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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.
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
http://www.bioconductor.org/packages/release/bioc/html/ADaCGH2.html
Software for analysis and plotting of array comparative genomic hybridization (CGH) data. It allows usage of Circular Binary Segementation, wavelet-based smoothing (both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar), HMM, BioHMM, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.
Proper citation: ADaCGH2 (RRID:SCR_001981) 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/TEQC.html
An R/Bioconductor package for quality assessment of target enrichment experiments. This package provides functionalities for assessing and visualizing the quality of the target enrichment process, like specificity and sensitivity of the capture, per-target read coverage and so on.
Proper citation: TEQC (RRID:SCR_001943) 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://artiva.gene-networks.net/artiva-2/
Algorithm available in a R package that is a statistical framework to infer time-varying structures of gene-regulation networks.
Proper citation: ARTIVA (RRID:SCR_011946) Copy
http://sourceforge.net/projects/adtex/
A software tool for copy number variation (CNV) detection for whole-exome data from paired tumour/matched normal samples.
Proper citation: ADTEx (RRID:SCR_012059) Copy
http://www.few.vu.nl/~mavdwiel/ShrinkBayes.html
Software for detecting differential features across the entire spectrum, including the lower counts.
Proper citation: ShrinkSeq (RRID:SCR_012022) Copy
http://www.stat.purdue.edu/~doerge/software/TSPM.R
Software using a statistical approach, based on a two-stage Poisson model, for modeling RNA sequencing data and testing for biologically important changes in gene expression.
Proper citation: TSPM.R (RRID:SCR_012021) Copy
http://cran.r-project.org/web/packages/MultiPhen/
Software package that performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).
Proper citation: MultiPhen (RRID:SCR_003498) Copy
https://github.com/alyssafrazee/polyester
An R package designed to simulate RNA sequencing experiments with differential transcript expression. Given a set of annotated transcripts, it will simulate the steps of an RNA-seq experiment (fragmentation, reverse-complementing, and sequencing) and produce files containing simulated RNA-seq reads. Simulated reads can be analyzed using a choice of downstream analysis tools. Polyester has a built-in wrapper function to simulate a case/control experiment with differential transcript expression and biological replicates. Users are able to set the levels of differential expression at transcripts of their choosing. This means they know which transcripts are differentially expressed in the simulated dataset, so accuracy of statistical methods for differential expression detection can be analyzed. Polyester offers several unique features: * Built-in functionality to simulate differential expression at the transcript level * Ability to explicitly set differential expression signal strength * Simulation of small datasets, since large RNA-seq datasets can require lots of time and computing resources to analyze * Generation of raw RNA-seq reads, as opposed to alignments or transcript-level abundance estimates * Transparency/open-source code
Proper citation: Polyester (RRID:SCR_003602) Copy
http://www.stat.purdue.edu/~cheng70/code.html
A classification software for DNA methylation profiling with bisulphite next-generation sequencing data.
Proper citation: MSC (RRID:SCR_005450) Copy
http://www.bioconductor.org/packages/devel/bioc/html/DMRforPairs.html
Software for identifying differentially methylated regions between unique samples using array based methylation profiles. It allows researchers to compare n greater than or equal to 2 unique samples with regard to their methylation profile. The (pairwise) comparison of n unique single samples distinguishesit from other existing pipelines as these often compare groups of samples in either single CpG locus or region based analysis. DMRforPairs defines regions of interest as genomic ranges with sufficient probes located in close proximity to each other. Probes in one region are optionally annotated to the same functional class(es). Differential methylation is evaluated by comparing the methylation values within each region between individual samples and (if the difference is sufficiently large), testing this difference formally for statistical significance.
Proper citation: DMRforPairs (RRID:SCR_005702) Copy
http://cran.r-project.org/web/packages/MetaQC/
Software for quality control and diagnosis for microarray meta-analysis. Quantitative quality control measures include: (1) internal homogeneity of co-expression structure among studies (internal quality control; IQC); (2) external consistency of co-expression structure correlating with pathway database (external quality control; EQC); (3) accuracy of differentially expressed gene detection (accuracy quality control; AQCg) or pathway identification (AQCp); (4) consistency of differential expression ranking in genes (consistency quality control; CQCg) or pathways (CQCp). For each quality control index, the p-values from statistical hypothesis testing are minus log transformed and PCA biplots were applied to assist visualization and decision. Results generate systematic suggestions to exclude problematic studies in microarray meta-analysis and potentially can be extended to GWAS or other types of genomic meta-analysis. The identified problematic studies can be scrutinized to identify technical and biological causes (e.g. sample size, platform, tissue collection, preprocessing etc) of their bad quality or irreproducibility for final inclusion / exclusion decision.
Proper citation: MetaQC (RRID:SCR_006000) Copy
http://cran.r-project.org/web/packages/QCGWAS/
Software tools for (automated and manual) quality control of the results of Genome Wide Association Studies.
Proper citation: QCGWAS (RRID:SCR_006408) Copy
http://www.bioconductor.org/packages/release/bioc/html/DSS.html
Software R library performing differntial analysis for count-based sequencing data. It detectes differentially expressed genes (DEGs) from RNA-seq, and differentially methylated loci or regions (DML/DMRs) from bisulfite sequencing (BS-seq). The core of DSS is a new dispersion shrinkage method for estimating the dispersion parameter from Gamma-Poisson or Beta-Binomial distributions.
Proper citation: DSS (RRID:SCR_002754) Copy
http://cran.r-project.org/src/contrib/Archive/aCGH.Spline/
An R package for array comparative genomic hybridization (aCGH) dye bias normalization.
Proper citation: aCGH.Spline (RRID:SCR_002927) 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
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