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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.
Probabilistic programming language for specifying statistical models. Defines log probability function over parameters conditioned on specified data and constants. Platform for statistical modeling and high performance statistical computation. Provides full Bayesian inference for posterior expectations including parameter estimation and posterior predictive inference by defining appropriate derived quantities of interest.
Proper citation: Stan (RRID:SCR_018459) Copy
http://www.nitrc.org/projects/reprocontainers/
Software containerized environments for reproducible neuroimaging. Part of ReproNim - Center for Reproducible Neuroimaging Computation. DataLad dataset with collection of popular computational tools provided within ready to use containerized environments.
Proper citation: ReproNim/containers (RRID:SCR_018467) Copy
https://bioconductor.org/packages/ggtree/
Software R package for visualization and annotation of phylogenetic trees with their covariates and other tree like structures with their annotation data. Can import evolutionary data from different tree file formats and analysis programs as well as other associated data from experiments so that various sources and types of data can be displayed on tree for comparison and further analyses.
Proper citation: ggtree (RRID:SCR_018560) Copy
http://dambe.bio.uottawa.ca/DAMBE/dambe.aspx
Software package for data analysis in molecular biology and evolution. Integrated software package for converting, manipulating, statistically and graphically describing, and analyzing molecular sequence data. Used for genomic and phylogenetic data analysis on Windows, Linux, and Macintosh computers.
Proper citation: DAMBE (RRID:SCR_018528) Copy
https://github.com/lmb-embrapa/machado
Software tool as framework to store, search and visualize biological data. Django instance provides data management, visualization, and searching functionalities to Chado databases. Resulting object-relational framework enables users, not only to set up local instance containing data regarding their organisms of interest, but also to develop all sorts of tools by accessing open source code.
Proper citation: Machado (RRID:SCR_018428) Copy
https://github.com/OHDSI/CohortMethod
Software R package for performing new user cohort studies in observational database in OMOP Common Data Model.
Proper citation: CohortMethod (RRID:SCR_018511) Copy
Web platform for downstream analysis and visualization of proteomics data. Server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Primary input for server consists of set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values.
Proper citation: piNET (RRID:SCR_018693) Copy
http://tools.dice-database.org/GOnet/)
Web tool for interactive Gene Ontology analysis of any biological data sources resulting in gene or protein lists.
Proper citation: GOnet (RRID:SCR_018977) Copy
http://www.mrc-cbu.cam.ac.uk/methods-and-resources/toolboxes/license/
Software Matlab toolbox to perform representational similarity analysis for neural data.
Proper citation: Toolbox for Representational Similarity Analysis (RRID:SCR_019029) Copy
https://zhanglab.c2b2.columbia.edu/index.php/CTK_Documentation
Software package that provides set of tools for analysis of CLIP data starting from raw reads generated by sequencer.
Proper citation: CLIP Tool Kit (RRID:SCR_019034) Copy
https://github.com/najasplus/hetindel_shinyapp
Software package to identify genomic insertions or deletions, so called indels, in heterozygous sequencing data where both alleles carry mutations. Used to analyze heterozygous indels.
Proper citation: Hetindel (RRID:SCR_018922) Copy
Portal for research on urinary stones in adults and children in order to learn more about who forms kidney stones, treatments and prevention. Network comprises of experts including adult and pediatric urologists, adult and pediatric nephrologists, pediatricians, emergency department physicians, clinical trialists, nutritionists, behavioral scientists, and radiologists. Duke Clinical Research Institute is Scientific Data Research Center and with clinical sites including University of Pennsylvania Children Hospital of Philadelfia, University of Texas Southwestern Medical Center, University of Washington, Washington University in St. Louis, work together in planning, executing, and analyzing results from USDRN studies.
Proper citation: Urinary Stone Disease Research Network (RRID:SCR_019059) Copy
https://www.openicpsr.org/openicpsr/covid19
Repository for data examining social, behavioral, public health, and economic impact of novel coronavirus global pandemic. Free self publishing option for any researcher who wants to share data related to COVID-19. Deposits should include all data, annotated program code, command files, and documentation necessary to understand data collection and/or replicate research findings.
Proper citation: COVID-19 Data Repository (RRID:SCR_019105) Copy
https://trials.bgcarlisle.com/
Software tool to download and parse information from ClinicalTrials.gov at the time of search to populate the graph of clinical trials. FDA information is updated weekly from Drugs at FDA dataset and FDA postmarketing commitment data set.
Proper citation: Clinical Trials Viewer (RRID:SCR_019230) Copy
https://sourceforge.net/p/iris-scanning/calliope
Software package for image processing for MATLAB. Used for processing of calcium imaging data.
Proper citation: Calliope calcium imaging processing package (RRID:SCR_021213) Copy
https://cumulus.readthedocs.io/en/stable
Software tool as cloud based single cell genomics and spatial transcriptomics data analysis framework that is scalable to massive amounts of data and able to process variety of data types. Consists of cloud analysis workflow, Python analysis package and visualization application. Supports analysis of single-cell RNA-seq, CITE-seq, Perturb-seq, single-cell ATAC-seq, single-cell immune repertoire and spatial transcriptomics data.
Proper citation: Cumulus (RRID:SCR_021644) Copy
https://www.ncbi.nlm.nih.gov/geo/
Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.
Proper citation: Gene Expression Omnibus (GEO) (RRID:SCR_005012) Copy
Seattle based independent, nonprofit medical research organization dedicated to accelerating the understanding of how human brain works. Provides free data and tools to researchers and educators and variety of unique online public resources for exploring the nervous system. Integrates gene expression data and neuroanatomy, along with data search and viewing tools, these resources are openly accessible via the Allen Brain Atlas data portal. Provides Allen Mouse Brain, Allen Spinal Cord Atlas, Allen Developing Mouse Brain Atlas, Allen Human Brain Atlas,Allen Mouse Brain Connectivity Atlas, Allen Cell Type Database, The Ivy Glioblastoma Atlas Project (Ivy GAP), The BrainSpan Atlas of the Developing Human Brain.
Proper citation: Allen Institute for Brain Science (RRID:SCR_006491) Copy
Issue
Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
Proper citation: SPM (RRID:SCR_007037) Copy
http://harvester.fzk.de/harvester/
Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.
Proper citation: Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology (RRID:SCR_008017) Copy
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