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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software package for data transformation for meta-analysis of microarray Data: Transformation of gene expression data to signed probability scale (MCMC/EM methods) and combined differential expression on raw scale: Weighted Z-score after stabilizing mean-variance relation within platform.

Proper citation: metaArray (RRID:SCR_001353) Copy   

•   Source: SciCrunch Registry

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

A regression based software package to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray experiments.

Proper citation: maSigPro (RRID:SCR_001349) Copy   

•   Source: SciCrunch Registry

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

An easy to use software tool for dual color microarray data. Its GUI-Tk based environment lets any non-experienced user perform a basic, but not simple, data analysis just following a wizard. In addition it provides some tools for the developer.

Proper citation: genArise (RRID:SCR_001346) Copy   

•   Source: SciCrunch Registry

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

Software package used to detect extended, diffuse and compact blemishes on microarray chips. It automatically marks the areas in a collection of chips (affybatch objects) and a corrected AffyBatch object is returned, in which the defected areas are substituted with NAs or the median of the values of the same probe in the other chips in the collection.

Proper citation: Harshlight (RRID:SCR_001340) Copy   

•   Source: SciCrunch Registry

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

Software package that takes the MiChip miRNA microarray .grp scanner output files and parses these out, providing summary and plotting functions to analyse MiChip hybridizations. A set of hybridizations is packaged into an ExpressionSet allowing it to be used by other BioConductor packages.

Proper citation: MiChip (RRID:SCR_001341) Copy   

•   Source: SciCrunch Registry

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

Preprocessing and analysis software for single microarrays and microarray batches.

Proper citation: fRMA (RRID:SCR_001345) Copy   

•   Source: SciCrunch Registry

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

Software package that generates microarray quality metrics reports for data in Bioconductor microarray data containers (ExpressionSet, NChannelSet, AffyBatch). Reports contain both general and platform-specific sections. Both one and two color array platforms are supported.

Proper citation: arrayQualityMetrics (RRID:SCR_001335) Copy   

•   Source: SciCrunch Registry

https://rdrr.io/bioc/DEDS/

Software library that contains functions that calculate various statistics of differential expression for microarray data, including t statistics, fold change, F statistics, SAM, moderated t and F statistics and B statistics. It also implements methodology (Differential Expression via Distance Summary) which selects differentially expressed genes by integrating and summarizing a set of statistics using a weighted distance approach.

Proper citation: DEDS (RRID:SCR_001339) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages//2.13/bioc/html/virtualArray.html

Software package that permits the user to combine raw data of different microarray platforms into one virtual array. It consists of several functions that act subsequently in a semi-automatic way. Doing as much of the data combination and letting the user concentrate on analyzing the resulting virtual array.

Proper citation: virtualArray (RRID:SCR_001361) Copy   

•   Source: SciCrunch Registry

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

Software for stepwise normalization functions for cDNA microarray data.

Proper citation: stepNorm (RRID:SCR_001359) Copy   

•   Source: SciCrunch Registry

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

Software package for robust estimation of cDNA microarray intensities with replicates. It uses a Bayesian hierarchical model for the robust estimation. Outliers are modeled explicitly using a t-distribution, and the model also addresses classical issues such as design effects, normalization, transformation, and nonconstant variance.

Proper citation: RAMA (RRID:SCR_001358) Copy   

•   Source: SciCrunch Registry

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

Software packqge for importation, normalization, visualization, and quality control functions to correct identified sources of variability in array-CGH (Comparative genomic hybridization) experiments.

Proper citation: MANOR (RRID:SCR_001305) Copy   

•   Source: SciCrunch Registry

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

Software package using the GASSCO method for correcting for slide-dependent gene-specific dye bias.

Proper citation: dyebias (RRID:SCR_001308) Copy   

•   Source: SciCrunch Registry

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

Software package for a Graphical User Interface for the limma Microarray package.

Proper citation: limmaGUI (RRID:SCR_001306) Copy   

•   Source: SciCrunch Registry

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

Software to identify low-quality data using metrics developed for expression data derived from Formalin-Fixed, Paraffin-Embedded (FFPE) data. Also a function for making Concordance at the Top plots (CAT-plots).

Proper citation: ffpe (RRID:SCR_001307) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/devel/bioc/html/CGHnormaliter.html

Software for normalization and centralization of array comparative genomic hybridization (aCGH) data with imbalanced aberrations. The algorithm uses an iterative procedure that effectively eliminates the influence of imbalanced copy numbers. This leads to a more reliable assessment of copy number alterations (CNAs).

Proper citation: CGHnormaliter (RRID:SCR_002936) Copy   

•   Source: SciCrunch Registry

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

A Bioconductor package that organizes, annotates, analyses and validates fusions reported by different fusion detection tools. The current implementation can deal with output from bellerophontes, chimeraScan, deFuse, fusionCatcher, FusionFinder, FusionHunter, FusionMap, mapSplice, Rsubread, tophat-fusion, tophat-fusion-post and STAR. The core of Chimera is a fusion data structure that can store fusion events detected with any of the aforementioned tools.

Proper citation: Chimera (RRID:SCR_002959) Copy   

•   Source: SciCrunch Registry

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

Software package that provides functions for identification and visualization of potential intramolecular triplex patterns in DNA sequence. The main functionality is to detect the positions of subsequences capable of folding into an intramolecular triplex (H-DNA) in a much larger sequence. The potential H-DNA (triplexes) should be made of as many canonical nucleotide triplets as possible. The package includes visualization showing the exact base-pairing in 1D, 2D or 3D.

Proper citation: Triplex (RRID:SCR_003061) Copy   

•   Source: SciCrunch Registry

http://bioinfo.cipf.es/noiseq/doku.php?id=start

Software used for the identification of differentially expressed genes from count data or previously normalized count data. It empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene is likely to be part of the noise or represent a true differential expression.

Proper citation: NOISeq (RRID:SCR_003002) Copy   

•   Source: SciCrunch Registry

http://r3cseq.genereg.net/Site/index.html

An R/Bioconductor package to identify chromosomal interaction regions generated by chromosome conformation capture (3C) coupled to next-generation sequencing (NGS), a technique termed 3C-seq. It performs data analysis for a number of different experimental designs, as it can analyze 3C-seq data with or without a control experiment and it can be used to facilitate data analysis for experiments with multiple replicates. The r3Cseq package provides functions to perform data normalization, statistical analysis for cis/trans interactions and visualization in order to help scientists identify genomic regions that physically interact with the given viewpoints of interest. This tool greatly facilitates hypothesis generation and the interpretation of experimental results.

Proper citation: r3Cseq (RRID:SCR_003198) Copy   

•   Source: SciCrunch Registry