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http://slicer.org/

A free, open source software package for visualization and image analysis including registration, segmentation, and quantification of medical image data. Slicer provides a graphical user interface to a powerful set of tools so they can be used by end-user clinicians and researchers alike. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X. Slicer is based on VTK (http://public.kitware.com/vtk) and has a modular architecture for easy addition of new functionality. It uses an XML-based file format called MRML - Medical Reality Markup Language which can be used as an interchange format among medical imaging applications. Slicer is primarily written in C++ and Tcl.

Proper citation: 3D Slicer (RRID:SCR_005619) Copy   

•   Source: SciCrunch Registry

http://jjwanglab.org:8080/gwasdb/

Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3)

Proper citation: GWASdb (RRID:SCR_006015) Copy   

•   Source: SciCrunch Registry

https://proteomecommons.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication.

Proper citation: Proteome Commons (RRID:SCR_006234) Copy   

•   Source: SciCrunch Registry

http://ligand-expo.rutgers.edu/

An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components.

Proper citation: Ligand Expo (RRID:SCR_006636) Copy   

•   Source: SciCrunch Registry

http://www.peptideatlas.org

Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database.

Proper citation: PeptideAtlas (RRID:SCR_006783) Copy   

•   Source: SciCrunch Registry

http://pid.nci.nih.gov

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 27, 2016. Curated database of information about known biomolecular interactions and key cellular processes assembled into signaling pathways. All interactions are assembled into pathways, and can be accessed by performing searches for biomolecules, or processes, or by viewing predefined pathways. This was a collaborative project between the NCI and Nature Publishing Group (NPG) from 2006 until September 22nd, 2012, and is no longer being updated. PID is aimed at the cancer research community and others interested in cellular pathways, such as neuroscientists, developmental biologists, and immunologists. The database focuses on the biomolecular interactions that are known or believed to take place in human cells. It can be browsed as an online encyclopedia, used to run computational analyses, or employed in ways that combine these two approaches. In addition to PID''''s predefined pathways, search results are displayed as dynamically constructed interaction networks. These features of PID render it a useful tool for both biologists and bioinformaticians. PID offers a range of search features to facilitate pathway exploration. Users can browse the predefined set of pathways or create interaction network maps centered on a single molecule or cellular process of interest. In addition, the batch query tool allows users to upload long list(s) of molecules, such as those derived from microarray experiments, and either overlay these molecules onto predefined pathways or visualize the complete molecular connectivity map. Users can also download molecule lists, citation lists and complete database content in extensible markup language (XML) and Biological Pathways Exchange (BioPAX) Level 2 format. The database is supplemented by a concise editorial section that includes specially written synopses of recent important research articles in areas related to cancer research, and specially commissioned Bioinformatics Primers that provide practical advice on how to make the most of other relevant online resources. The database and editorial content are updated monthly, and users can opt to receive a monthly email alert to stay informed about new content. Note: as of September 23, 2012 the PID is no longer being actively curated. NCI will maintain the PID website and data for twelve months beyond September 2012 to allow interested parties to obtain the previously curated data before the site is retired in September 2013.

Proper citation: Pathway Interaction Database (RRID:SCR_006866) Copy   

•   Source: SciCrunch Registry

http://seer.cancer.gov/

SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.

Proper citation: Surveillance Epidemiology and End Results (RRID:SCR_006902) Copy   

•   Source: SciCrunch Registry

http://www.cidr.jhmi.edu/

Next generation sequencing and genotyping services provided to investigators working to discover genes that contribute to disease. On-site statistical geneticists provide insight into analysis issues as they relate to study design, data production and quality control. In addition, CIDR has a consulting agreement with the University of Washington Genetics Coordinating Center (GCC) to provide statistical and analytical support, most predominantly in the areas of GWAS data cleaning and methods development. Completed studies encompass over 175 phenotypes across 530 projects and 620,000 samples. The impact is evidenced by over 380 peer-reviewed papers published in 100 journals. Three pathways exist to access the CIDR genotyping facility: * NIH CIDR Program: The CIDR contract is funded by 14 NIH Institutes and provides genotyping and statistical genetic services to investigators approved for access through competitive peer review. An application is required for projects supported by the NIH CIDR Program. * The HTS Facility: The High Throughput Sequencing Facility, part of the Johns Hopkins Genetic Resources Core Facility, provides next generation sequencing services to internal JHU investigators and external scientists on a fee-for-service basis. * The JHU SNP Center: The SNP Center, part of the Johns Hopkins Genetic Resources Core Facility, provides genotyping to internal JHU investigators and external scientists on a fee-for-service basis. Data computation service is included to cover the statistical genetics services provided for investigators seeking to identify genes that contribute to human disease. Human Genotyping Services include SNP Genome Wide Association Studies, SNP Linkage Scans, Custom SNP Studies, Cancer Panel, MHC Panels, and Methylation Profiling. Mouse Genotyping Services include SNP Scans and Custom SNP Studies.

Proper citation: Center for Inherited Disease Research (RRID:SCR_007339) Copy   

•   Source: SciCrunch Registry

http://www.nia.nih.gov/research/dab/aged-rodent-tissue-bank-handbook/tissue-arrays

Offer high-throughput analysis of tissue histology and protein expression for the biogerontology research community. Each array is a 4 micron section that includes tissue cores from multiple tissues at multiple ages on one slide. The arrays are made from ethanol-fixed tissue and can be used for all techniques for which conventional tissue sections can be used. Ages are chosen to span the life from young adult to very old age. (available ages: 4, 12, 18, 24 and 28 months of age) Images of H&E stained punches are available for Liver, Cardiac Muscle, and Brain. The NIA aged rodent tissue arrays were developed with assistance from the National Cancer Institute (NCI) Tissue Array Research Program (TARP), led by Dr. Stephen Hewitt, Director. NCI TARP contains more information on tissue array construction, protocols for using arrays, and references. Preparation and Product Description Tissue arrays are prepared in parallel from different sets of animals so that experiments can be conducted in duplicate, with each array using unique animals with a unique product number. The product descriptions page describes each array, including: * Strain * Gender * Ages * Tissues * Animal Identification Numbers

Proper citation: Aged Rodent Tissue Arrays (RRID:SCR_007332) Copy   

•   Source: SciCrunch Registry

https://ostr.ccr.cancer.gov/resources/provider_details/nci-mouse-repository

The NCI Mouse Repository cryoarchives and distributes strains of genetically engineered mice that are of immediate interest to the cancer research community. These are either gene-targeted or transgenic mice that display a cancer-related phenotype, or tool strains (e.g., cre transgenics) that can be used to develop new cancer models. You do not have to be a member of the NCI Mouse Repository or a recipient of NCI funding to have your mouse model distributed through the NCI Mouse Repository. NCI Mouse Repository strains are maintained as live colonies or cryoarchived as frozen embryos, depending on demand. Up to three breeder pairs may be ordered from live colonies. Cryoarchived strains are supplied as frozen embryos or recovery of live mice by the NCI Mouse Repository may be requested.

Proper citation: NCI Mouse Repository (RRID:SCR_002264) Copy   

•   Source: SciCrunch Registry

http://www.genenetwork.org/

Web platform that provides access to data and tools to study complex networks of genes, molecules, and higher order gene function and phenotypes. Sequence data (SNPs) and transcriptome data sets (expression genetic or eQTL data sets). Quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. Used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Users are welcome to enter their own private data.

Proper citation: GeneNetwork (RRID:SCR_002388) 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://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

https://www.npatlas.org

Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.

Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy   

•   Source: SciCrunch Registry