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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.cse-lab.ethz.ch/index.php?&option=com_content&view=article&id=363
Software tool for automated analysis of monolayer wound healing assays. Available as a stand alone application for Macintosh and Windows and as a source code. Offers a graphical user interface for inspection of analysis results and manual modification of analysis parameters., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Tscratch (RRID:SCR_014282) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 23, 2017.
Annotated database of fluorescence microscope images depicting subcellular location proteins with two interfaces: a text and image content search interface, and a graphical interface for exploring location patterns grouped into Subcellular Location Trees. The annotations in PSLID provide a description of sample preparation and fluorescence microscope imaging.
Proper citation: Protein Subcellular Location Image Database (RRID:SCR_008663) Copy
http://www.cancerimagingarchive.net/
Archive of medical images of cancer accessible for public download. All images are stored in DICOM file format and organized as Collections, typically patients related by common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Neuroimaging data sets include clinical outcomes, pathology, and genomics in addition to DICOM images. Submitting Data Proposals are welcomed.
Proper citation: Cancer Imaging Archive (TCIA) (RRID:SCR_008927) Copy
Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible
Proper citation: EGAN: Exploratory Gene Association Networks (RRID:SCR_008856) Copy
http://www.ncbi.nlm.nih.gov/sites/GeneTests/lab
The GeneTests Web site, a publicly funded medical genetics information resource developed for physicians, other healthcare providers, and researchers, is available at no cost to all interested persons. By providing current, authoritative information on genetic testing and its use in diagnosis, management, and genetic counseling, GeneTests promotes the appropriate use of genetic services in patient care and personal decision making. At This Site: * GeneReviews: Expert-authored peer-reviewed disease descriptions * Laboratory Directory: International directory of genetic testing laboratories * Clinic Directory: International directory of genetics and prenatal diagnosis clinics * Educational Materials: Illustrated glossary, information on genetic services, PowerPoint presentations, annotated Internet resources We comply with the HONcode standard for trustworthy health information.
Proper citation: GeneTests (RRID:SCR_010725) Copy
http://proteogenomics.musc.edu/ma/musc_madb.php?page=home&act=manage
Database that is a repository for DNA microarray data generated by MUSC investigators as well as researchers in the global research community.
Proper citation: MUSC DNA Microarray Database (RRID:SCR_010977) Copy
http://caintegrator-info.nci.nih.gov/rembrandt
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Repository of molecular brain neoplasia data (RRID:SCR_004704) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 17, 2021. Database to store, annotate, view, analyze and share microarray data. It provides registered users access to their own data, provides users access to public data, and tools with which to analyze those data, to any public user anywhere in the world. The GenePattern software package has been incorporated directly into SMD, providing access to many new analysis tools, as well as a plug-in architecture that allows users to directly integrate and share additional tools through SMD. This extension is available with the SMD source code that is fully and freely available to others under an Open Source license, enabling other groups to create a local installation of SMD with an enriched data analysis capability. SMD search options allow the user to Search By Experiments, Search By Datasets, or Search By Gene Names. Web services are provided using common standards, such as Simple Object Access Protocol (SOAP). This enables both local and remote researchers to connect to an installation of the database and retrieve data using pre-defined methods, without needing to resort to use of a web browser.
Proper citation: SMD (RRID:SCR_004987) Copy
http://www.webarraydb.org/webarray/index.html
An open source integrated microarray database and analysis suite that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion. It allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters.
Proper citation: WebArrayDB (RRID:SCR_005577) Copy
http://edwardslab.bmcb.georgetown.edu/ws/peptideMapper/
The PeptideMapper Web-Service provides alignments of peptide sequence alignments to proteins, mRNA, EST, and HTC sequences from Genbank, RefSeq, UniProt, IPI, VEGA, EMBL, and HInvDb. This mapping infrastructure is supported, in part, by the compressed peptide sequence database infrastructure (Edwards, 2007) which enables a fast, suffix-tree based mapping of peptide sequences to gene identifiers and a gene-focused detailed mapping of peptide sequences to source sequence evidence. The PeptideMapper Web-Service can be used interactively or as a web-service using either HTTP or SOAP requests. Results of HTTP requests can be returned in a variety of formats, including XML, JSON, CSV, TSV, or XLS, and in some cases, GFF or BED; results of SOAP requests are returned as SOAP responses. The PeptideMapper Web-Service maps at most 20 peptides with length between 5 and 30 amino-acids in each request. The number of alignments returned, per peptide, gene, and sequence type, is set to 10 by default. The default can be changed on the interactive alignments search form or by using the max web-service parameter.
Proper citation: PeptideMapper (RRID:SCR_005763) Copy
http://www.chemnavigator.com/cnc/services/SCSORS_Overview.asp
ChemNavigator has extended its agreement with NCI to include the development of a new Semi-Custom Synthesis On-line Request System (SCSORS), funded mostly by NCI with additional financial support from the NIH Chemical Genomics Center (NCGC). The new SCSORS project will provide the NIH access to the world''s supply of synthetic chemistry available for drug discovery. Once fully formed, SCSORS will provide a strategy for all NIH scientists to circulate requests for specific chemical samples among thousands, if not tens of thousands, of synthetic chemists at suppliers registered in the system. Sample quantities will range from milligram up to kilogram scale requests. Suppliers will be provided tools that allow them to review these requests and make proposals to NIH scientists for the synthesis of substances. It is expected that using the SCSORS strategy will allow the NIH to acquire chemical samples at less than 10% of the internal cost of synthesis while offering access to world wide chemical expertise and diversity. Once fully implemented, SCSORS will become an archive of commercially accessible custom chemistry products for pharmaceutical research. It is expected that this database of commercially accessible substances will grow to over 250 million substances in the coming two years.
Proper citation: SCSORS - Semi-Custom Synthesis On-line Request System (RRID:SCR_005636) Copy
http://cgap.nci.nih.gov/Genes/GOBrowser
With the CGAP GO browser, you can browse through the GO vocabularies, and find human and mouse genes assigned to each term. GO data updated every few months. Platform: Online tool
Proper citation: CGAP GO Browser (RRID:SCR_005676) Copy
https://lsom.uthscsa.edu/dcsa/research/cores-facilities/optical-imaging/
Service resource which makes imaging technology available to investigators on UTHSCSA campus and neighboring scientific community. Core Optical Imaging Facility offers access to technology for imaging of living cells, tissues, and animals, consultation, education and assistance regarding theory and application of optical imaging techniques, technical advice on specimen preparation techniques and probe selection.
Proper citation: Texas University Health Science Center at San Antonio Long School of Medicine Department of Cell Systems and Anatomy Optical Imaging Core Facility (RRID:SCR_012171) Copy
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
https://www.moffitt.org/research-science/shared-resources/tissue/
Biorepository resource with mission of proper collection, handling, processing and storage of irreplaceable biological specimens to support spectrum of related basic science, translational and clinical research. Provides expertise in nucleic acid extractions, quantification, aliquoting and quality assurance; liquid specimen centrifugation, processing and aliquoting; histological tissue processing, immunohistochemistry and tissue microarray microtomy; pathologist consultation services. Tissue Core operations are divided into four distinct pillars of service that work collaboratively to ensure specimen quality is maintained from procurement to preservation.
Proper citation: Moffitt Cancer Center Tissue Core Facility (RRID:SCR_012364) Copy
https://www.mskcc.org/research/ski/core-facilities/monoclonal-antibody-core-facility
ABCF can provide MAbs from established hybridomas for RESEARCH PURPOSES ONLY, can assist in generating MAbs, offers a weekly mycoplasmal contamination screening service for tissue culture samples, distributes cell lines developed at Memorial Sloan Kettering Cancer Center and Rockefeller University.
Proper citation: Memorial Sloan Kettering Cancer Center Antibody and Bioresource Core Facility (RRID:SCR_017691) Copy
Core mass spec and proteomic services include open access lab for trained users with GC/MS, LC/MS, high resolution LC/MS, and MALDI-TOF instruments, help with intact protein analysis, targeted quantitation, drug discovery support, pathway analysis, protein interactions, FFPE tissue analysis, both labeled and label-free proteomics, and more. Please contact SUMS to discuss these and other custom projects including new application development.
Proper citation: Stanford University Vincent Coates Foundation Mass Spectrometry Laboratory Core Facility (RRID:SCR_017801) Copy
http://rhlccflow.facilities.northwestern.edu
Provides 6 cell sorters and 5 benchtop analyzers. Helps investigators to define their projects in the early stages of development to make optimal and efficient use of flow cytometry. Educates ALL users (faculty and staff) in the science and technology of flow cytometry.
Proper citation: Northwestern University Cancer Center Flow Cytometry Core Facility (RRID:SCR_017766) Copy
http://cancer.northwestern.edu/research/shared-resources/pathology-core-facility.html
Centralized, comprehensive, core laboratory providing histology, immunohistochemistry, molecular analysis and extraction and microscopic evaluation services for human tissue-based studies. Serves integral marker studies that require biomarker-based treatment arm assignment. Performs procurement of fresh biospecimens for clinical trials and biobanking.
Proper citation: Northwestern University School of Medicine Lurie Cancer Center Pathology Core Facility (RRID:SCR_017769) Copy
https://geodacenter.github.io/
Software program for spatial analysis for non geographic information systems specialists. Includes functionality ranging from simple mapping to exploratory data analysis, visualization of global and local spatial autocorrelation, and spatial regression.
Proper citation: GeoDa (RRID:SCR_018559) Copy
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