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http://www.genepattern-notebook.org/

Interactive analysis notebook environment that streamlines genomics research by interleaving text, multimedia, and executable code into unified, sharable, reproducible “research narratives.” It integrates the dynamic capabilities of notebook systems with an investigator-focused, simple interface that provides access to hundreds of genomic tools without the need to write code.

Proper citation: GenePattern Notebook (RRID:SCR_015699) 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://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a collaborative project between the NCI and Nature Publishing Group (NPG) from 2006 until September 22nd, 2012, and is no longer being updated.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.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://www.tarp.nih.gov/

Trans-NIH program encouraging and facilitating the study of the underlying mechanisms controlling blood vessel growth and development. Other aims include: to identify specific targets and to develop therapeutics against pathologic angiogenesis in order to reduce the morbidity due to abnormal blood vessel proliferation in a variety of disease states; to better understand the process of angiogenesis and vascularization to improve states of decreased vascularization; to encourage and facilitate the study of the processes of lymphangiogenesis; and to achieve these goals through a multidisciplinary approach, bringing together investigators with varied backgrounds and varied interests.

Proper citation: Trans-Institute Angiogenesis Research Program (RRID:SCR_000384) Copy   

•   Source: SciCrunch Registry

http://www.pbtc.org/

The PEDIATRIC BRAIN TUMOR CONSORTIUM (PBTC) is a multidisciplinary cooperative research organization devoted to the study of correlative tumor biology and new therapies for primary CNS tumors of childhood. PBTC's mission is to contribute rapidly and effectively to the understanding and cure of these tumors through the conduct of multi-center, multidisciplinary, innovative studies with designs and analyses based on uniformly high quality statistical science. While the primary mission of the PBTC is to identify through laboratory and clinical science superior treatment strategies for children with brain cancers, the PBTC investigators recognize their profound responsibility to meet the special needs of the children and families as they face this enormous challenge. Members are committed to working within their institutions and communities to improve support services and follow up care for these patients and their families. The PBTC's primary objective is to rapidly conduct novel phase I and II clinical evaluations of new therapeutic drugs, new biological therapies, treatment delivery technologies and radiation treatment strategies in children from infancy to 21 years of age with primary central nervous system (CNS) tumors. A second objective is to characterize reliable markers and predictors (direct or surrogate) of brain tumors' responses to new therapies. The Consortium conducts research on brain tumor specimens in the laboratory to further understand the biology of pediatric brain tumors. A third objective is to develop and coordinate innovative neuro-imaging techniques. Through the PBTC's Neuro-Imaging Center, formed in May 2000, research to evaluate new treatment response criteria and neuro-imaging methods to understand regional brain effects is in progress. These imaging techniques can also advance understanding of significant neuro-toxicity in a developing child's central nervous system. The Neuro-Imaging Center is supported in part by private sources - grants from foundations and non-profit organizations - in addition to the NCI. As an NCI funded Consortium, the Pediatric Brain Tumor Consortium (PBTC) is required to make research data available to other investigators for use in research projects. An investigator who wishes to use individual patient data from one or more of the Consortium's completed and published studies must submit in writing a description of the research project, the PBTC studies from which data are requested, the specific data requested, and a list of investigators involved with the project and their affiliated research institutions. A copy of the requesting investigator's CV must also be provided. Participating Institutions: Children's Hospital of Philadelphia, Children's National Medical Center (Washington, DC), Children's Memorial Hospital (Chicago), Duke University, National Cancer Institute, St. Jude Children's Research Hospital, Texas Children's Cancer Center, University of California at San Francisco, and University of Pittsburgh.

Proper citation: Pediatric Brain Tumor Consortium (RRID:SCR_000658) Copy   

•   Source: SciCrunch Registry

http://www.px.nsls.bnl.gov/

Biomedical technology research center that creates optimal facilities and environments and support for macromolecular structure determination by synchrotron X-ray diffraction at the National Synchrotron Light Source for the benefit of outside and in-house investigators. The PXRR innovates new access modes such as Mail-in crystallography, builds new facilities, currently on the X25 undulator, advances automation, develops remote participation software, collaborates with outside groups, teaches novice users, and supports vising investigators with 7-day, 20-hours staff coverage.

Proper citation: Macromolecular Crystallography Research Resource (RRID:SCR_001442) 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

http://cancer.osu.edu/Pages/index.aspx

As the Midwest''s first and Ohio''s only fully dedicated cancer hospital and research institute, The Ohio State University Comprehensive Cancer CenterArthur G. James Cancer Hospital and Solove Research Institute (OSUCCC-James) is one of the nation''s premier cancer centers for the prevention, detection and treatment of cancer. The OSUCCC-James is one of only 40 centers in the United States designated by the National Cancer Institute a Comprehensive Cancer Center. In addition, the OSUCCC-James is a founding member of the National Comprehensive Cancer Network (NCCN), an alliance of 21 of the world''s leading cancer centers that develops clinical practice guidelines to improve the quality and effectiveness of care provided to patients with cancer. The Ohio State cancer program is part of The Ohio State University, the largest public university in the nation. We are affiliated with The Ohio State University Medical Center, one of the largest and most diverse academic medical centers in the nation and the only academic medical center in central Ohio. The cancer program at Ohio State encompasses more than 200 comprehensive cancer center members from 13 of the 18 colleges at The Ohio State University and includes physicians from 16 specialties. The OSUCCCJames'' singular focus on cancer has led to multiple accomplishments that have changed the standards of care with respect to prevention, diagnosis and treatment, in a way that substantially improves outcomes for cancer patients.

Proper citation: OSUCCC-James (RRID:SCR_004790) Copy   

•   Source: SciCrunch Registry

http://pdbml.pdb.org/

Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available.

Proper citation: Protein Data Bank Markup Language (RRID:SCR_005085) Copy   

•   Source: SciCrunch Registry

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://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