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http://sun.aei.polsl.pl/kmc/

Software utility for counting k-mers (sequences of consecutive k symbols) in a set of reads from genome sequencing projects. It scans the raw reads and produces a compact representation of all non-unique reads accompanied with number of their occurrences. The algorithm implemented makes use mostly of disk space rather than RAM, which allows to use KMC even on rather typical personal computers.

Proper citation: KMC (RRID:SCR_001245) Copy   

•   Source: SciCrunch Registry

http://minia.genouest.org/dsk/

A k-mer counting software that can count k-mers of large Illumina datasets on laptops and desktop computers.

Proper citation: DSK (RRID:SCR_001246) Copy   

•   Source: SciCrunch Registry

https://gitlab.sib.swiss/EPD/chipseq

Set of software modules for performing common ChIP-seq data analysis tasks across the whole genome, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. The tools are designed to be simple, fast and highly modular. Each program carries out a well-defined data processing procedure that can potentially fit into a pipeline framework. ChIP-Seq is also freely available on a Web interface.

Proper citation: ChIP-seq (RRID:SCR_001237) 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://lamp.icsi.berkeley.edu/lamp/

A software package for the inference of locus-specific ancestry in recently admixed populations. LAMP-LD takes the genotypes of admixed individuals as well as reference haplotype panels approximating the mixing ancestral populations, and outputs the estimated number of alleles from each ancestry in each locus for each individual. The LAMP-LD package also includes the program LAMP-HAP, which processes haplotype data when high-quality phasing is available, and utilizes trio nuclear family designs to improve estimation accuracy. LAMP-LD is based on a window-based processing combined within a hierarchical Hidden Markov Model. It can process 2,3 or 5 mixing populations, and its short per-sample processing time makes it suitable for analyzing large datasets of dense SNP panels. The original program LAMP does not use the LD and therefore is not as accurate, but it is useful in cases where the SNP density is not high enough or when the ancestral haplotypes are unkown.

Proper citation: Local Ancestry in adMixed Populations (RRID:SCR_001258) 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://sourceforge.net/projects/ngsrich/

Software for target enrichment performance for next-generation sequencing.

Proper citation: NGSrich (RRID:SCR_001333) 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/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