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http://denverlab.science.oregonstate.edu/tileqc/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May,10, 2021.Software providing a visually oriented tile based approach to error detection for Solexa next-gen sequencing data. It is written in R and has both qualitative and quantitative error detection features. This software was written with the idea that the researcher's visual pattern recognition is the best way to detect novel errors and contains variety of ways to visualize that data. Once a new type of error is identified the data extraction features of the program may then be used as a starting point for the programmatic detection and/or filtration of similar errors. A supplementary role of tileQC is to convert the Eland and Q-score data contained within the Solexa "*_prb.txt" and "*_eland_results.txt" text files to a more flexible database form. Once in database form, tileQC simplifies the mechanics of interacting with that data and supplements standard SQL with an expression subsitution mechanism that allows R to be easily comingled with SQL. This system requires access to a mySQL server and the R package RMySQL as well as a few standard UNIX tools (also available on Windows and Macintosh).

Proper citation: TileQC (RRID:SCR_001229) Copy   

•   Source: SciCrunch Registry

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

Software R package for analysis of case-control studies in genetic epidemiology.

Proper citation: CGEN (RRID:SCR_001251) Copy   

•   Source: SciCrunch Registry

http://med.stanford.edu/tanglab/software/saber.html

Software program suitable for genome-scale data which uses a Markov-hidden Markov model (MHMM) to estimate local ancestry. The MHMM makes it possible to identify genomic blocks of a particular ancestry by use of any high-density single-nucleotide-polymorphism panel. One application is to perform admixture mapping without genotyping special ancestry-informative-marker panels.

Proper citation: SABER (RRID:SCR_001257) Copy   

•   Source: SciCrunch Registry

http://www.wpic.pitt.edu/wpiccompgen/GemTools/GemTools.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software tools for modeling genetic ancestry based on the single nucleotide polymorphism (SNP) information. This package of functions helps the user account for genetic ancestry of a large number of individuals using spectral graph theory and projections to break a large problem into smaller pieces and calculate genetic ancestry information efficiently, i.e., a divide and conquer (dac) strategy. It is completely written in R and runs on any platform that supports R.

Proper citation: GemTools (RRID:SCR_001259) Copy   

•   Source: SciCrunch Registry

http://artiva.gene-networks.net/artiva-2/

Algorithm available in a R package that is a statistical framework to infer time-varying structures of gene-regulation networks.

Proper citation: ARTIVA (RRID:SCR_011946) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/adtex/

A software tool for copy number variation (CNV) detection for whole-exome data from paired tumour/matched normal samples.

Proper citation: ADTEx (RRID:SCR_012059) Copy   

•   Source: SciCrunch Registry

http://www.few.vu.nl/~mavdwiel/ShrinkBayes.html

Software for detecting differential features across the entire spectrum, including the lower counts.

Proper citation: ShrinkSeq (RRID:SCR_012022) Copy   

•   Source: SciCrunch Registry

http://www.stat.purdue.edu/~doerge/software/TSPM.R

Software using a statistical approach, based on a two-stage Poisson model, for modeling RNA sequencing data and testing for biologically important changes in gene expression.

Proper citation: TSPM.R (RRID:SCR_012021) Copy   

•   Source: SciCrunch Registry

http://folk.uio.no/thoree/FEST/

An R package for simulations and likelihood calculations of pair-wise family relationships using DNA marker data. (entry from Genetic Analysis Software)

Proper citation: R/FEST (RRID:SCR_013347) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/edgeR/

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

Proper citation: edgeR (RRID:SCR_012802) Copy   

•   Source: SciCrunch Registry

http://www.dkfz.de/en/epidemiologie-krebserkrankungen/software/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software)

Proper citation: PIAGE (RRID:SCR_013124) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/QCGWAS/

Software tools for (automated and manual) quality control of the results of Genome Wide Association Studies.

Proper citation: QCGWAS (RRID:SCR_006408) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/HMP/index.html

An R-package which uses Dirichlet-Multinomial distribution to perform formal hypothesis testing on the species abundance distribution of human microbiome data, and to calculate power and sample size requirements for human microbiome experiments.

Proper citation: Hypothesis Testing and Power Calculations for Comparing Metagenomic Samples from HMP (RRID:SCR_014612) Copy   

•   Source: SciCrunch Registry

http://stat.ethz.ch/R-manual/R-patched/library/stats/html/hclust.html

R documentation for hierarchical cluster analysis on a set of dissimilarities for n objects. Each object is assigned to its own cluster, which an algorithm proceeds through iteratively. Two of the most similar clusters are joined at each stage until there is a single cluster. Distances between clusters are recomputed at each stage by the Lance–Williams dissimilarity update formula according to the particular clustering method being used. Clustering methods include: Ward's minimum variance method, complete linkage method, and single linkage method.

Proper citation: Hierarchical Clustering (RRID:SCR_014673) Copy   

•   Source: SciCrunch Registry

https://github.com/jakejh/zeitzeiger

R package for regularized supervised learning on high-dimensional data from an oscillatory system. Zeitzeiger can quantify rhythmic behavior, make accurate predictions, identify major patterns and important features, and detect when the oscillator is perturbed.

Proper citation: Zeitzeiger (RRID:SCR_014791) Copy   

•   Source: SciCrunch Registry

http://stat.ethz.ch/R-manual/R-patched/library/stats/html/prcomp.html

R documentation for a function that performs a principal components analysis on a given data matrix and returns the results as an object of class prcomp.

Proper citation: Principal Components Analysis (RRID:SCR_014676) Copy   

•   Source: SciCrunch Registry

http://stat.ethz.ch/R-manual/R-devel/library/MASS/html/lda.html

R documentation for a function to perform linear discriminant analysis; specifically, to detect if the within-class covariance matrix is singular.

Proper citation: Linear Discriminant Analysis (RRID:SCR_014675) Copy   

•   Source: SciCrunch Registry

http://www.bioinf.jku.at/software/farms/farms.html

Software using a model-based technique for summarizing high-density oligonucleotide array data at probe level for Affymetrix GeneChips. It is based on a factor analysis model for which a Bayesian maximum a posteriori method optimizes the model parameters under the assumption of Gaussian measurement noise.

Proper citation: FARMS (RRID:SCR_001344) Copy   

•   Source: SciCrunch Registry

https://github.com/nolanlab/cytospade

Cytoscape plugin that provides a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events (SPADE) algorithm for tree-based analysis and visualization of high-dimensional cytometry data.

Proper citation: CytoSPADE (RRID:SCR_001457) Copy   

•   Source: SciCrunch Registry

http://www.well.ox.ac.uk/happy/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package for Multipoint QTL Mapping in Genetically Heterogeneous Animals (entry from Genetic Analysis Software) The method is implemented in a C-program and there is now an R version of HAPPY. You can run HAPPY remotely from their web server using your own data (or try it out on the data provided for download).

Proper citation: Happy (RRID:SCR_001395) Copy   

•   Source: SciCrunch Registry