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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.
THIS RESOURCE IS NO LONGER IN SERVICE. Doumented on September 23,2022. The National Cancer Institute initially established the Cooperative Prostate Cancer Tissue Resource (CPCTR) to provide prostate cancer tissue samples with clinical annotation to researchers. The Resource provides access to formalin-fixed, paraffin-embedded primary prostate cancer tissue with associated clinical and follow-up data for research studies, particularly studies focused on translating basic research findings into clinical application. Fresh-frozen tissue is also available with limited clinical follow up information since these are more recent cases. The Resource database contains pathologic and clinical information linked to a large collection of prostate tissue specimens that is available for research. Researchers can determine whether the Resource has the tissues and patient data they need for their individual research studies. Consultation and interpretive services: Assistance is available from trained CPCTR pathologists. The CPCTR can provide consultative assistance in staining interpretation, and scoring, on a collaborative basis. Fresh Frozen and Paraffin Tissue: The resource has over 7,000 annotated cases (including 7,635 specimens and 38,399 annotated blocks). Tissue Microarrays (TMA): The CPCTR has slides from prostate cancer TMAs with associated clinical data. The information provided for each case on the arrays (derived from radical prostatectomy specimens) includes: age at diagnosis, race, PSA at diagnosis, tumor size, TNM stage, Gleason score and grade, and vital status and other variables.
Proper citation: CPCTR: Cooperative Prostate Cancer Tissue Resource (RRID:SCR_000803) Copy
http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome
Data analysis service whose programs search protein databases using a protein query. The algorithms used include blastp, psi-blast, phi-blast, and delta-blast.
Proper citation: BLASTP (RRID:SCR_001010) Copy
Data analysis service that predicts protein subcellular localizations of animal, fungal, plant, and human proteins based on sequence similarity and gene ontology information.
Proper citation: WegoLoc (RRID:SCR_001402) Copy
https://www.orthanc-server.com/
Open source lightweight DICOM server for medical imaging.Vendor neutral archive to automate and optimize imaging flows. Can be extended with plugins that provide solutions for teleradiology, digital pathology, or enterprise ready databases.
Proper citation: Orthanc (RRID:SCR_024145) Copy
The National Science Foundation's Graduate Research Fellowship Program (GRFP) helps ensure the vitality of the human resource base of science and engineering in the United States and reinforces its diversity. The program recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines who are pursuing research-based master's and doctoral degrees in the U.S. and abroad. The NSF welcomes applications from all qualified students and strongly encourages under-represented populations, including women, under-represented racial and ethnic minorities, and persons with disabilities, to apply for this fellowship. Fellows share in the prestige and opportunities that become available when they are selected. Fellows benefit from a three-year annual stipend of $30,000 along with a $10,500 cost of education allowance for tuition and fees, a one-time $1,000 international travel allowance and the freedom to conduct their own research at any accredited U.S., or foreign institution of graduate education they choose. NSF Fellows are anticipated to become knowledge experts who can contribute significantly to research, teaching, and innovations in science and engineering. So that the nation can build fully upon the strength and creativity of a diverse society, the Foundation welcomes applications from all qualified individuals. Women, under-represented minorites and people with disabilities are encouraged to apply. Those with disabilities are additionally accommodated by the Foundation to provide for the most successful graduate experience possible. Sponsors: This program is supported by the National Science Foundation (NSF).
Proper citation: National Science Foundation Graduate Research Fellowship Program (RRID:SCR_001487) Copy
Ratings or validation data are available for this resource
NDRI is a Not-For-Profit (501c3) Corporation dedicated to providing the highest quality human biomaterials for research. NDRI makes it easy for researchers to get the human tissues and organs they need, prepared, preserved and shipped precisely according to their specific scientific protocols, as quickly as possible, and in the largest available quantities. NDRI provides researchers with protocol specific human neurological tissues such as brain stem, spinal cord, and basal ganglia, among others. In addition to control specimens, NDRI recovers tissues from donors with a variety of diseases, including Down syndrome, Parkinsons disease, Alzheimers disease, schizophrenia, and dementia. Through the NDRI 24/7 referral and procurement system, research consented biospecimens can be provided from low post mortem interval donors preserved at 4ºC, frozen or snap frozen, fixed, paraffin embedded, or as unstained slides.
Proper citation: National Disease Research Interchange (RRID:SCR_000550) Copy
A web-based genome analysis platform that integrates proprietary functional genomic data, metabolic reconstructions, expression profiling, and biochemical and microbiological data with publicly available information. Focused on microbial genomics, it provides better and faster identification of gene function across all organisms. Building upon a comprehensive genomic database integrated with a collection of microbial metabolic and non-metabolic pathways and using proprietary algorithms, it assigns functions to genes, integrates genes into pathways, and identifies previously unknown or mischaracterized genes, cryptic pathways and gene products. . * Automated and manual annotation of genes and genomes * Analysis of metabolic and non-metabolic pathways to understand organism physiology * Comparison of multiple genomes to identify shared and unique features and SNPs * Functional analysis of gene expression microarray data * Data-mining for target gene discovery * In silico metabolic engineering and strain improvement
Proper citation: ERGO (RRID:SCR_001243) Copy
Open source software network communication interface for image guided interventions.Provides plug-and-play unified real-time communications in operating rooms for image-guided interventions, where imagers, sensors, surgical robots,and computers from different vendors work cooperatively to ensure seamless data flow among those components and enable a closed loop process of planning, control, delivery, and feedback.
Proper citation: OpenIGTLink (RRID:SCR_024148) Copy
http://www.itmat.upenn.edu/cohsi.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Informatics core for the purpose of promoting clinical research by collecting data from the Penn Health System.
Proper citation: Penn Community Outreach Using Health System Informatics Core (RRID:SCR_000304) Copy
http://www.spinal-research.org/
Spinal Research committed to funding international research into cure for spinal cord paralysis. Charity that funds medical research for treating and curing spinal cord paralysis. Supports basic science, clinical research and funds PhD students. ISRT also hosts Annual Network Meetings.
Proper citation: Spinal Research (RRID:SCR_000701) Copy
https://psignifit.sourceforge.net/
Software toolbox to fit psychometric functions and to test hypotheses about psychometric data.
Proper citation: psignifit (RRID:SCR_024196) Copy
http://metabarcoding.org/sumaclust
Software tool aims to cluster sequences in a way that is fast and exact at the same time.
Proper citation: sumaclust (RRID:SCR_024352) Copy
Software tool that offers analysis of CRISPR editing data. Used for inference of CRISPR edits from Sanger trace data.
Proper citation: Inference of CRISPR Edits (RRID:SCR_024508) Copy
http://datacite.labs.orcid-eu.org
Service (Beta) that allows users to search the DataCite Metadata Store, and add their research outputs including datasets, software, and others to their ORCID profile. This should increase the visibility of these research data, and will make it easier to use these data citations in applications that connect to the ORCID Registry. In addition, the service is also providing formatted citations in several popular citation styles, supports COinS, links to related resources, and displays the attached Creative Commons license where this information is available. The DataCite Metadata Store of course also contains many text documents from academic publishers and services such as figshare or PeerJ Preprints, and these works can also be claimed. This tool is a collaborative effort by ORCID, CrossRef and DataCite.
Proper citation: ODIN (RRID:SCR_001386) Copy
http://neuralensemble.org/sumatra/
A software tool for managing and tracking projects based on numerical simulation or analysis to support reproducible research. It can be thought of as an automated electronic lab notebook for simulation/analysis projects. Sumatra consists of: a command-line interface, smt, for launching simulations/analyses with automatic recording of information about the context, annotating these records, linking to data files, etc.; a web interface with a built-in web-server, smtweb, for browsing and annotating simulation/analysis results; a LaTeX package and Sphinx extension for including Sumatra-tracked figures and links to provenance information in papers and other documents; and a Python API, on which smt and smtweb are based, that can be used in personalized scripts in place of using smt.
Proper citation: Sumatra (RRID:SCR_001381) Copy
Consortium serving the diabetic complications community that sponsors annual meetings in complications-relevant scientific areas, solicits and funds pilot projects in high impact areas of complications research, and provides resources and data including animal models, protocols and methods, validation criteria, reagents and resources, histology, publications and bioinformatics for researchers conducting diabetic complications research.
Proper citation: Diabetic Complications Consortium (RRID:SCR_001415) Copy
http://www.glycosciences.de/tools/sumo/
Service that searches carbohydrate structures for motifs commonly used for carbohydrate classification, like N- and O-glycan cores, Lewis antigens, etc. Note: Sumo is currently under construction. Motif searches are a frequently used tool in proteomics. For carbohydrate structures, there are also many motifs classified in the literature, e.g. the Lewis antigens or the diverse O-glycan core structures. Sumo is a tool to locate such motifs in a carbohydrate structure given in LINUCS or in IUPAC nomenclature., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: sumo (RRID:SCR_001572) Copy
https://chordate.bpni.bio.keio.ac.jp/chordate/faba/1.4/top.html
Image resource including ascidian's three-dimensional (3D) and cross-sectional images through the developmental time course. These images were reconstructed from more than 3,000 high-resolution real images collected by confocal laser scanning microscopy (CLSM) at newly defined 26 distinct developmental stages (stages 1-26) from fertilized egg to hatching larva, which were grouped into six periods named the zygote, cleavage, gastrula, neurula, tailbud, and larva periods. The data set will be helpful in standardizing developmental stages for morphology comparison as well as for providing guidelines for several functional studies of a body plan in chordate.
Proper citation: Four-dimensional Ascidian Body Atlas (RRID:SCR_001691) Copy
http://genome.crg.es/GOToolBox/
The GOToolBox web server provides a series of programs allowing the functional investigation of groups of genes, based on the Gene Ontology resource. The web version of the GOToolBox is free for non-commercial users only. Users from commercial companies are allowed to use the site during a reasonable testing period. For a regular use of the web version, a license fee should be paid. We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identification of statistically over- or under-represented terms in a gene dataset; the clustering of functionally related genes within a set; and the retrieval of genes sharing annotations with a query gene. GO annotations can also be constrained to a slim hierarchy or a given level of the ontology. The source codes are available upon request, and distributed under the GPL license. Platform: Online tool
Proper citation: GOToolBox Functional Investigation of Gene Datasets (RRID:SCR_003192) Copy
http://django.nubic.northwestern.edu/fundo/
Tool that takes a list of genes and finds relevant diseases based on statistical analysis of the Disease Ontology annotation database. It accepts Entrez gene ids or gene symbols, separated by tabs, newlines, or commas. This list of genes can be obtained by microarray, proteomics, sequencing or other high-throughput screening methods.
Proper citation: FunDO (RRID:SCR_001725) Copy
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