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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://www.sciencescott.com/pyminer
Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.
Proper citation: PyMINEr (RRID:SCR_016990) Copy
https://pachterlab.github.io/sleuth/about
Software tool for analysis of RNA-Seq experiments for which transcript abundances have been quantified with kallisto. Used for the differential analysis of gene expression data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance.
Proper citation: sleuth (RRID:SCR_016883) Copy
http://www.bioconductor.org/packages/release/bioc/html/ropls.html
Software R package for multivariate analysis and feature selection of omics data. Used for visualization, regression, classification, and feature selection of omics data where the number of variables exceeds the number of samples and with multicollinearity among variables.
Proper citation: ropls (RRID:SCR_016888) Copy
https://bioconductor.org/packages/release/bioc/html/goseq.html
Software application for performing Gene Ontology analysis on RNAseq data and other length biased data. Used to reduce complexity and highlight biological processes in genome wide expression studies.
Proper citation: Goseq (RRID:SCR_017052) Copy
Software tool as fast, batch processing feature extraction software for differential analysis that supports data from Agilent GC/MSD, GC/Q-TOF, LC/TOF and LC/Q-TOF instruments. Speeds up differential and flux analysis workflows using intuitive user interface. Used to analyze raw mass spectrometry data, choose peaks.
Proper citation: Profinder (RRID:SCR_017026) Copy
http://hibberdlab.com/transrate/
Open source software tool for de novo transcriptome assembly reference free quality analysis. Used to examine assembly in detail and compare it to sequencing reads, reporting quality scores for contigs and assemblies to allow to choose between assemblers and parameters, filter out bad contigs from an assembly, and help decide when to stop trying to improve assembly.
Proper citation: TransRate (RRID:SCR_017034) Copy
http://www.imgt.org/StatClonotype/
Software tool to evaluate and visualize statistical significance of pairwise comparisons of IMGT clonotype (AA) diversity or expression, per variable,diversity, and joining gene of given IG or TR group, from NGS IMGT/HighV-QUEST statistical output. Antibody clonotype analysis based on NGS sequences.
Proper citation: IMGT/StatClonotype (RRID:SCR_018963) Copy
https://github.com/MRCIEU/TwoSampleMR
Software R package for performing Mendelian randomization using genome wide association study summary data.
Proper citation: TwoSampleMR (RRID:SCR_019010) Copy
https://ohlerlab.mdc-berlin.de/software/RiboTaper_126/
Software tool as analysis pipeline for ribosome profiling experiments, which exploits triplet periodicity of ribosomal footprints to call translated regions. Statistical approach that identifies translated regions on basis of characteristic three nucleotide periodicity of Ribo-seq data.
Proper citation: RiboTaper (RRID:SCR_018880) Copy
https://www.nitrc.org/projects/mrtool
Software toolkit for analysis of MR brain imaging data. MRTool runs on Apple computers and PCs and requires SPM12.
Proper citation: MRTool (RRID:SCR_015956) Copy
https://github.com/jdiedrichsen/pcm_toolbox
Software for a Bayesian approach for evaluating representational models that specify how complex patterns of neural activity relate to visual stimuli, motor actions, or abstract thoughts. PCM evaluates the ability of models to predict novel brain activity patterns and integrates over all possible activity profiles and computes the marginal likelihood of the data under the activity profile distribution specified by the representational model.
Proper citation: Pattern Component Modelling Toolbox (RRID:SCR_015891) Copy
https://savannah.gnu.org/projects/datamash/
Software for a command-line interface which performs basic numeric, textual and statistical operations on input textual data files. It is designed to aid researchers in automating analysis pipelines, without writing code or short scripts.
Proper citation: Datamash (RRID:SCR_016067) Copy
Software for statistical analysis and spreadsheet editing that is built on top of the R statistical language. It encourages a “community driven” philosophy, where users can develop and publish their analyses to make them available to a wide audience.
Proper citation: jamovi (RRID:SCR_016142) Copy
http://www.heka.com/downloads/downloads_main.html#down_fitmaster
Software for analysis and fitting routines of electrophysiological data. Analysis can be performed on the levels of Sweeps/Traces and Series.
Proper citation: FITMASTER (RRID:SCR_016233) Copy
https://github.com/nvalimak/fsm-lite
Software application as a single-core implementation of frequency-based substring mining. It can be used in bioinformatics to extract substrings that discriminate two (or more) datasets inside high-throughput sequencing data.
Proper citation: Fsm-lite (RRID:SCR_016115) Copy
Software that employs machine learning techniques and high-performance computing for analyzing task-based fMRI datasets. It applies Feature Analysis, Hyperalignment, Multi-voxel Pattern Analysis (MVPA), Representational Similarity Analysis (RSA), and more.
Proper citation: Easy fMRI (RRID:SCR_016392) Copy
http://bioinformatics.ubc.ca/ermineJ/
Data analysis software for gene sets in expression microarray data or other genome-wide data that results in rankings of genes. A typical goal is to determine whether particular biological pathways are doing something interesting in the data. The software is designed to be used by biologists with little or no informatics background. A command-line interface is available for users who wish to script the use of ermineJ. Major features include: * Implementation of multiple methods for gene set analysis: ** Over-representation analysis ** A resampling-based method that uses gene scores ** A rank-based method that uses gene scores ** A resampling-based method that uses correlation between gene expression profiles (a type of cluster-enrichment analysis). * Gene sets receive statistical scores (p-values), and multiple test correction is supported. * Support of the Gene Ontology terminology; users can choose which aspects to analyze. * User files use simple text formats. * Users can modify gene sets or create new ones. * The results can be visualized within the software. * It is simple to compare multiple analyses of the same data set with different settings. * User-definable hyperlinks are provided to external sites to allow more efficient browsing of the results. * For programmers, there is a command line interface as well as a simple application programming interface that can be used to plug ermineJ functionality into your own code Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: ErmineJ (RRID:SCR_006450) Copy
https://www.microscop.ru/uploads/Helios-NanoLab-600i-ds-web.pdf
Scanning Electron Microscope advanced DualBeam for ultra-high resolution imaging, analysis and fabrication at the nanoscale. Helios NanoLab 600i builds on the success of FEI’s winning DualBeam series offering advances in ion beam, electron beam, patterning and range of features to make milling, imaging, analysis and sample preparation down to nanoscale.
Proper citation: FEI Helios Nanolab 600i DualBeam (RRID:SCR_027033) Copy
http://thea.unice.fr/index-en.html
THIS RESOURCE IS NO LONGER IN SERVICE, on documented July 16, 2012. An integrated information processing system dedicated to the analysis of post-genomic data. It allows automatic annotation of data issued from classification systems with selected biological information (including the Gene Ontology). Users can either manually search and browse through these annotations, or automatically generate meaningful generalizations according to statistical criteria (data mining). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: THEA - Tools for High-throughput Experiments Analysis (RRID:SCR_005802) Copy
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/
Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) Copy
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