/industry/mrdetect-license-request/

Software application to estimate presence of MRD in plasma cfDNA WGS through evaluation of matched tumour-derived mutations (SNVs or CNVs).

Proper citation: MRDetect (RRID:SCR_024766) Copy   

•   Source: SciCrunch Registry

https://scimap.xyz

Software toolkit for analyzing spatial molecular data. Underlying framework is generalizable to spatial datasets mapped to XY coordinates. Package uses anndata framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. Python based implementation efficiently deals with large datasets of millions of cells.

Proper citation: scimap (RRID:SCR_024751) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/whs-sd-atlas/

Open access volumetric atlas of anatomical delineations of rat brain based on structural contrast in isotropic magnetic resonance and diffusion tensor images acquired ex vivo from 80 day old male Sprague Dawley rat at Duke Center for In Vivo Microscopy. Spatial reference is provided by Waxholm Space coordinate system. Location of bregma and lambda are identified as anchors towards stereotaxic space. Application areas include localization of signal in non structural images. Atlas, MRI and DTI volumes, and diffusion tensor data are shared in NIfTI format.

Proper citation: Waxholm Space Atlas of the Sprague Dawley Rat Brain (RRID:SCR_017124) Copy   

•   Source: SciCrunch Registry

https://signalingpathways.org

Web multi omics knowledgebase based upon public, manually curated transcriptomic and cistromic datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Integrated omics knowledgebase for mammalian cellular signaling pathways. Web browser interface was designed to accommodate numerous routine data mining strategies. Datasets are biocurated versions of publically archived datasets and are formatted according to recommendations of the FORCE11 Joint Declaration on Data Citation Principles73, and are made available under Creative Commons CC 3.0 BY license. Original datasets are available.

Proper citation: Signaling Pathways Project (RRID:SCR_018412) Copy   

•   Source: SciCrunch Registry

http://software.broadinstitute.org/gsea/msigdb/index.jsp

Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.

Proper citation: Molecular Signatures Database (RRID:SCR_016863) Copy   

•   Source: SciCrunch Registry

https://wan-bioinfo.shinyapps.io/GESS/

Database of global evaluation of SARS-CoV-2/hCoV-19 sequences.Provides comprehensive analysis results based on tens of thousands of high-coverage and high-quality SARS-CoV-2 complete genomes.

Proper citation: GESS (RRID:SCR_021847) Copy   

•   Source: SciCrunch Registry

http://www.midasplatform.org/

Open-source toolkit that enables the rapid creation of tailored, web-enabled data storage and provides a cohesive system for data management, visualization, and processing. At its core, Midas Platform is implemented as a PHP modular framework with a backend database (PostGreSQL, MySQL and non-relational databases). While the Midas Platform system can be installed and deployed without any customization, the framework has been designed with customization in mind. As building one system to fit all is not optimal, the framework has been extended to support plugins and layouts. Through integration with a range of other open-source toolkits, applications, or internal proprietary workflows, Midas Platform offers a solid foundation to meet the needs of data-centric computing. Midas Platform provides a variety of data access methods, including web, file system and DICOM server interfaces, and facilitates extending the methods in which data is stored to other relational and non-relational databases.

Proper citation: Midas Platform (RRID:SCR_002186) Copy   

•   Source: SciCrunch Registry

https://www.roswellpark.edu/shared-resources/gene-targeting-and-transgenic

Facility which provides researchers with transgenic mouse technologies, methods, and animal models. Knockout mice, transgenic mice, and mice on multiple strain backgrounds are provided.

Proper citation: RPCI Gene Targeting and Transgenic Shared Resource (RRID:SCR_001020) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/genetics/dnaseq/index.shtml

Core facility that provides the following services: Large sequencing project support, Sanger sequencing service, High throughput DNA sequencing, Ion Torrent Personal Genome Machine sequencing, Template preparation and purification, Roche 454 sequencing, Sequence analysis and database search support, Construction of targeting vector for gene targeting, Genotyping and Fragment Analysis service, Molecular biology services, Mouse genotyping, and Ion Personal Genome Machine sequencing data analysis. The DNA Sequencing Facility provides long read, automated Sanger sequencing; microsatellite-based genotyping and fragment analysis; plasmid and BAC DNA preparation and purification; and related molecular biological services including PCR, cloning, sub-cloning, site-directed mutagenesis, and preparation of targeting vectors for gene targeting in mice. Core also provides services and support for analysis and interpretation of sequence data as well as the design of approaches to complex sequencing projects. For the last four years the facility has been providing Roche 454 sequencing service that includes library preparation, emulsion PCR and pyrosequencing for both genomic DNA and amplicons.

Proper citation: University of Pennsylvania Genomics Analysis Core (RRID:SCR_011061) Copy   

•   Source: SciCrunch Registry

https://reprint-apms.org/?q=chooseworkflow

Database of Mass Spectrometry contaminants and pipeline for Affinity Purification coupled with Mass Spectrometry analysis. Contaminant repository for affinity purification mass spectrometry data. Database of standardized negative controls. Used to identify protein-protein interactions.

Proper citation: CRAPome (RRID:SCR_025008) Copy   

•   Source: SciCrunch Registry

https://github.com/GregorySchwartz/too-many-cells

Software suite of tools, algorithms, and visualizations focusing on relationships between cell clades. This includes new ways of clustering, plotting, choosing differential expression comparisons. Identifies and visualizes relationships of single-cell clades.

Proper citation: TooManyCells (RRID:SCR_025328) Copy   

•   Source: SciCrunch Registry

https://github.com/willtownes/glmpca

Software R package for dimension reduction of non-normally distributed data. Generalized PCA for non-normally distributed data.

Proper citation: glmpca (RRID:SCR_025517) Copy   

•   Source: SciCrunch Registry

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

Web application integrating cancer cell line pharmacogenomics. Enables exploration and analysis of cancer cell line pharmacogenomic data across different sources. Focuses on cancer patient-derived human cell line molecular and pharmacological data. CellMinerCDB (v1.2) includes several improvements.

Proper citation: CellMinerCDB (RRID:SCR_025649) Copy   

•   Source: SciCrunch Registry

https://www.borch.dev/uploads/screpertoire/

Software R toolkit for analyzing single-cell immune repertoire profiling. Used for single-cell immune receptor analysis.

Proper citation: scRepertoire (RRID:SCR_025691) Copy   

•   Source: SciCrunch Registry

https://github.com/czc/nb_distribution

Software tool to discover somatic and germline structural variation breakpoints in whole genome sequencing data. Can report accurate breakpoints of Deletions, Duplications, Inversions and Translocations. Designed for Illumina paired-end data. Local assembly for breakpoint detection in cancer genomes.

Proper citation: NovoBreak (RRID:SCR_026032) Copy   

•   Source: SciCrunch Registry

https://github.com/hms-dbmi/UpSetR

Software R package for visualization of intersecting sets and their properties.

Proper citation: UpSetR (RRID:SCR_026112) Copy   

•   Source: SciCrunch Registry

https://github.com/NCI-CGR/PLP_prediction_workflow/tree/autogvp

Software tool integrates ClinVar variant annotation with modified InterVar classification approach, based on American College of Medical Genetics-Association for Molecular Pathology guidelines, to output germline variant classification. Since AutoGVP input only requires VCF file, it can facilitate large-scale, clinically focused classification of germline sequence variants.

Proper citation: AutoGVP (RRID:SCR_026107) Copy   

•   Source: SciCrunch Registry

https://genie.cbioportal.org/

International data-sharing consortium focused on generating an evidence base for precision cancer medicine by integrating clinical-grade cancer genomic data with clinical outcome data of cancer patients treated at multiple institutions worldwide.

Proper citation: AACR GENIE cBioPortal (RRID:SCR_026217) Copy   

•   Source: SciCrunch Registry