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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/unifiedWMWqPCR.html
Software package that implements the unified Wilcoxon-Mann-Whitney Test for qPCR data. This modified test allows for testing differential expression in qPCR data.
Proper citation: unifiedWMWqPCR (RRID:SCR_001706) Copy
http://www.bioconductor.org/packages/release/bioc/html/RSVSim.html
A software package for the simulation of deletions, insertions, inversions, tandem duplications and translocations of various sizes in any genome available as FASTA-file or data package in R. SV breakpoints can be placed uniformly accross the whole genome, with a bias towards repeat regions and regions of high homology (for hg19) or at user-supplied coordinates.
Proper citation: RSVSim (RRID:SCR_001777) Copy
http://www.bioconductor.org/packages/release/bioc/html/TCC.html
An R package that provides a series of functions for differential expression analysis from RNA-seq count data using robust normalization strategy (called DEGES). The basic idea of DEGES is that potential differentially expressed genes or transcripts (DEGs) among compared samples should be removed before data normalization to obtain a well-ranked gene list where true DEGs are top-ranked and non-DEGs are bottom ranked. This can be done by performing a multi-step normalization strategy (called DEGES for DEG elimination strategy). A major characteristic of TCC is to provide the robust normalization methods for several kinds of count data (two-group with or without replicates, multi-group/multi-factor, and so on) by virtue of the use of combinations of functions in other sophisticated packages (especially edgeR, DESeq, and baySeq).
Proper citation: TCC (RRID:SCR_001779) 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
http://www.bioconductor.org/packages/2.13/bioc/html/cqn.html
A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.
Proper citation: CQN (RRID:SCR_001786) 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
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://www.bioconductor.org/packages/2.11/bioc/html/ShortRead.html
Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats.
Proper citation: ShortRead (RRID:SCR_006813) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/RIPSeeker.html
A statistical software package for identifying protein-associated transcripts from RIP-seq experiments. Infer and discriminate RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.
Proper citation: RIPSeeker (RRID:SCR_006810) Copy
http://bioconductor.org/packages/2.9/bioc/html/RamiGO.html
Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape.
Proper citation: RamiGO (RRID:SCR_006922) Copy
http://www.bioconductor.org/packages/devel/bioc/html/deepSNV.html
Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants).
Proper citation: deepSNV (RRID:SCR_006214) Copy
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
https://rdrr.io/bioc/yaqcaffy/
Software package for quality control of Affymetrix GeneChip expression data and reproducibility analysis of human whole genome chips with the MAQC reference datasets.
Proper citation: yaqcaffy (RRID:SCR_001295) Copy
http://www.bioconductor.org/packages/release/bioc/html/ChIPsim.html
Software package providing a general framework for the simulation of ChIP-seq data. Although currently focused on nucleosome positioning the package is designed to support different types of experiments.
Proper citation: ChIPsim (RRID:SCR_001293) Copy
http://www.bioconductor.org/packages/release/bioc/html/methyAnalysis.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software package for DNA methylation data analysis and visualization. A new class is defined to keep the chromosome location information together with the data. The current version of the package mainly focuses on analyzing the Illumina Infinium methylation array data, but most methods can be generalized to other methylation array or sequencing data.
Proper citation: methyAnalysis (RRID:SCR_001290) Copy
http://julian-gehring.github.io/les/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software package that estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.
Proper citation: les (RRID:SCR_001291) Copy
https://www.bioconductor.org/packages//2.10/bioc/html/beadarraySNP.html
Software package for importing data from Illumina SNP experiments and performing copy number calculations and reports.
Proper citation: beadarraySNP (RRID:SCR_001281) Copy
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