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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.icpsr.umich.edu/SAMHDA/
Database of the nation''s substance abuse and mental health research data providing public use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health. The goal is to increase the use of the data to most accurately understand and assess substance abuse and mental health problems and the impact of related treatment systems. The data include the U.S. general and special populations, annual series, and designs that produce nationally representative estimates. Some of the data acquired and archived have never before been publicly distributed. Each collection includes survey instruments (when provided), a bibliography of related literature, and related Web site links. All data may be downloaded free of charge in SPSS, SAS, STATA, and ASCII formats and most studies are available for use with the online data analysis system. This system allows users to conduct analyses ranging from cross-tabulation to regression without downloading data or relying on other software. Another feature, Quick Tables, provides the ability to select variables from drop down menus to produce cross-tabulations and graphs that may be customized and cut and pasted into documents. Documentation files, such as codebooks and questionnaires, can be downloaded and viewed online.
Proper citation: Substance Abuse and Mental Health Data Archive (RRID:SCR_007002) Copy
This project encompasses development of novel biological network analysis methods and infrastructure for querying biological data in a semantically-enabled format, and aims to create a semantic interactome model. Research within the BioMANTA project will focus on computational modelling and analysis, primarily using Semantic Web technologies and Machine Learning methods, of large-scale protein-protein interaction and compound activity networks across a wide variety of species. A range of information such as kinetic activity, tissue expression, and subcellular localization and disease state attributes will be included in the resulting data model. Protein interactions are a fundamental component of biological processes. Many proteins are functional only in multimeric complexes, or require interaction partners to achieve their correct localisation or function. For this reason, the study of protein-protein interaction (PPI) networks has become an area of growing interest in computational biology. Through the use of Semantic Web technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL), interaction data is modelled to create a knowledge representation in which meaning is vested in the ontology rather than instances of data. Stochastic and computational intelligence methods are applied to this data to infer high coverage networks. Semantic inferencing is used to infer previously unknown and meaningful pathways. Major project components: - The BioMANTA Ontology:- An OWL DL ontology incorporating the PSI-MI Ontology, the NCBI Taxonomy, and elements of BioPax ontology and Gene Ontology (describing subcellular localisation). This allows us to re-use existing ontologies, thereby reducing overheads associated with knowledge acquisition in the ontology development process. We are able to integrate existing public data that contain annotation in these formats. - Data conversion & semantic protein integration:- A set of software components that convert protein-protein databases (DIP, MPact, IntAct, etc.) from PSI-MI XML to RDF compliant with the BioMANTA ontology. These software allow us to make these protein-protein interaction datasets (and more generally, any PSI-MI XML data) semantically available for querying and inference within BioMANTA. - A RDF triple store based on RDF Molecules and the MapReduce architecture:- A proof-of-concept RDF triple store using RDF molecules and Hadoop scale-out architectures. Regular RDF graphs are deconstructed into RDF molecules, which are distributed over distributed compute nodes in the MapReduce architecture, and are subsequently combined to form equivalent RDF graphs. Such an approach makes the distributed SPARQL querying and reasoning on RDF triple stores possible. - A quantitative framework to integrate networks extracted from independent data sources (gene expression, subcellular localization, and ortholog mapping):- The model is multi-layer, with a first layer based on Decision Trees where each Decision tree is built on each dataset independently. The tree nodes are cut using Shannon''s entropy (mutual information); the decision of these independent trees is integrated using logistic regression, and the parameters are optimised using maximum likelihood. Sponsors: This resource is supported by the Pfizer Global Research and Development, the Institute for Molecular Bioscience (IMB), and the University of Queensland, Australia.
Proper citation: BioMANTA (RRID:SCR_007177) Copy
Portal for Macromolecular X-Ray Crystallography to produce and support an integrated suite of programs that allows researchers to determine macromolecular structures by X-ray crystallography, and other biophysical techniques. Used in the education and training of scientists in experimental structural biology for determination and analysis of protein structure.
Proper citation: CCP4 (RRID:SCR_007255) Copy
http://www.mbio.ncsu.edu/BioEdit/bioedit.html
Software tool as biological sequence alignment editor written for Windows 95/98/NT/2000/XP/7 and sequence analysis program. Provides sequence manipulation and analysis options and links to external analysis programs to view and manipulate sequences with simple point and click operations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: BioEdit (RRID:SCR_007361) Copy
https://bioconductor.org/packages/release/bioc/html/Rsubread.html
Software R package for sequence alignment and counting for R. Used for analyses of second and third generation sequencing data, for read mapping, read counting, SNP calling, short and long read alignment, quantification and mutation discovery. Includes assessment of sequence reads, read alignment, read summarization, exon-exon junction detection, fusion detection, detection of short and long indels, absolute expression calling and SNP calling. Can be used with reads generated from any of the major sequencing platforms including Illumina GA/HiSeq/MiSeq, Roche GS-FLX, ABI SOLiD and LifeTech Ion PGM/Proton sequencers.
Proper citation: Rsubread (RRID:SCR_016945) Copy
Software package to detect and quantify local splicing variations (LSV) from RNA-Seq data. Used to automatically detect and downweight outliers in RNA-Seq datasets with replicates for differential splicing (SD) analysis.
Proper citation: MAJIQ (RRID:SCR_016706) Copy
https://github.com/xia-lab/MetaboAnalystR
Software R package for comprehensive analysis of metabolomics data. Contains the R functions and libraries underlying MetaboAnalyst web server, including functions for metabolomic data analysis, visualization, and functional interpretation.
Proper citation: MetaboAnalystR (RRID:SCR_016723) Copy
Software package for image acquisition, analysis, display, and archiving. Used to quantify the autoradiography data from Cyclone apparatus from Perkin Elmer.
Proper citation: OptiQuant Software (RRID:SCR_016769) Copy
Web platform for bio image analysis. Used to share knowledge between the different communities, to help biologists to find any tool or workflow available for a particular image analysis problem and to find the adequate image processing wording, to help software and algorithm developers to find missing tools (or components), and to help bioimage analyst to identify and edit workflows.
Proper citation: BISE (RRID:SCR_016774) Copy
https://uk.mathworks.com/matlabcentral/fileexchange/8797-tools-for-nifti-and-analyze-image
Matlab based scripts for load, save, make, reslice, view and edit both Neuroimaging Informatics Technology Initiative (NIfTI) and ANALYZE data on any platform.
Proper citation: Tools for NIfTI and ANALYZE image (RRID:SCR_016895) Copy
https://github.com/SofieVG/FlowSOM
Software tool to analyze Flow or mass cytometry data using a Self-Organizing Map. Used to obtain an overview of how all markers are behaving on all cells, and to detect subsets that might be missed otherwise.
Proper citation: FlowSOM (RRID:SCR_016899) Copy
https://github.com/gelles-brandeis/CoSMoS_Analysis
Software tools for analyzing co-localization single-molecule spectroscopy image data.
Proper citation: CoSMoS_Analysis (RRID:SCR_016896) Copy
https://github.com/ICB-DCM/PESTO
Software customizable toolbox for parameter estimation in MathWorks MATLAB. Offers scalable algorithms for optimization, uncertainty and identifiability analysis which do not depend on any problem-specific assumptions.
Proper citation: PESTO (RRID:SCR_016891) Copy
https://github.com/qiicr/dcmqi
Software library to help with the conversion between imaging research formats and the standard DICOM representation for image analysis results. Used to implement conversion of the data stored in commonly used research formats into the standard DICOM representation. Available as a precompiled binary package for every major operating system, as a Docker image, and as an extension to 3D Slicer.
Proper citation: dcmqi (RRID:SCR_016933) Copy
Software packages for quantitative cell analysis. Used in image cytometry, quantitative cell analysis or automated cell analysis in biological research and drug discovery.
Proper citation: HCS Studio Cell Analysis software (RRID:SCR_016787) Copy
https://www.networkanalyst.ca/
Web tool for gene expression profiling, meta-analysis and systems understanding. Used for statistical, visual and network-based meta-analysis of gene expression data.
Proper citation: NetworkAnalyst (RRID:SCR_016909) Copy
http://nrtdp.northwestern.edu/
Organization dedicated to analysis of protein molecules by mass spectrometry, with a focus on intact protein measurements. Biomedical projects originated from clinical and basic research programs that utilize both targeted and untargeted analyses. Used for the development of new technology, training and dissemination of proteomics methods to laboratories and scientists.
Proper citation: National Resource for Translational and Developmental Proteomics (RRID:SCR_016907) Copy
Web tool to search multiple public variant databases simultaneously and provide a unified interface to facilitate the search process. Used for integration of human and model organism genetic resources to facilitate functional annotation of the human genome. Used for analysis of human genes and variants by cross-disciplinary integration of records available in public databases to facilitate clinical diagnosis and basic research.
Proper citation: MARRVEL (RRID:SCR_016871) Copy
https://software.broadinstitute.org/software/discovar/blog/
Software tool for variant calling with reference and de novo assembly of genomes. The heart of DISCOVAR is a de novo genome assembler which can generate de novo assemblies for both large and small genomes.
Proper citation: Discovar assembler (RRID:SCR_016755) Copy
https://github.com/PathwayAnalysisPlatform/PathwayMatcher
Software tool for multi omics pathway mapping and proteoform network generation. Open source software writen in Java to search for pathways related to a list of proteins in Reactome.
Proper citation: PathwayMatcher (RRID:SCR_016759) Copy
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