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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://github.com/immunogenomics/harmony
Software R package to project cells into shared embedding in which cells group by cell type rather than dataset specific conditions. Harmony simultaneously accounts for multiple experimental and biological factors. Used for integration of single cell data.
Proper citation: Harmony (RRID:SCR_022206) Copy
Software R package for processing and analyzing single-cell ATAC-seq data. Used for integrative single cell chromatin accessibility analysis.Provides intuitive, user focused interface for complex single cell analysis, including doublet removal, single cell clustering and cell type identification, unified peak set generation, cellular trajectory identification, DNA element-to-gene linkage, transcription factor footprinting, mRNA expression level prediction from chromatin accessibility and multi-omic integration with single-cell RNA sequencing.
Proper citation: ArchR (RRID:SCR_020982) Copy
https://omics.pnl.gov/software/ms-gf
Software that performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database.
Proper citation: MS-GF+ (RRID:SCR_015646) Copy
http://mummer.sourceforge.net/
Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes.
Proper citation: MUMmer (RRID:SCR_018171) Copy
http://www.cbs.dtu.dk/services/NetMHCpan/
Web server for quantitative prediction of peptide binding to any MHC molecule of known sequence using artificial neural networks. Characterizes binding specificity of given major histocompatibility complex molecule and predicts peptide length profile and peptide binding affinity. NetMHCpan 3.0 is improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length data sets. NetMHCpan 4.0 is trained on naturally eluted ligands and on peptide binding affinity data. NetMHCpan-4.1 server predicts binding of peptides to any MHC molecule of known sequence using artificial neural networks (ANNs).
Proper citation: NetMHCpan Server (RRID:SCR_018182) Copy
http://web.cbio.uct.ac.za/~darren/rdp.html
Software package to analyse nucleotide sequence data and identify evidence of genetic recombination. RDP3 is version of RDP program for characterizing recombination events in DNA-sequence alignments. RDP4 is version of RDP program for detection and analysis of recombination patterns in virus genomes.
Proper citation: Recombination Detection Program (RRID:SCR_018537) Copy
https://bioweb.pasteur.fr/packages/pack@[email protected]
Open source software tool for analysing trace files generated by Bayesian MCMC runs. Software package for visualising and analysing MCMC trace files generated through Bayesian phylogenetic inference. Provides kernel density estimation, multivariate visualisation, demographic trajectory reconstruction, conditional posterior distribution summary and more.
Proper citation: Tracer (RRID:SCR_019121) Copy
https://github.com/datatagsuite
Software suite to enable discoverability of datasets. Enables submission of metadata on datasets to DataMed. Has core set of elements, which are generic and applicable to any type of dataset, and extended set that can accommodate more specialized data types. Platform independent model developed by NIH BD2K bioCADDIE project for DataMed Data Discovery Index prototype being developed. Also available as annotated serialization in schema.org, which in turn is widely used by major search engines like Google, Microsoft, Yahoo and Yandex.
Proper citation: DatA Tag Suite (RRID:SCR_019236) Copy
https://cedar.metadatacenter.org/
Web application for creating, collecting, testing, and sharing metadata. It provides templates for metadata models or structures, and is capable of testing those models quickly using real data.
Proper citation: CEDAR Workbench (RRID:SCR_016270) Copy
https://niaid.github.io/spice/
Software application for data mining and visualization. Used for analyzes of large FLOWJO data sets from polychromatic flow cytometry and organizing the normalized data graphically.
Proper citation: SPICE (RRID:SCR_016603) 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/Cai-Lab-at-University-of-Michigan/nTracer
Software tool as plug-in for ImageJ software. Used for tracing microscopic images.
Proper citation: nTracer (RRID:SCR_023032) Copy
http://www.nsrrc.missouri.edu/
Provides access to critically needed swine models of human health and disease as well as a central resource for reagents, creation of new genetically modified swine, and information and training related to use of swine models in biomedical research.
Proper citation: National Swine Resource and Research Center (RRID:SCR_006855) Copy
https://github.com/BioDepot/BioDepot-workflow-builder
Software tool to create and execute reproducible bioinformatics workflows using drag and drop interface. Graphical widgets represent Docker containers executing modular task. Widgets are linked graphically to build bioinformatics workflows that can be reproducibly deployed across different local and cloud platforms. Each widget contains form-based user interface to facilitate parameter entry and console to display intermediate results.
Proper citation: BioDepot-workflow-builder (RRID:SCR_017402) Copy
https://cran.r-project.org/web/packages/celltrackR/index.html
Software R package to analyze immune cell migration data. Supports pipeline for track analysis by providing methods for data management, quality control, extracting and visualizing migration statistics, clustering tracks, and simulating cell migration.Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length.
Proper citation: celltrackR (RRID:SCR_021021) Copy
https://www.rdocumentation.org/packages/DGCA/versions/1.0.2
Software R package to perform differential gene correlation analysis. Performs differential correlation analysis on input matrices, with multiple conditions specified by design matrix.
Proper citation: Differential Gene Correlation Analysis (RRID:SCR_020964) Copy
http://www.nitrc.org/projects/ap_seg_2013_nih/
A MATLAB GUI for segmenting and quantifying PET images with multi-focal and diffuse uptakes. It imports a PET image and allows the user to draw region of interests (ROIs) in 2D or 3D to roughly separate the object of interest from the background. The areas are then segmented using a PET image segmentation method based on Affinity Propagation clustering to cluster the image intensities into meaningful groups. For quantification, the Standardized Uptake Value measurements of the binary or the user defined ROI are SUVmax, SUVmean, and Volume (mm^3) and can be exported into an excel sheet.
Proper citation: NIH-CIDI Segmentation of PET Images based on Affinity Propagation Clustering (RRID:SCR_014151) Copy
http://www.nitrc.org/projects/dicomconvert/
A DICOM image converter based on the ITK IO mechanism for reading and writing images. The formats currently supported by the converter are DICOM to: Analyze (*.hdr); MetaImage (*.mhd); Nrrd (*.nhdr, *.nrrd).
Proper citation: DICOMConvert (RRID:SCR_014100) Copy
http://www.niaid.nih.gov/about/organization/dait/pages/csgadp.aspx
Collaborative network of investigators with a focus on prevention of autoimmune disease, defined as halting the development of autoimmune disease prior to clinical onset by means other than global immunosuppression, and an emphasis on Type 1 diabetes. Its mission is to engage in scientific discovery that significantly advances knowledge for the prevention and regulation of autoimmune disease. The specific goals enunciated in pursuit of this mission are: * To create improved models of disease pathogenesis and therapy to better understand immune mechanisms that will provide opportunities for prevention strategies * To use these models as validation platforms with which to test new tools applicable to human studies * To encourage core expertise and collaborative projects designed for rapid translation from animal to human studies, emphasizing the development of surrogate markers for disease progression and/or regulation which can be utilized in the context of clinical trials
Proper citation: Cooperative Study Group for Autoimmune Disease Prevention (RRID:SCR_006803) Copy
https://cibersort.stanford.edu/
Software tool to provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data. Used for characterizing cell composition of complex tissues from their gene expression profiles, large scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets.
Proper citation: CIBERSORT (RRID:SCR_016955) Copy
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