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http://meme-suite.org/

Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use.

Proper citation: MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) Copy   

•   Source: SciCrunch Registry

http://www.nesys.uio.no/Micro3D/

The Micro3D 2004 is a software for 3-D reconstruction, visualization, and analysis of neuronal populations and brain regions. Micro3D generates geometric models from line and point coded data sets, representing labeled objects such as cell bodies or axonal plexuses, and boundaries of brain regions in serial sections. Data are typically imported from image-combining computerized microscopy systems, such as Neurolucida (MicroBrightField, Colchester, VT). The models may be rotated and zoomed in real-time. Surfaces are re-synthesized on the basis of stacks of contour lines. Clipping is used for defining section-independent subdivisions of the model. Flattening of sheets of points in curved layers (e.g., neurons in a cortical lamina) facilitates inspection of complicated distribution patterns. Micro3D computes color-coded density maps, and allows production of mpeg videos. Micro3D 2004 runs on LINUX PCs equipped with Open Inventor. It performs operations similar to the Silicon Graphics based version that has been used in more than 25 investigations and in various species, ranging from insects to monkeys, at the LM- and EM-level. Sponsors:Micro 3D was developed with support from The Research Council of Norway and The Oslo Research Park / FORNY.

Proper citation: Neural Systems and Graphics Computing Laboratory: Micro3D Software (RRID:SCR_001811) Copy   

•   Source: SciCrunch Registry

http://www.mevislab.de/index.php?id=6

Modular framework for the development of image processing algorithms and visualization and interaction methods, with a special focus on medical imaging. It includes advanced medical imaging modules for segmentation, registration, volumetry, and quantitative morphological and functional analysis. The platform allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments. In MeVisLab, individual image processing, visualization and interaction modules can be combined to complex image processing networks using a graphical programming approach. The algorithms can easily be integrated using a modular, platform-independent C++ class library. An abstract, hierarchical definition language allows the design of efficient graphical user interfaces, hiding the complexity of the underlying module network to the end user. JavaScript components can be added to implement dynamic functionality on both the network and the user interface level. MeVisLab is based on the Qt application framework, the OpenInventor 3D visualization toolkit and OpenGL. Several clinical prototypes have been realized on the basis of MeVisLab, including software assistants for neuro-imaging, dynamic image analysis, surgery planning, and vessel analysis. Feature Overview: :- Basic image processing algorithms and advanced medical imaging modules :- Full featured, flexible 2D/3D visualization and interaction tools :- High performance for large datasets :- Modular, expandable C++ image processing library :- Graphical programming of complex, hierarchical module networks :- Object-oriented GUI definition and scripting :- Full scripting functionality using Python and JavaScript :- DICOM support and PACS integration :- Intuitive user interface :- Integrated movie and screenshot generation for demonstration purposes :- Generic integration of the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) :- Cross-platform support for Windows, Linux, and MacOS X :- Available for 64-bit operating systems

Proper citation: Medical Image Processing and Visualization (RRID:SCR_002055) Copy   

•   Source: SciCrunch Registry

http://microarrays.curie.fr/publications/U900-RPPA_PLT/Normacurve/

Analysis methodology that allows simultaneous quantification and normalization of reverse phase protein array (RPPA) data.

Proper citation: NormaCurve (RRID:SCR_001995) Copy   

•   Source: SciCrunch Registry

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

Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more.

Proper citation: VoxBo (RRID:SCR_002166) Copy   

•   Source: SciCrunch Registry

http://jcb-dataviewer.rupress.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A web-based, multi-dimensional image data-viewing application for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the scores from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard. Image data are archived by the Journal and may be freely accessed by readers using the JCB DataViewer. Download of author-provided image data and associated metadata in OME-TIFF format is also possible with author permission, allowing for independent analysis of image data irrespective of acquisition or viewing software. Although the JCB DataViewer is designed to host and facilitate sharing and analysis of original microscopy image data, authors may also upload other types of original image data as supplements to their manuscripts, including histology and electron micrographs and digital scans of gels or blots.

Proper citation: JCB DataViewer (RRID:SCR_002633) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bio-rainbow/

Software developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq.

Proper citation: Rainbow (RRID:SCR_002724) Copy   

•   Source: SciCrunch Registry

http://animaltracker.elte.hu/

A universal tracking application specifically designed to support animal behavioral analysis. AnimalTracker consists of three main modules which can be used independently: Tracker is responsible for image processing and providing the coordinates of the identified object; Zone Designer provides tools to create custom-made investigation areas in order to design a maze-setup; and Tracking Analyzer module serves to define and obtain the parameters needed for the evaluation.

Proper citation: AnimalTracker (RRID:SCR_014397) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://www.olympus-lifescience.com/en/software/cellsens/

Software suite for image acquisition and analysis. The software can be paired with high-quality cameras to maximize output quality and export it for sharing and research applications.

Proper citation: Olympus cellSens Software (RRID:SCR_014551) Copy   

•   Source: SciCrunch Registry

http://www.ccdc.cam.ac.uk/free_services/relibase_free

Web-based system for searching and analysing protein-ligand structures in the Protein Data Bank (PDB). The database provides an easily accessible web-browser interface and clear 3D structure visualisation that allows for 3D protein-ligand interaction searches, automatic superimposition and detailed analysis of related binding sites to identify protein flexibility, ligand overlap, and conserved water positions.

Proper citation: Relibase (RRID:SCR_014888) Copy   

•   Source: SciCrunch Registry

http://www2.chemie.uni-erlangen.de/software/cactvs/

Computational chemistry related-software used for the computation management, analysis and visualisation of chemical information of any defined type. This software uses a worldwide network of databases with property descriptions, computational modules, data analysis tools, visualization servers, data type handlers and I/O modules to increase the software�s capacity extensibility.

Proper citation: CACTVS System (RRID:SCR_014919) Copy   

•   Source: SciCrunch Registry

http://www.analog-electronics.eu/slicap/slicap.html

A software toolbox containing a symbolic linear circuit analysis program. It is a MATLAB application that helps set up and solve design equations of electronic circuits.

Proper citation: SLiCAP (RRID:SCR_014742) Copy   

•   Source: SciCrunch Registry

http://shiny.chemgrid.org/boxplotr/

Web tool written in R for generation of box plots with R packages shiny, beanplot4, vioplot, beeswarm and RColorBrewer, and hosted on shiny server to allow for interactive data analysis. Data are held temporarily and discarded as soon as session terminates.Represents both summary statistics and distribution of primary data. Enables visualization of minimum, lower quartile, median, upper quartile and maximum of any data set.Data matrix can be uploaded as file or pasted into application. May be downloaded to run locally or as virtual machine for VMware and VirtualBox.

Proper citation: BoxPlotR (RRID:SCR_015629) Copy   

•   Source: SciCrunch Registry

http://niag.ir/

Project to house templates used to build other projects. It is also known as the NeuroImaging and Analysis Group, which employs various physiological, functional and structural neuroimaging methodologies in both research and clinical domains.

Proper citation: Template Project (RRID:SCR_015516) Copy   

•   Source: SciCrunch Registry

https://github.com/EvolBioInf/andi

Software tool for rapidly computing and estimating evolutionary distance between closely related genomes. Because andi does not compute full alignments it scales even up to thousands of bacterial genomes.

Proper citation: andi (RRID:SCR_015971) Copy   

•   Source: SciCrunch Registry

http://microbetracker.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone. Software for bacterial microscopy image analysis. It is designed to detect and outline bacterial cells in microscopy images and to analyze fluorescence signal inside them.

Proper citation: MicrobeTracker (RRID:SCR_015939) Copy   

•   Source: SciCrunch Registry

https://github.com/harry-thorpe/piggy

Pipeline for analyzing intergenic regions in bacteria. It is designed to be used in conjunction with Roary (https://github.com/sanger-pathogens/Roary).

Proper citation: Piggy (RRID:SCR_015941) Copy   

•   Source: SciCrunch Registry

http://molevol.cmima.csic.es/castresana/Gblocks_server.html

Software that eliminates poorly aligned positions and divergent regions of a DNA or protein alignment so that it becomes more suitable for phylogenetic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Gblocks (RRID:SCR_015945) Copy   

•   Source: SciCrunch Registry

http://www.fsm.ethz.ch/publications-list/software.html

Software for tracking and analysis based on algorithms describing structural and topological features of fiber-like objects. The program operates on images from any microscopic source (atomic force or transmission electron microscopy, optical, fluorescence, confocal, etc.), acquiring the spatial coordinates of objects.

Proper citation: FiberApp (RRID:SCR_015826) Copy   

•   Source: SciCrunch Registry

https://genome.tugraz.at/genesisclient/genesisclient_description.shtml

Software for cluster analysis of microarray data. Genesis is a platform independent Java package of tools to simultaneously visualize and analyze a whole set of gene expression experiments.

Proper citation: Genesis (RRID:SCR_015775) Copy   

•   Source: SciCrunch Registry