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https://www.reading.ac.uk/bioinf/ModFOLD/

Web server for the global and local quality estimation of 3D protein models

Proper citation: ModFOLD (RRID:SCR_024518) Copy   

•   Source: SciCrunch Registry

http://www.bic.mni.mcgill.ca/software/minc/

A medical imaging data format and an associated set of tools and libraries including a 3 level API for medical image analysis with a particular focus on the needs of research. There are also a number of tools including Registration and Non-Uniformity correction.

Proper citation: MINC (RRID:SCR_002391) Copy   

•   Source: SciCrunch Registry

http://metscape.ncibi.org

A software program that allows users to visualize and interpret human metabolim and expression profiling data by providing users with a bioinformatics framework. Its features include bulding and analyzing networks of genes and compounds, identifying enriched pathways from expression profiling data, and visualizing changes in metabolite data.

Proper citation: Metscape (RRID:SCR_014687) Copy   

•   Source: SciCrunch Registry

http://www.mathworks.com/products/matlab/

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

Proper citation: MATLAB (RRID:SCR_001622) Copy   

•   Source: SciCrunch Registry

https://imagej.net/

Open source Java based image processing software program designed for scientific multidimensional images. ImageJ has been transformed to ImageJ2 application to improve data engine to be sufficient to analyze modern datasets.

Proper citation: ImageJ (RRID:SCR_003070) Copy   

•   Source: SciCrunch Registry

http://penglab.janelia.org/proj/v3d/V3D/About_V3D.html

V3D is a handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. It also provides many unique functions, is Open Source, supports a very simple and powerful plugin interface and thus can be extended & enhanced easily. V3D-Neuron is a powerful 3D neuron reconstruction, visualization, and editing software built on top of V3D. Both V3D and V3D-Neuron have recently been published in Nature Biotechnology (April, 2010), and Highlighted in Nature Methods (May, 2010), and Science News (April, 2010), etc. V3D is a cross-platform (Mac, Linux, and Windows) tool for visualizing large-scale (gigabytes, and 64-bit data) 3D 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. This makes V3D suitable for various bioimage informatics applications, and a nice platform to develop new 3D image analysis algorithms for high-throughput processing. In short, V3D streamlines the workflow of visualization-assisted analysis. In the latest V3D development, it can render 5D (spatial-temporal) data directly in 3D volume-rendering mode; it supports convenient and interactive local and global 3D views at different scales. It even has a Matlab file IO toolbox. A user can now write his/her own plugins to take advantage of the V3D platform very easily.

Proper citation: V3D (RRID:SCR_008646) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/sss/fasta/

Software package for DNA and protein sequence alignment to find regions of local or global similarity between Protein or DNA sequences, either by searching Protein or DNA databases, or by identifying local duplications within a sequence.

Proper citation: FASTA (RRID:SCR_011819) Copy   

•   Source: SciCrunch Registry

https://www.statmodel.com

Statistical modeling program that provides a wide choice of models, estimators, and algorithms in a program that has graphical displays of data and analysis results. Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program. The Mplus modeling framework draws on the unifying theme of latent variables. The generality of the Mplus modeling framework comes from the unique use of both continuous and categorical latent variables. Continuous latent variables are used to represent factors corresponding to unobserved constructs, random effects corresponding to individual differences in development, random effects corresponding to variation in coefficients across groups in hierarchical data, frailties corresponding to unobserved heterogeneity in survival time, liabilities corresponding to genetic susceptibility to disease, and latent response variable values corresponding to missing data. Categorical latent variables are used to represent latent classes corresponding to homogeneous groups of individuals, latent trajectory classes corresponding to types of development in unobserved populations, mixture components corresponding to finite mixtures of unobserved populations, and latent response variable categories corresponding to missing data.

Proper citation: MPlus (RRID:SCR_015578) Copy   

•   Source: SciCrunch Registry

https://www.metaboanalyst.ca/

Web server for statistical, functional and integrative analysis of metabolomics data. Web based tool suite used for metabolomic data processing, normalization, multivariate statistical analysis, and data annotation, biomarker discovery and classification.

Proper citation: MetaboAnalyst (RRID:SCR_015539) Copy   

•   Source: SciCrunch Registry

http://apps.cytoscape.org/apps/mcode

Software that clusters a given network based on topology to find densely connected regions. It can be used to find protein complexes and parts of pathways in protein-protein interaction networks or protein families in protein similarity networks.

Proper citation: MCODE (RRID:SCR_015828) Copy   

•   Source: SciCrunch Registry

https://www.github.com/arq5x/poretools

Software toolkit for analyzing nanopore sequence data.

Proper citation: Poretools (RRID:SCR_015879) Copy   

•   Source: SciCrunch Registry

http://autodock.scripps.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software for automated docking analysis to precalculate the set of grids describing the target protein. It is a part of automated molecular modeling simulation software AutoDock.

Proper citation: Autogrid (RRID:SCR_015982) Copy   

•   Source: SciCrunch Registry

https://business-lounge.heidelbergengineering.com/de/de/products/heidelberg-eye-explorer/

Platform that centralizes management of ophthalmic images. HEYEX interfaces with electronic medical record systems and third-party devices to allow exchange, storage, and dynamic review of diagnostic images. Heidelberg Engineering imaging products use Heidelberg Eye Explorer software platform and database to store patient information and images.

Proper citation: Heidelberg Eye Explorer (RRID:SCR_022045) Copy   

•   Source: SciCrunch Registry

https://www.cdc.gov/epiinfo/

Software suite of interoperable software tools designed for global community of public health practitioners and researchers. Provides easy data entry form and database construction, customized data entry experience, and data analysis with epidemiologic statistics, maps, and graphs for public health professionals who may lack information technology background.Statistical software for epidemiology developed by Centers for Disease Control and Prevention in Atlanta, Georgia. Available for Microsoft Windows, Android and iOS, along with web and cloud version.

Proper citation: Epi Info (RRID:SCR_021682) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/DESeq2.html

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

Proper citation: DESeq2 (RRID:SCR_015687) Copy   

•   Source: SciCrunch Registry

https://www.rdocumentation.org/packages/pheatmap/versions/0.2/topics/pheatmap

Software tool as a function in R to draw clustered heatmaps for better control over graphical parameters.

Proper citation: pheatmap (RRID:SCR_016418) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/protein-preparation-wizard

Software tool for correcting common structural problems and creating reliable, all atom protein models.

Proper citation: Protein preparation Wizard (RRID:SCR_016749) Copy   

•   Source: SciCrunch Registry

http://www.repeatmasker.org/RepeatModeler/

Sequence analysis software that performs repeat family identification and creates models for sequence data. RepeatModeler utilizes RepeatScout and RECON to identify repeat element boundaries and family relationships., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RepeatModeler (RRID:SCR_015027) Copy   

•   Source: SciCrunch Registry

https://www.openepi.com/Menu/OE_Menu.htm

Web based, open source, operating system independent series of programs designed for use in public health and medicine for training or practice that provide number of epidemiologic and statistical tools for summary data. Developed in JavaScript and HTML, and can be run in modern web browsers. Program can be run from OpenEpi website or downloaded and run without web connection.

Proper citation: OpenEpi (RRID:SCR_021913) Copy   

•   Source: SciCrunch Registry

http://www.vmatch.de/

Software tool for efficiently solving large scale sequence matching tasks.

Proper citation: Vmatch (RRID:SCR_018968) Copy   

•   Source: SciCrunch Registry