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https://www.bioconductor.org/packages//2.12/bioc/html/CALIB.html
Software package that contains functions for normalizing spotted microarray data, based on a physically motivated calibration model. The model parameters and error distributions are estimated from external control spikes.
Proper citation: CALIB (RRID:SCR_001338) Copy
http://www.bioconductor.org/packages/release/bioc/html/LPE.html
Software library used to do significance analysis of microarray data with small number of replicates. It uses resampling based FDR adjustment, and gives less conservative results than traditional "BH" or "BY" procedures. Data accepted is raw data in txt format from MAS4, MAS5 or dChip. Data can also be supplied after normalization. LPE library is primarily used for analyzing data between two conditions.
Proper citation: LPE (RRID:SCR_001364) Copy
http://www.bioconductor.org/packages/release/bioc/html/aroma.light.html
Light-weight software package for normalization and visualization of microarray data using only basic R data types. Software can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.
Proper citation: aroma.light (RRID:SCR_001312) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/BeadDataPackR.html
Software that provides functionality for the compression and decompression of raw bead-level data from the Illumina BeadArray platform.
Proper citation: BeadDataPackR (RRID:SCR_001310) Copy
https://www.bioconductor.org/packages/release/bioc/html/OLIN.html
Software functions for normalization of two-color microarrays by optimised local regression and for detection of artifacts in microarray data.
Proper citation: OLIN (RRID:SCR_001304) Copy
http://www.bioconductor.org/packages/release/bioc/html/qcmetrics.html
Software package that provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.
Proper citation: qcmetrics (RRID:SCR_001303) Copy
https://www.bioconductor.org/packages//2.12/bioc/html/dexus.html
Software package that identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. It works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. It does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.
Proper citation: DEXUS (RRID:SCR_001309) Copy
Retrieve known single-nucleotide polymorphisms (SNPs) by position or by association with a gene; save, filter, analyze, display or export SNP sets; explore known genes using names or chromosome positions.
Proper citation: SNPper (RRID:SCR_001963) 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
https://code.google.com/p/tbrowse/
Software providing a HTML5/javascript based browser for visualizing RNA-seq results in the familiar track layout of common genome browser. But given the quantitative nature of RNA-seq data, in addition to visualizing sequence coverage, the browser quantitates transcript abundance across regions of interest. The HTML5 functionality is made of use to render all the tracks using the canvas drawing element. This greatly reduces the load on servers and allows for rich interactive graphics without the need for third-party plugins. Furthermore, this framework completely segregates data from visualization, making development much easier. The browser is designed to run on all modern browsers: Firefox, Safari, Chrome, Opera and Internet Explorer (though not recommended).
Proper citation: tbrowse (RRID:SCR_001918) Copy
https://github.com/xflouris/gapmis
A software tool for pairwise sequence alignment with a single gap.
Proper citation: GapMis (RRID:SCR_001999) Copy
A software program for functional annotation of genomic single nucleotide polymorphisms (SNPs) which is available to download as a single file executable for WINDOWS users with limited computational experience and as a Python script for Mac OS and Linux users. It needs only a tab delimited text file containing SNP locations, reference nucleotide and SNPs in different strains along with a reference genome sequence in standard GenBank or EMBL format. It annotates SNPs as synonymous, non-synonymous or nonsense. Non-synonymous SNPs in start and stop codons are separated as non-start and non-stop SNPs, respectively. SNPs in overlapping features are annotated separately for each feature and multiple nucleotide polymorphisms (MNPs) within a codon are combined prior to annotation. A workflow has also been developed for use in Galaxy to map short reads to a reference genome and extract and annotate the SNPs.
Proper citation: TRAMS (RRID:SCR_002003) Copy
http://drpowell.github.io/vennt/
A web-tool to generate dynamic Venn diagrams for differential gene expression.
Proper citation: Vennt (RRID:SCR_002083) 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
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
https://github.com/TGAC/miso-lims
Open source software for a Laboratory Information Management System (LIMS) for NGS sequencing centres.
Proper citation: miso-lims (RRID:SCR_002259) 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
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