Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.bioconductor.org/packages/release/bioc/html/MIMOSA.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.
Proper citation: MIMOSA (RRID:SCR_000184) Copy
http://www.bioconductor.org/packages/release/bioc/html/iASeq.html
Software that uses a Bayesian hierarchical mixture model to learn correlation patterns of allele-specificity among multiple proteins.
Proper citation: iASeq (RRID:SCR_000420) Copy
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
http://www.bioconductor.org/packages/release/bioc/html/QUALIFIER.html
Software that provides quality control and quality assessment tools for gated flow cytometry data.
Proper citation: QUALIFIER (RRID:SCR_000389) Copy
https://github.com/PacificBiosciences/stsPlots
Software to plot primary analysis quality control metrics to assess potential SMRTcell loading problems.
Proper citation: stsPlots (RRID:SCR_000449) Copy
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
http://www.bioconductor.org/packages/release/bioc/html/RchyOptimyx.html
Software that constructs a hierarchy of cells using flow cytometry for maximization of an external variable (e.g., a clinical outcome or a cytokine response).
Proper citation: RchyOptimyx (RRID:SCR_001889) Copy
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
http://www.bioconductor.org/packages/release/bioc/html/flowType.html
Software for phenotyping Flow Cytometry assays using multidimentional expansion of single dimentional partitions.
Proper citation: flowType (RRID:SCR_001957) Copy
https://cran.r-project.org/src/contrib/Archive/PurBayes/
An MCMC-based algorithm that uses next-generation sequencing data to estimate tumor purity and clonality for paired tumor-normal data.
Proper citation: PurBayes (RRID:SCR_002068) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowViz.html
Software that provides visualization tools for flow cytometry data.
Proper citation: flowViz (RRID:SCR_002075) Copy
http://sourceforge.net/projects/exorca/
A Matlab package extending the scope of established COBRA metabolic modelling.
Proper citation: ORCA (RRID:SCR_012097) Copy
http://opencobra.sourceforge.net/openCOBRA/Welcome.html
Software Python package that provides support for basic COnstraint-Based Reconstruction and Analysis (COBRA) methods.
Proper citation: COBRApy (RRID:SCR_012096) Copy
http://www.bioconductor.org/packages/release/bioc/html/rBiopaxParser.html
A software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. At the moment BioPAX level 2 and level 3 are supported.
Proper citation: rBiopaxParser (RRID:SCR_002744) Copy
https://github.com/itojal/hot_scan
A free software to detect genomic regions unusually rich in translocation breakpoints. More generally, it may be used to detect a region that is unusually rich in a given character of a binary sequence.
Proper citation: hot scan (RRID:SCR_002840) Copy
http://www.bioconductor.org/packages/release/bioc/html/Basic4Cseq.html
An R/Bioconductor package for basic filtering, analysis and subsequent near-cis visualization of 4C-seq data. Virtual fragment libraries can be created for any BSGenome package, and filter functions for both reads and fragments and basic quality controls are included. Fragment data in the vicinity of the experiment's viewpoint can be visualized as a coverage plot based on a running median approach and a multi-scale contact profile.
Proper citation: Basic4Cseq (RRID:SCR_002836) Copy
https://github.com/PacificBiosciences/R-pbh5
Software library for accessing data in HDF5 files produced by Pacific Biosciences sequencing machines. The R package supports accessing data from: cmp.h5, bas.h5, pls.h5, and trc.h5.
Proper citation: R-pbh5 (RRID:SCR_003026) Copy
https://github.com/PacificBiosciences/R-pbutils
An R software package providing plotting and convenience functions.
Proper citation: R-pbutils (RRID:SCR_002995) Copy
https://www.bioconductor.org/packages//2.11/bioc/html/flowQB.html
A fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.
Proper citation: flowQB (RRID:SCR_002144) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowFit.html
A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.
Proper citation: flowFit (RRID:SCR_002286) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.