Tools   Select Another Resource Report Type

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Software package developed for the analysis of affinity-based epitranscriptome shortgun sequencing data from MeRIP-seq (maA-seq). It was built on the basis of the exomePeak MATLAB package with new functions for differential analysis of two experimental conditions to unveil the dynamics in post-transcriptional regulation of the RNA methylome. The exomePeak R-package accepts and statistically supports multiple biological replicates, internally removes PCR artifacts and multi-mapping reads, outputs exome-based binding sites (RNA methylation sites) and detects differential post-transcriptional RNA modification sites between two experimental conditions in term of percentage rather the absolute amount.

Proper citation: ExomePeak (RRID:SCR_001076) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Software R package for the analysis of ChIP-chip data and Affymetrix tiling arrays. It provides functions for data import, quality assessment, and data visualization. The software provides tools for the efficient mapping of genomic sequences.

Proper citation: Starr (RRID:SCR_001071) Copy   

•   Source: SciCrunch Registry

http://bioinfo.au.tsinghua.edu.cn/software/DSGseq/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 15,2025. R software program for identifying differentially spliced genes from two groups of RNA-seq samples. It reads the count file and outputs the differences in the relative abundance of the isoforms of each gene in the annotation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DSGseq (RRID:SCR_001104) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/data/annotation/html/targetscan.Hs.eg.db.html

R software that predicts biological targets of miRNAs by searching for the presence of conserved 8mer and 7mer sites that match the seed region of each miRNA.

Proper citation: targetscan.Hs.eg.db (RRID:SCR_001068) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/rGADEM.html

R package with tools for de novo motif discovery in large-scale genomic sequence data.

Proper citation: rGADEM (RRID:SCR_001091) Copy   

•   Source: SciCrunch Registry

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

Software package that facilitates comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the flowCore functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.

Proper citation: flowWorkspace (RRID:SCR_001155) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.org/peakanalyzer/wiki/

A set of standalone software programs for the automated processing of any genomic loci, with an emphasis on datasets consisting of ChIP-derived signal peaks. The software is able to identify individual binding / modification sites from enrichment loci, retrieve peak region sequences for motif discovery, and integrate experimental data with different classes of annotated elements throughout the genome. PeakAnalyzer requires a peak file and a feature annotation file in BED or GTF format. Complete annotation files for the current builds of the human (HG19) and mouse (MM9) genomes are provided with the software distribution.

Proper citation: PeakAnalyzer (RRID:SCR_001194) 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

http://ginolhac.github.io/mapDamage/

Software for tracking and quantifying DNA damage patterns among ancient DNA sequencing reads generated by Next-Generation Sequencing platforms.

Proper citation: mapDamage (RRID:SCR_001240) 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

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://cran.r-project.org/web/packages/kdetrees/

R package using a non-parametric method for estimating distributions of phylogenetic trees, with the goal of identifying trees that are significantly different from the rest of the trees in the sample.

Proper citation: Kdetrees (RRID:SCR_004522) 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://cran.r-project.org/web/packages/pairheatmap/

A software tool to compare two heatmaps and discover patterns within and across groups. In the context of biology, group can be defined based on gene ontology.

Proper citation: pairheatmap (RRID:SCR_003109) 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://cran.r-project.org/web/packages/enviPat/

Software for fast and very memory-efficient calculation of isotope patterns, subsequent convolution to theoretical envelopes (profiles) plus valley detection and centroidization or intensoid calculation. Batch processing, resolution interpolation, wrapper, adduct calculations and molecular formula parsing.

Proper citation: enviPat (RRID:SCR_003034) 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

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

Software package for quantitative DNA sequencing for chromosomal aberrations providing a robust, cost-effective WGS method for DNA copy number analysis. The genome is divided into non-overlapping fixed-sized bins, number of sequence reads in each counted, adjusted with a simultaneous two-dimensional loess correction for sequence mappability and GC content, and filtered to remove spurious regions in the genome. Downstream steps of segmentation and calling are also implemented via packages DNAcopy and CGHcall, respectively.

Proper citation: QDNAseq (RRID:SCR_003174) Copy   

•   Source: SciCrunch Registry

http://patchwork.r-forge.r-project.org/

Software tool for analyzing and visualizing allele-specific copy numbers and loss-of-heterozygosity in cancer genomes. The data input is in the format of whole-genome sequencing data which enables characterization of genomic alterations ranging in size from point mutations to entire chromosomes. High quality results are obtained even if samples have low coverage, ~4x, low tumor cell content or are aneuploid. Patchwork takes BAM files as input whereas PatchworkCG takes input from CompleteGenomics files. TAPS performs the same analysis as Patchwork but for microarray data.

Proper citation: Patchwork (RRID:SCR_000072) Copy   

•   Source: SciCrunch Registry