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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

https://bioconductor.org/packages/release/bioc/html/oligo.html

Software package to analyze oligonucleotide arrays (expression/SNP/tiling/exon) at probe-level. It currently supports Affymetrix (CEL files) and NimbleGen arrays (XYS files).

Proper citation: oligo (RRID:SCR_015729) Copy   

•   Source: SciCrunch Registry

http://CRAN.R-project.org/package=LMERConvenienceFunctions

Software package that performs backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization.

Proper citation: R package: LMERConvenienceFunctions (RRID:SCR_015658) Copy   

•   Source: SciCrunch Registry

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

Data visualization software inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs as well as most nonstandard requirements.

Proper citation: R package: lattice (RRID:SCR_015662) Copy   

•   Source: SciCrunch Registry

https://github.com/hpardoe/napr/

Cloud-based framework that allows users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The provided age prediction models were trained using (i) relevance vector machines and (ii) Gaussian processes machine learning methods applied to cortical thickness surfaces obtained using Freesurfer v5.3.

Proper citation: NAPR: Neuroanatomical Age Prediction using R (RRID:SCR_015759) Copy   

•   Source: SciCrunch Registry

http://www.statsmodels.org/

Statistical software that provides classes and functions for the estimation of many different models, as well as for conducting statistical tests, and statistical data exploration. The results are tested against existing statistical packages to ensure that they are correct. http://conference.scipy.org/proceedings/scipy2010/seabold.html

Proper citation: statsmodel (RRID:SCR_016074) Copy   

•   Source: SciCrunch Registry

http://hyphy.org/

Open source software package for comparative sequence analysis using stochastic evolutionary models. Used for analysis of genetic sequence data in particular the inference of natural selection using techniques in phylogenetics, molecular evolution, and machine learning.

Proper citation: HyPhy (RRID:SCR_016162) Copy   

•   Source: SciCrunch Registry

https://github.com/sdparekh/zUMIs

Software pipeline to process RNA-seq data with UMIs. The input to this pipeline is paired-end fastq files, where one read contains the cDNA sequence and the other read contains UMI and Cell Barcode information.

Proper citation: zUMIs (RRID:SCR_016139) Copy   

•   Source: SciCrunch Registry

http://wpicr.wpic.pitt.edu/WPICCompGen/genomic_control/genomic_control.htm

Software application where GC implements the genomic control models. GCF implements the basic Genomic Control approach, but adjusts the p-values for uncertainty in the estimated effect of substructure. This approach is preferable if a large number of tests will be evaluated because it provides a more accurrate assessment of the significance level for small p-values. (entry from Genetic Analysis Software)

Proper citation: GC/GCF (RRID:SCR_009075) Copy   

•   Source: SciCrunch Registry

http://wpicr.wpic.pitt.edu/WPICCompGen/newcovibd/covibd.htm

Software application that refines linkage analysis of affected sibpairs by considering attributes or environmental exposures thought to affect disease liability. This refinement utilizes a mixture model in which a disease mutation segregates in only a fraction of the sibships, with the rest of the sibships unlinked. Covariate information is used to predict membership within the two groups corresponding to the linked and unlinked sibships. The pre-clustering model uses covariate information to first form two probabilistic clusters and then tests for excess IBD-sharing in the clusters. The Cov-IBD model determines probabilistic group membership by joint consideration of covariate and IBD values. (entry from Genetic Analysis Software)

Proper citation: COVIBD (RRID:SCR_009155) Copy   

•   Source: SciCrunch Registry

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

Software R package for meta-analysis for microarrays. It combines either p-values or modified effect sizes from different studies to find differentially expressed genes.

Proper citation: metaMA (RRID:SCR_000408) Copy   

•   Source: SciCrunch Registry

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

Software package dedicated to the handling of molecular marker data for multivariate analysis. This package is related to ADE4, a R package for multivariate analysis, graphics, phylogeny and spatial analysis. (entry from Genetic Analysis Software)

Proper citation: ADEGENET (RRID:SCR_000825) Copy   

•   Source: SciCrunch Registry

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

Software providing a set of functions to generate high-resolution Venn and Euler plots. Includes handling for several special cases, including two-case scaling, and extensive customization of plot shape and structure.

Proper citation: VennDiagram (RRID:SCR_002414) Copy   

•   Source: SciCrunch Registry

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

Software that provides guidelines for the whole process of metabolomic data interpretation, from data pre-processing, to dataset exploration and visualization, to identification of potentially interesting metabolites. Guidelines outline the following processes: preprocessing of high-throughput data (normalization and scalings); principal component analysis with help tool for choosing best-separating principal components and automatic testing for outliers; automatic univariate analysis for parametric and non-parametric data, with generation of specific reports (volcano and box plots); partial least square discriminant analysis (PLS-DA); orthogonal partial least square discriminant analysis (OPLS-DA); Statistical Total Correlation Spectroscopy (STOCSY); and Ratio Analysis Nuclear Magnetic Resonance (NMR) Spectroscopy (RANSY).

Proper citation: MUMA (RRID:SCR_002412) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/nondetects.html

Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data.

Proper citation: nondetects (RRID:SCR_001702) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/a/brain.org.au/ctp/

Software package with functions that will help researchers plan how many subjects per group need to be included in an MRI-based cortical thickness study to ensure a thickness difference is detected. The package requires cortical thickness mapping and co-registration to be carried out using Freesurfer. The power analyses are implemented in the R software package., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: cortex (RRID:SCR_002467) Copy   

•   Source: SciCrunch Registry