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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.

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  • RRID:SCR_017257

    This resource has 1+ mentions.

https://github.com/powellgenomicslab/ascend

Software R package for analysis of single cell RNA-seq expression, normalization and differential expression data. Provides framework to perform cell and gene filtering, quality control, normalization, dimension reduction, clustering, differential expression, and visualization functions.

Proper citation: ascend (RRID:SCR_017257) Copy   


  • RRID:SCR_002319

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/flowCyBar.html

A software package to analyze flow cytometric data using gate information to follow population / community dynamics.

Proper citation: flowCyBar (RRID:SCR_002319) Copy   


  • RRID:SCR_001157

http://bioconductor.org/packages/devel/bioc/html/massiR.html

Software that predicts the sex of samples in gene expression microarray datasets.

Proper citation: massiR (RRID:SCR_001157) Copy   


  • RRID:SCR_001251

    This resource has 10+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/CGEN.html

Software R package for analysis of case-control studies in genetic epidemiology.

Proper citation: CGEN (RRID:SCR_001251) Copy   


  • RRID:SCR_001351

https://www.bioconductor.org/packages//2.12/bioc/html/maigesPack.html

Software package that uses functions to handle and analyze cDNA microarray data.

Proper citation: maigesPack (RRID:SCR_001351) Copy   


  • RRID:SCR_001858

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/SamSPECTRAL.html

Software that identifies cell population in flow cytometry data. It demonstrates significant advantages in proper identification of populations with non-elliptical shapes, low density populations close to dense ones, minor subpopulations of a major population and rare populations. It samples large data such that spectral clustering is possible while preserving density information in edge weights. More specifically, given a matrix of coordinates as input, SamSPECTRAL first builds the communities to sample the data points. Then, it builds a graph and after weighting the edges by conductance computation, the graph is passed to a classic spectral clustering algorithm to find the spectral clusters. The last stage of SamSPECTRAL is to combine the spectral clusters. The resulting connected components estimate biological cell populations in the data sample.

Proper citation: SamSPECTRAL (RRID:SCR_001858) Copy   


  • RRID:SCR_001810

    This resource has 100+ mentions.

https://www.bioconductor.org/packages//2.10/bioc/html/spade.html

An analysis and visualization software tool for high dimensional flow cytometry data that organizes cells into hierarchies of related phenotypes.

Proper citation: SPADE (RRID:SCR_001810) Copy   


  • RRID:SCR_000407

https://github.com/yongchao/flowPeaks

Software for fast and automatic clustering to classify the cells into subpopulations based on finding the peaks from the overall density function generated by K-means.

Proper citation: flowPeaks (RRID:SCR_000407) Copy   


  • RRID:SCR_000523

    This resource has 10+ mentions.

http://mfuzz.sysbiolab.eu/

Software package for noise-robust soft clustering of gene expression time-series data (including a graphical user interface)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Mfuzz (RRID:SCR_000523) Copy   


  • RRID:SCR_019321

    This resource has 1+ mentions.

https://sydneybiox.github.io/CiteFuse/

Software R package consisting of suite of tools for doublet detection, modality integration, clustering, differential RNA and protein expression analysis, antibody-derived tag evaluation, ligand-receptor interaction analysis and interactive web-based visualization of CITE-seq data.

Proper citation: CiteFuse (RRID:SCR_019321) Copy   


  • RRID:SCR_005394

    This resource has 50+ mentions.

http://www.bioconductor.org/packages/2.12/bioc/html/PING.html

Software program for probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Proper citation: PING (RRID:SCR_005394) Copy   


  • RRID:SCR_001807

    This resource has 10+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/flowClust.html

A Bioconductor software package for automated gating of flow cytometry data that implements a robust model-based clustering approach based on multivariate t mixture models with the Box-Cox transformation.

Proper citation: flowClust (RRID:SCR_001807) Copy   


  • RRID:SCR_002283

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/flowMatch.html

Software for matching cell populations and building meta-clusters and templates from a collection of flow cytometry (FC) samples.

Proper citation: flowMatch (RRID:SCR_002283) Copy   


  • RRID:SCR_002275

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/flowMeans.html

Software that identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection.

Proper citation: flowMeans (RRID:SCR_002275) Copy   


  • RRID:SCR_002224

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/flowMerge.html

Software for merging of mixture components for model-based automated gating of flow cytometry data using the flowClust framework.

Proper citation: flowMerge (RRID:SCR_002224) Copy   


  • RRID:SCR_002183

https://bioconductor.org/packages/2.11/bioc/html/flowPhyto.html

An R package that performs aggregate statistics on virtually unlimited collections of raw flow cytometry files and provides a memory efficient, parallelized solution for analyzing high-throughput flow cytometric data.

Proper citation: flowPhyto (RRID:SCR_002183) Copy   


  • RRID:SCR_001537

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/flowFP.html

A Bioconductor software package for fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

Proper citation: flowFP (RRID:SCR_001537) Copy   


  • RRID:SCR_000358

http://www.bioconductor.org/packages/release/bioc/html/TransView.html

Software package to generate, access and display read densities of sequencing based data sets such as from RNA-Seq and ChIP-Seq.

Proper citation: TransView (RRID:SCR_000358) Copy   


  • RRID:SCR_000444

http://www.bioconductor.org/packages/release/bioc/html/SigFuge.html

Algorithm for testing significance of clustering in RNA-seq data.

Proper citation: SigFuge (RRID:SCR_000444) Copy   


  • RRID:SCR_006399

http://master.bioconductor.org/packages/2.13/bioc/html/BHC.html

Software package that performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture) to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. This avoids several limitations of traditional methods, for example how many clusters there should be and how to choose a principled distance metric. This implementation accepts multinomial (i.e. discrete, with 2+ categories) or time-series data and also includes a randomised algorithm which is more efficient for larger data sets.

Proper citation: BHC (RRID:SCR_006399) Copy   



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