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

A software package that tests groups of covariates (or features) for association with a response variable. The package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.

Proper citation: globaltest (RRID:SCR_001256) Copy   

•   Source: SciCrunch Registry

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

Software package providing a variable selection method for applying survival analysis to microarray data.

Proper citation: iterativeBMAsurv (RRID:SCR_001254) Copy   

•   Source: SciCrunch Registry

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

Software for classes and statistical methods for large single nucleotide polymorphism (SNP) association studies.

Proper citation: snpStats: SnpMatrix and XSnpMatrix classes and methods (RRID:SCR_001249) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages//2.12/bioc/html/exomeCopy.html

Software package for detection of copy number variants (CNV) from exome sequencing samples, including unpaired samples. The package implements a hidden Markov model which uses positional covariates, such as background read depth and GC-content, to simultaneously normalize and segment the samples into regions of constant copy count.

Proper citation: exomeCopy (RRID:SCR_001276) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/SMAP.html

Software package providing functions and classes for DNA copy number profiling of array-CGH data.

Proper citation: SMAP (RRID:SCR_001270) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/MinimumDistance.html

Software package for analysis of de novo copy number variants in trios from high-dimensional genotyping platforms.

Proper citation: MinimumDistance (RRID:SCR_001260) Copy   

•   Source: SciCrunch Registry

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

Software package for Illumina 450 methylation array normalization and metrics including 15 flavors of betas and three performance metrics, with methods for objects produced by methylumi, minfi and IMA packages.

Proper citation: wateRmelon (RRID:SCR_001296) Copy   

•   Source: SciCrunch Registry

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

Software package that provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Proper citation: factDesign (RRID:SCR_001330) Copy   

•   Source: SciCrunch Registry

https://rdrr.io/bioc/spotSegmentation/

Model-based software package for processing microarray images so as to estimate foreground and background intensities. The method starts with a very simple but effective automatic gridding method, and then proceeds in two steps. The first step applies model-based clustering to the distribution of pixel intensities, using the Bayesian Information Criterion (BIC) to choose the number of groups up to a maximum of three. The second step is spatial, finding the large spatially connected components in each cluster of pixels. The method thus combines the strengths of the histogram-based and spatial approaches. It deals effectively with inner holes in spots and with artifacts. It also provides a formal inferential basis for deciding when the spot is blank, namely when the BIC favors one group over two or three.

Proper citation: spotSegmentation (RRID:SCR_001298) Copy   

•   Source: SciCrunch Registry

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

Software for adaptive Gene Picking for Microarray Expression Data Analysis.

Proper citation: pickgene (RRID:SCR_001331) Copy   

•   Source: SciCrunch Registry

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

Software library that provides a graphical interface for microarray gene and exon level analysis as well as miRNA/mRNA-seq data analysis. The package was developed to simplify the use of Bioconductor tools for beginners having limited or no experience in writing R code.

Proper citation: oneChannelGUI (RRID:SCR_001325) Copy   

•   Source: SciCrunch Registry

http://itb.biologie.hu-berlin.de/~futschik/software/R/cycle/index.html

Software package for the identification of periodically expressed genes using Fourier analysis and the statistical assessment of significance using different background models.

Proper citation: CYCLE (RRID:SCR_001328) Copy   

•   Source: SciCrunch Registry

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

Software package for Data Transformation and Identification of Differentially Expressed Genes in Gene Expression Arrays.

Proper citation: LMGene (RRID:SCR_001329) Copy   

•   Source: SciCrunch Registry

http://bioinf.wehi.edu.au/affylmGUI/

R software package providing a Graphical User Interface for analysis of Affymetrix microarray data, using the limma package (Linear Models for MicroArray data). While not as powerful as limma to the expert user, it offers a simple point-and-click interface to many of the commonly-used limma and affy functions. You need to have R 1.9.0 or later, Tcl/Tk 8.3 or later (ActiveTcl for Windows, Tcl/Tk Source for Linux/Unix, or X11 Tcl/Tk for MacOSX) and the limma, affylmGUI, and tkrplot R packages. It has been succesfully tested on Windows 2000, Windows XP, RedHat/Fedora Linux, and on Mac OSX with X11.

Proper citation: affylmGUI (RRID:SCR_001320) Copy   

•   Source: SciCrunch Registry

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

Software functions for performing print-run and array level quality assessment.

Proper citation: arrayQuality (RRID:SCR_001315) Copy   

•   Source: SciCrunch Registry

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

Software package for quality assessment and to detect differentially expressed genes for the Affymetrix GeneChips, including both 3' -arrays and gene 1.0-ST arrays. The package generates comprehensive analysis reports in HTML format. Hyperlinks on the report page will lead to a series of QC plots, processed data, and differentially expressed gene lists. Differentially expressed genes are reported in tabular format with annotations hyperlinked to online biological databases.

Proper citation: ArrayTools (RRID:SCR_001313) Copy   

•   Source: SciCrunch Registry

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

Software for fitting probe-level models and tools using these models. Probe-level models (PLM) based quality assessment tools.

Proper citation: affyPLM (RRID:SCR_001319) Copy   

•   Source: SciCrunch Registry

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

Software to detect differential expression in microarray and proteomics datasets. Its use has been shown to improve the detection of differentially expressed genes or proteins in these datasets.

Proper citation: plgem (RRID:SCR_001355) Copy   

•   Source: SciCrunch Registry

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

Software package that contains the function to assess the batch sourcs by fitting all sources as random effects including two-way interaction terms in the Mixed Model (depends on lme4 package) to selected principal components, which were obtained from the original data correlation matrix. This package accompanies the book Batch Effects and Noise in Microarray Experiements, chapter 12.

Proper citation: PVCA (RRID:SCR_001356) Copy   

•   Source: SciCrunch Registry

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