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https://cran.r-project.org/src/contrib/Archive/demi/

R package for estimating differential expression from multiple indicators that capitalizes on the high number of concurrent measurements. It extends to various experimental designs and target categories (transcripts, genes, genomic regions) as well as small sample sizes.

Proper citation: DEMI (RRID:SCR_002291) Copy   

•   Source: SciCrunch Registry

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

A Bioconductor software package for high throughput flow cytometry that provides S4 data structures and basic functions.

Proper citation: flowCore (RRID:SCR_002205) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/nptk/

Non-rigid registration / distortion correction tools for enhanced functional localization through the registration of EPI fMRI to high-resolution anatomical MRI.

Proper citation: NPTK (RRID:SCR_002496) Copy   

•   Source: SciCrunch Registry

http://www.ncdc.noaa.gov/paleo/softlib/paleovu.html

A complete browse and visualization tool for all types of paleoclimate and paleoecological data (Version 1.0 for Windows 3.1 and the Macintosh). Point and click to create queries, list site information, display or plot variables and data, or export the data for further processing and analysis. Note: PaleoVu is no longer maintained or supported. Data content is not being updated, and compatibility problems may exist with newer operating systems. PaleoVu is still suitable as a teaching tool, but our internet-based browsing tools are the most up to date source for paleoclimatic data.

Proper citation: PaleoVu (RRID:SCR_002411) Copy   

•   Source: SciCrunch Registry

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

Software package for the analysis of flow cytometry bead data. It extends flowCore to provide functionality specific to bead data. One of the goals of this package is to automate analysis of bead data for the purpose of normalization.

Proper citation: flowBeads (RRID:SCR_002440) Copy   

•   Source: SciCrunch Registry

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

A software package to analyze flow cytometric data using gate information to follow population / community dynamics.

Proper citation: flowCyBar (RRID:SCR_002319) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/bric/ideagroup/free-softwares/hammer

Software for both groupwise registration and longitudinal registration, which are the necessary steps for many brain-related applications. Specifically, groupwise registration is important for unbiased analysis of a large set of MR brain images. Therefore, in this software package, they have included two of their recently-developed groupwise registration algorithms: 1) Improved unbiased groupwise registration guided with the sharp group-mean image, and 2) Hierarchical feature-based groupwise registration with implicit template (Groupwise-HAMMER for short). On the other hand, they also included their recently-developed groupwise longitudinal registration algorithm that aligns not only the longitudinal image sequence for each subject, but also align all longitudinal image sequences of all subjects to the common space simultaneously.

Proper citation: GLIRT (RRID:SCR_002390) Copy   

•   Source: SciCrunch Registry

https://github.com/BRAINSia/BRAINSTools/tree/master/BRAINSFit

A program for registering images with with mutual information based metric. Several registration options are given for 3,6, 9,12,16 parameter (i.e. translate, rigid, scale, scale/skew, full affine) based constraints for the registration. The program uses the Slicer3 execution model framework to define the command line arguments and can be fully integrated with Slicer3 using the module discovery capabilities of Slicer3

Proper citation: BRAINSFit (RRID:SCR_002340) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/devel/bioc/html/MBASED.html

Software package containing functions for allele-specific gene expression (ASE) analysis using meta-analysis based allele-specific expression detection.

Proper citation: MBASED (RRID:SCR_002584) Copy   

•   Source: SciCrunch Registry

http://fmri.wfubmc.edu/software/Bpm

Software toolbox that performs SPM analysis with voxel-wise imaging covariates. The BPM toolbox incorporates information obtained from other modalities as regressors in a voxel-wise analysis, thereby permitting investigation of more sophisticated hypotheses. The BPM toolbox has been developed in Matlab with a user-friendly interface for performing analyses, including voxel-wise multimodal correlation, ANCOVA, and multiple regression. It has a high degree of integration with the SPM (statistical parametric mapping) software relying on it for visualization and statistical inference. Furthermore, statistical inference for a correlation field, rather than a widely used T-field, has been implemented in the correlation analysis for more accurate results. Requirements: * SPM2 or SPM5 * MATLAB version 6.5 or higher

Proper citation: WFU Biological Parametric Mapping Toolbox (RRID:SCR_002613) Copy   

•   Source: SciCrunch Registry

http://www.vaa3d.org

A handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. Vaa3D is a cross-platform (Mac, Linux, and Windows) tool for visualizing large-scale (gigabytes, and 64-bit data) 3D/4D/5D image stacks and various surface data. It is also a container of powerful modules for 3D image analysis (cell segmentation, neuron tracing, brain registration, annotation, quantitative measurement and statistics, etc) and data management. Vaa3D is very easy to be extended via a powerful plugin interface. For example, many ITK tools are being converted to Vaa3D Plugins. Vaa3D-Neuron is built upon Vaa3D to make 3D neuron reconstruction much easier. In a recent Nature Biotechnology paper (2010, 28(4), pp.348-353) about Vaa3D and Vaa3D-Neuron, an order of magnitude of performance improvement (both reconstruction accuracy and speed) was achieved compared to other tools.

Proper citation: Vaa3D (RRID:SCR_002609) Copy   

•   Source: SciCrunch Registry

http://www.turtleseg.org

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. An interactive segmentation tool originally designed for 3D medical images. Accurate and automatic 3D medical image segmentation remains an elusive goal and manual intervention is often unavoidable. TurtleSeg implements techniques that allow the user to provide intuitive yet minimal interaction for guiding the 3D segmentation process.

Proper citation: TurtleSeg (RRID:SCR_002605) Copy   

•   Source: SciCrunch Registry

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

Software for quality control and diagnosis for microarray meta-analysis. Quantitative quality control measures include: (1) internal homogeneity of co-expression structure among studies (internal quality control; IQC); (2) external consistency of co-expression structure correlating with pathway database (external quality control; EQC); (3) accuracy of differentially expressed gene detection (accuracy quality control; AQCg) or pathway identification (AQCp); (4) consistency of differential expression ranking in genes (consistency quality control; CQCg) or pathways (CQCp). For each quality control index, the p-values from statistical hypothesis testing are minus log transformed and PCA biplots were applied to assist visualization and decision. Results generate systematic suggestions to exclude problematic studies in microarray meta-analysis and potentially can be extended to GWAS or other types of genomic meta-analysis. The identified problematic studies can be scrutinized to identify technical and biological causes (e.g. sample size, platform, tissue collection, preprocessing etc) of their bad quality or irreproducibility for final inclusion / exclusion decision.

Proper citation: MetaQC (RRID:SCR_006000) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/abc

A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput.

Proper citation: ABC (Atlas Based Classification) (RRID:SCR_005981) Copy   

•   Source: SciCrunch Registry

http://cibsr.stanford.edu/tools/

A multiplatform, highly modular image processing and visualization application which is under development by the Center for Interdisciplinary Brain Sciences Research. The goal of this project is provide a framework application for neuroimaging which facilitates the interchange of software tools developed by researchers. BrainImageJava can: * Delineate ROIs in slices along X, Y, or Z axes, with 3D feedback in the other axes. * Create and display triangular mesh surfaces from MRI volumes. * Draw Surfaces-of-Interest (SOIs) in 3D, and edit them in a planar display. * Set Talairach grid on a volume, export an AC/PC stack, and measure the values within each grid unit. This 3D image processing and analysis program for the Apple Macintosh PowerPC is based on the public domain application, NIH Image. It includes interactive procedures for 3D MRI quantification including semi-automated procedures for removing non-brain tissues from images, fuzzy segmentation of tissue compartments, global or local parcellation (based on the Talairach atlas), region-growing, etc. The last version of the software included multiplatform capability, volume visualization and advanced image analysis tools.

Proper citation: BrainImage Software (RRID:SCR_006139) 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

http://sourceforge.net/projects/polgui/

An interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms), # polgui_ver1_r14 : works with 1 receiver (stylus pen) # polgui_ver2_r14 : works with 2 receivers (including the pen) # polgui_ver3_r14 : works with 3 receivers(including the pen) # polgui_ver4_r14 : works with 4 receivers (including the pen) # polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers (WARNING: Ver 5 might be buggy; not fully tested) Requirements: MATLAB R14 (Linux/Windows)

Proper citation: POLGUI - Matlab Polhemus Interface (RRID:SCR_006752) Copy   

•   Source: SciCrunch Registry

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

Software package that provides a simple and flexible way to generate Circos 2D track plot images for genomic data visualization. The types of plots include: heatmap, histogram, lines, scatterplot, tiles and plot items for further decorations include connector, link (lines and ribbons), and text (gene) label. All functions require only R graphics package that comes with R base installation.

Proper citation: RCircos (RRID:SCR_003310) Copy   

•   Source: SciCrunch Registry

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

An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.

Proper citation: ggbio (RRID:SCR_003313) Copy   

•   Source: SciCrunch Registry

http://primerseq.sourceforge.net/

Software that designs RT-PCR primers that evaluate alternative splicing events by incorporating RNA-Seq data. It is particularly advantageous for designing a large number of primers for validating alternative splicing events found in RNA-Seq data. It incorporates RNA-Seq data in the design process to weight exons by their read counts. Essentially, the RNA-Seq data allows primers to be placed using actually expressed transcripts. This could be for a particular cell line or experimental condition, rather than using annotations that incorporate transcripts that are not expressed for the data. Alternatively, you can design primers that are always on constitutive exons. PrimerSeq does not limit the use of gene annotations and can be used for a wide array of species.

Proper citation: PrimerSeq (RRID:SCR_003295) Copy   

•   Source: SciCrunch Registry