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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.
https://doi.org/10.5281/zenodo.592960
Image reconstruction software for MRI. Its library provides common operations on multi-dimensional arrays, Fourier and wavelet transforms, as well as generic implementations of iterative optimization algorithms.
Proper citation: Berkeley Advanced Reconstruction Toolbox (RRID:SCR_016168) Copy
http://fit.genomics.lbl.gov/cgi-bin/myFrontPage.cgi
Web tool for browsing genome wide fitness experiments for diverse bacteria from Deutschbauer lab, the Arkin lab, and collaborators. Collection of mutant phenotypes for bacterial genes of unknown function.
Proper citation: Fitness Browser (RRID:SCR_018981) Copy
https://www.colorado.edu/facility/ems/
Core provides access to instruments including:FEI Tecnai 12 Spirit TEM, FEI Tecnai F20 (200kV) FEG-TEM 200kV FEG-TEM,Gatan US4000 4k x 4k CCD, bottom-mount,CryoTEM and electron tomography,High-resolution TEM;FEI Tecnai F20 (200kV) FEG-TEM,300kV FEG-TEM,Gatan US4000 4k x 4k CCD, bottom-mount,CryoTEM and electron tomography,High-resolution TEM,FEI/Phillips CM100 (100kV) TEM,100kV, tungsten TEM,2k x 2k AMT CCD, bottom-mount.
Proper citation: Colorado University at Boulder EM Services Core Facility (RRID:SCR_001432) Copy
http://www.loni.usc.edu/Software/Debabeler
Software to manage the conversion of imaging data from one file format and convention to another. It consists of a graphical user interface to visually program the translations, and a data translation engine to read, sort and translate the input files, and write the output files to disk. The data translation engine: (1) Reads metadata from a set of image files on disk to identify the source that produced each file; (2) Groups the image files into user-defined collections using image metadata values; (3) Translates each image file collection by reading metadata and pixel data and mapping the data into the appropriate output file format through a programmable set of connected modules. The Debabeler uses the Java Image I/O Plugin Architecture to read and write a wide variety of common medical image file formats, including ANALYZE, MINC, and most variations of DICOM.
Proper citation: LONI Debabeler (RRID:SCR_001160) Copy
https://github.com/SciKnowEngine/kefed.io
Knowledge engineering software for reasoning with scientific observations and interpretations. The software has three parts: (a) the KEfED model editor - a design editor for creating KEfED models by drawing a flow diagram of an experimental protocol; (b) the KEfED data interface - a spreadsheet-like tool that permits users to enter experimental data pertaining to a specific model; (c) a "neural connection matrix" interface that presents neural connectivity as a table of ordinal connection strengths representing the interpretations of tract-tracing data. This tool also allows the user to view experimental evidence pertaining to a specific connection. The KEfED model is designed to provide a lightweight representation for scientific knowledge that is (a) generalizable, (b) a suitable target for text-mining approaches, (c) relatively semantically simple, and (d) is based on the way that scientist plan experiments and should therefore be intuitively understandable to non-computational bench scientists. The basic idea of the KEfED model is that scientific observations tend to have a common design: there is a significant difference between measurements of some dependent variable under conditions specified by two (or more) values of some independent variable.
Proper citation: Knowledge Engineering from Experimental Design (RRID:SCR_001238) Copy
The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework.
Proper citation: LONI MiND (RRID:SCR_004820) Copy
http://www.loni.usc.edu/Software/DiD
Software application for removing patient-identifying information from medical image files. Removing this information is often necessary for enabling investigators to share image files in a HIPAA compliant manner.
Proper citation: LONI De-identification Debablet (RRID:SCR_009593) Copy
http://www.sci.utah.edu/cibc/software/231-biomesh3d.html
A free, easy to use program for generating quality meshes for use in biological simulations. It is currently integrated with SCIRun and uses the SCIRun system to visualize the intermediate results. The BioMesh3D program uses a particle system to distribute nodes on the separating surfaces that separate the different materials and then uses the TetGen software package to generate a full tetrahedral mesh.
Proper citation: BioMesh3D (RRID:SCR_009534) Copy
http://researchiq.bmi.osumc.edu
THIS RESOURCE IS NO LONGER IN SERVICE, documented March 14, 2016. Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publicly available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University.
Proper citation: ResearchIQ (RRID:SCR_014304) Copy
http://amp.pharm.mssm.edu/X2K/
Software tool to produce inferred networks of transcription factors, proteins, and kinases predicted to regulate the expression of the inputted gene list by combining transcription factor enrichment analysis, protein-protein interaction network expansion, with kinase enrichment analysis. It provides the results as tables and interactive vector graphic figures.
Proper citation: eXpression2Kinases (RRID:SCR_016307) Copy
https://data.broadinstitute.org/alkesgroup/Eagle/
Software package for statistical estimation of haplotype phase either within a genotyped cohort or using a phased reference panel in large scale sequencing. The package includes Eagle1 (to harness identity-by-descent among distant relatives to rapidly call phase using a fast scoring approach) and Eagle2 (to analyze a full probabilistic model similar to the diploid Li-Stephens model used by previous HMM-based methods.
Proper citation: Eagle (RRID:SCR_015991) Copy
https://sourceforge.net/projects/saint-apms/files/
Software tool for upgraded implementation of probabilistic scoring of affinity purification mass spectrometry data. Used for filtering high confidence interaction data from affinity purification mass spectrometry experiments. Used for assigning confidence scores to protein-protein interactions based on quantitative proteomics data in AP-MS experiments.
Proper citation: SAINTexpress (RRID:SCR_018562) Copy
https://www.cgl.ucsf.edu/chimera/
Software tool for interactive visualization and analysis of molecular structures and related data, including density maps, supramolecular assemblies, sequence alignments, docking results, trajectories, and conformational ensembles. High-quality images and animations can be generated. Chimera includes complete documentation and several tutorials.
Proper citation: UCSF Chimera (RRID:SCR_004097) Copy
http://bix.ucsd.edu/projects/singlecell/
Software package for short read data from single cells that improves assembly through use of progressively increasing coverage cutoff. Used for single cell Illumina sequences, allows variable coverage datasets to be utilized with assembly of E. coli and S. aureus single cell reads. Assembles single cell genome of uncultivated SAR324 clade of Deltaproteobacteria.
Proper citation: Velvet-SC (RRID:SCR_004377) Copy
Open source semantic web application that enables the discovery of research and scholarship across disciplines at a particular institution and across institutions by creating a semantic cloud of information that can be searched and browsed. Participants include institutions with local installations of VIVO or those with research discovery and profiling applications that can provide semantic web-compliant data. The information accessible through the national network''''s search and browse capability will therefore reside and be controlled locally within institutional VIVOs or other semantic web applications. The VIVO ontology provides a set of types (classes) and relationships (properties) to represent researchers and the full context of their experience, outputs, interests, accomplishments, and associated institutions. https://wiki.duraspace.org/display/VIVO/VIVO-ISF+Ontology VIVO is populated with detailed profiles of faculty and researchers including information such as publications, teaching, service, and professional affiliations. It also supports browsing and a search function which returns faceted results for rapid retrieval of desired information. The rich semantically structured data in VIVO support and facilitate research discovery. Examples of applications that consume these rich data include: visualizations, enhanced multi-site search through VIVO Search, and applications such as VIVO Searchlight, a browser bookmarklet which uses text content of any webpage to search for relevant VIVO profiles, and the Inter-Institutional Collaboration Explorer, an application which allows visualization of collaborative institutional partners, among others. Institutions are free to participate in the national network by installing and using the application. The application provides linked data via RDF data making users a part of the semantic web! or any other application that provides linked data can be used. Users can also get involved with developing applications that provide enhanced search, new collaboration capabilities, grouping, finding and mapping scientists and their work.
Proper citation: VIVO (RRID:SCR_005246) Copy
A literature search and visualization tool that allows end users to enter any PubMed query and see that query rendered as a heatmap illustrating which regions of interest are most commonly mentioned within the search results. To use PubBrain, simply enter any valid PubMed search in the search box.
Proper citation: PubBrain (RRID:SCR_005387) Copy
http://www.hms.harvard.edu/NEPRC/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. A U.S. Regional Primate Research Center that focuses on AIDS, cancer, neuropsychiatric disorders, drug addiction, and neurodegenerative disease. The Division of Primate Resources provides researchers with the services and facilities to support biomedical research. It offers a broad spectrum of services ranging from analysis of tissue specimens to partnership investigations with leading biomedical research institutions. Outside investigators have access to tissue specimens, organs, blood, skeletal structures, and viral specimens. Services include veterinary services, animals and animal care, surgical and radiographic services, timed mating, biocontainment, pathology services, and professional and technical expertise. Additional diagnostic and research services at NEPRC include testing for antiviral antibodies, DNA cloning, and DNA sequencing. The colony of nine species includes rhesus macaques and other Old World monkeys and New World species including the common marmoset and squirrel monkey. Other species can be obtained. Animals with exceptional characteristics (specific-pathogen-free, timed pregnancy, surgically altered, etc.) can be made available if needed. Scientists wishing to conduct research at the center must have projects reviewed and approved by the center animal allocation committee.
Proper citation: New England National Primate Research Center (RRID:SCR_002887) Copy
Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
Proper citation: Cytoscape (RRID:SCR_003032) Copy
http://bio3d.colorado.edu/imod
A free, cross-platform set of image processing, modeling and display programs used for tomographic reconstruction and for 3D reconstruction of EM serial sections and optical sections. The package contains tools for assembling and aligning data within multiple types and sizes of image stacks, viewing 3-D data from any orientation, and modeling and display of the image files. IMOD 4.1.8 Is Now Available for Linux, Windows, and Mac OS X
Proper citation: IMOD (RRID:SCR_003297) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 08, 2013. A two year Clinical and Translational Science Award (CTSA) supplement that set up a SHRINE (Shared Health Research Informatics NEtwork) network to create an information exchange environment that successfully shared 4.2M deidentified patient records. The network successfully linked i2b2 sites at UW, UCSF, UC Davis and Harvard Catalyst. Recombinant Data Corporation was actively involved in this implementation. This is a collaborative information exchange pilot project to adapt and extend data discovery tools and processes to enhance research design and retrospective data study capabilities for clinical translational investigators. The novel approach of this project will be to incrementally build a common technical, semantic and appropriately secure and governed distributed system in close partnership with active researchers at three large and geographically distributed academic medical centers. This collaboration will extend the Informatics for Integrating Biology and the Bedside (i2b2) software architecture developed by the Harvard based National Center for Biomedical Computing (NCBC) to support multi-institution data query capabilities. The anticipated outcome of this two-year project is to make high-level anonymized descriptive characteristics of population-level data discoverable for research design, hypothesis generation and retrospective data studies.
Proper citation: i2b2 Cross-Institutional Clinical Translational Research project (RRID:SCR_003367) Copy
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