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

Software R package as collection of plotting and table output functions for data visualization. Results of various statistical analyses that are commonly used in social sciences can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, generalized linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models including interaction terms. This package supports labelled data.

Proper citation: sjplot (RRID:SCR_024307) Copy   

•   Source: SciCrunch Registry

http://www.bumc.bu.edu/cardiovascularproteomics/cpctools/strap/

Software program that automatically annotates a protein list with information that helps in the meaningful interpretation of data from mass spectrometry and other techniques. It takes protein lists as input, in the form of plain text files, protXML files (usually from the TPP), or Dat files from MASCOT search results. From this, it generates protein annotation tables, and a variety of GO charts to aid individual and differential analysis of proteomics data. It downloads information from mainly the Uniprot and EBI QuickGO databases. STRAP requires Windows XP or higher with at least version 3.5 of the Microsoft .NET Framework installed. Platform: Windows compatible

Proper citation: STRAP (RRID:SCR_005675) Copy   

•   Source: SciCrunch Registry

http://sccn.ucsd.edu/fmrlab/index.html

A Matlab toolbox for fMRI data analysis using Independent Component Analysis (ICA). It provides an integrated environment to manage, process and analyze fMRI data in a single framework so that users can complete the analysis without switching between software. In addition, it provides an interactive Matlab graphic user interface (GUI). All the necessary processes to apply ICA to fMRI data and review its results can be run from the graphic interface. The FMRLAB processing flow is straightforward. Custom analyses can be performed with Matlab scripts using the FMRLAB functions and data structure. Since fMRI data analysis is a complex enterprise, including digital image processing, statistical analysis and data visualization, an integrated framework combining processing elements is desired eagerly by users in the neuroimaging community. Recently, large number of software tools for data analysis and visualization have been developed for this purpose. However, most of these tools use model-based statistical methods which assume that the users know the hemodynamic response (HR) for their paradigm in advance and can specify a reasonable HR model. Often, however, accurate or reasonable response HR models are unavailable. An alternative data-driven method, infomax ICA (McKeown et al., 1998), does not require that an a priori HR model, instead deriving HRs of spatially independent components of the entire data set from the higher-order statistics of the data themselves. FMRLAB is a toolbox running under Matlab containing necessary components for data-driven fMRI data analysis using the highly reliable infomax ICA algorithm (Bell & Sejnowski, 1995), normalized (Amari, 1999), extended (Lee, Girolami and Sejnowski, 1999) and automated by Makeig et al. FMRLAB has been developed under Matlab 6.1 running on Red Hat Linux. FMRLAB Features * Graphic user interface * Flexible data importing * Interactive data plotting * Computationally efficient * Defined FMRI data structure * Independent component browser * Smooth, transparent component exporting and spatial normalization process * Interface with other software for further analysis or visualization. * SPM-style component plots (MIP, 2-D slice overlay and 3-D)

Proper citation: FMRLAB (RRID:SCR_005164) Copy   

•   Source: SciCrunch Registry

http://www.phyloviz.net/

Platform independent JAVA software for analysis of sequence based typing methods that generate allelic profiles and their associated epidemiological data.Phylogenetic inference and data visualization for sequence based typing methods.

Proper citation: PHYLOViZ (RRID:SCR_024162) Copy   

•   Source: SciCrunch Registry

http://divvy.ucsd.edu/

Software application for performing unsupervised machine learning and visualization with a focus on the clustering (separating data into groups) and dimensionality reduction (finding low dimensional structure in high dimensional data) subfields of machine learning. For visualization we provide support for both the whole dataset (e.g. a scatter plot) and points (e.g. transforming a particular point into an image). * Endlessly extensible. Every clusterer, reducer, point visualizer and dataset visualizer in Divvy is a plugin. We''ve provided a few big ones (K-means, PCA, scatter plot, &c.) and we''re hoping the community will use our plugin protocol to build many more. Each plugin defines its own UI, so your algorithm can look and behave the way that you want it to without top-down constraints. * Have lots of cores? Divvy is both task and data parallel. No longer will you be waiting for one algorithm to complete before you start another. Start as many as you want and keep using the UI. Only started one? With data parallelism we''ll still push your new MacBook Pro to 800% CPU utilization. * Part of your workflow: Export your clusterings and reductions to .csv and your visualizations to .png. Use your Matlab or R data with our Matlab/R to Divvy export tools available at http://github.com/jmlewis/divvy.

Proper citation: Divvy (RRID:SCR_006336) Copy   

•   Source: SciCrunch Registry

http://www.genomecompiler.com

A software platform which enables users to conduct genetic engineering with genomic manipulation tools (provided in the platform). Genome Compiler includes multiple DNA synthesis providers, lab facility services, and advanced bioinformatics tools and genetic repositories. Data can be imported from VectorNTI, SnapGene, ApE, Clone Manager, and others. The Gibson Assembly and Restriction Ligation methods are supported by Genome Compiler.

Proper citation: GenomeCompiler (RRID:SCR_013988) Copy   

•   Source: SciCrunch Registry

http://www.tableau.com/products/desktop

A software application which utilizes drag-and-drop to create data visualizations of various formats. Users can collaborate on and discuss data and graphs that can be created from spreadsheets, databases, and big data sources. Three versions of Tableau Desktop are available: Tableau Server, Tableau Online, and Tableau Reader.

Proper citation: Tableau Desktop (RRID:SCR_013994) Copy   

•   Source: SciCrunch Registry

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

A toolbox developed for multi-channel time-frequency analysis of event related activity of EEG and MEG data. It provides tools for data analysis and visualization of the most commonly used measures of time-frequency transformed event related data as well as data decomposition through non-negative matrix and multi-way (tensor) factorization. The decompositions provided can accommodate additional dimensions like subjects, conditions or repeats and as such they are perfected for group analysis. The toolbox enables tracking of phase locked activity from one channel-time-frequency instance to another as well as tools for artifact rejection in the time-frequency domain.

Proper citation: ERPwavelab (RRID:SCR_014106) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/py3dn/

A set of software tools used for morphometric analysis and visualization of the 3D structure of neurons. Py3DN works exclusively with data collected with the commercial system Neurolucida.

Proper citation: Py3DN (RRID:SCR_014511) Copy   

•   Source: SciCrunch Registry

http://scidavis.sourceforge.net/

Interactive application for data analysis and visualization in the form of plots. Its main feature is its usability and its simple graphical user interface. SciDAVis runs on GNU/Linux, Windows and MacOS X.

Proper citation: SciDAVis (RRID:SCR_014643) Copy   

•   Source: SciCrunch Registry

http://dgrapov.github.io/MetaMapR/

An open-source software program for integrating enzymatic transformations with metabolite structural similarity, mass spectral similarity and empirical associations to generate connected metabolic networks and display results using data visualization techniques.

Proper citation: MetaMapR (RRID:SCR_014685) Copy   

•   Source: SciCrunch Registry

https://github.com/galaxyproteomics/mvpapplication-git.git

Software tool as plugin to enable viewing of results produced from workflows integrating genomic sequencing data and mass spectrometry proteomics data. Plugin to Galaxy bioinformatics workbench which enables visualization of mass spectrometry-based proteomics data integrated with genomic and/or transcriptomic sequencing data. Useful for verifying quality of results and characterizing novel peptide sequences identified using multi-omic proteogenomic approach.

Proper citation: Multi-omics Visualization Platform (RRID:SCR_018077) Copy   

•   Source: SciCrunch Registry

https://huygens.science.uva.nl/PlotsOfData/

Web app for visualizing data together with their summaries. Visualizes data and statistics to enable comparison of experimental conditions. Written in R and uses packages including shiny, ggplot2, dplyr, tidyr, readr, magrittr, ggbeeswarm, readxl, DT. Github page of PlotsOfData can be used to trace changes between different versions.

Proper citation: PlotsOfData (RRID:SCR_018333) Copy   

•   Source: SciCrunch Registry

http://gnumeric.org/

Software tool as open source spreadsheet program that is part of GNOME Free Software Desktop Project. Can do some statistical analysis such as Student t-tests. Spreadsheet application that replicates basic features of popular commercial programs like Microsoft Excel.

Proper citation: Gnumeric (RRID:SCR_018462) Copy   

•   Source: SciCrunch Registry

http://www.evolvedmicrobe.com/CurveFitter/

Software tool for growth curve fitting and visualization. Program allows to fit growth curve using simple GUI or advanced scripting environment. Used to fit growth curves generated for data collected in microtiter plates or elsewhere.

Proper citation: CurveFitter (RRID:SCR_018461) Copy   

•   Source: SciCrunch Registry

http://tools.thermofisher.com/content/sfs/brochures/geneatlas_system_brochure.pdf

Software to generate differential expression analysis and visualization for easy interpretation. Takes normalized and summarized data from Affymetrix Expression Console software to next level, providing differential expression analysis and visualization for easy interpretation.

Proper citation: Affymetrix Transcriptome Analysis Console Software (RRID:SCR_018718) Copy   

•   Source: SciCrunch Registry

http://peterslab.org/MSTools/

Web based application for visualization and presentation of HXMS data. Comprises tools helping in preparation of H/D experiments as well as tools for turning simple tables with data on H/D exchange into different ways of representation.

Proper citation: MSTools (RRID:SCR_018657) Copy   

•   Source: SciCrunch Registry

https://github.com/LCSB-BioCore/GigaSOM.jl

Software tool for huge scale, high performance flow cytometry data clustering and visualization in Julia. High performance clustering and visualization of huge cytometry datasets.

Proper citation: GigaSOM.jl (RRID:SCR_019020) Copy   

•   Source: SciCrunch Registry