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http://ascb.org/

The American Society for Cell Biology (ASCB) was founded in 1960 to bring the varied facets of cell biology together. The Society''s purpose is to promote and develop the field of cell biology. Its objectives are achieved through the scholarly dissemination of research at its Annual Meeting and Summer Meetings and in its publications. The ASCB strives to ensure the future of basic scientific research by providing training and development opportunities for students and young investigators, and also by keeping Congress and the American public informed about the importance of biological research. Since its founding, the ASCB has grown to approximately 10,000 members in the United States and more than 65 countries around the world. About 25% of ASCB members are international. Current members come from universities, colleges, professional schools, government, industry, and public and private research institutions. Membership in the ASCB is open to all research scientists, students, educators (high school, undergraduate, and graduate level), and technicians who have education or research experience in cell biology or an allied field.

Proper citation: American Society for Cell Biology (RRID:SCR_010600) Copy   

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http://www.mazesuite.com/

A complete set of tools that enables researchers to perform spatial and navigational behavior experiments within interactive, easy to create, and extendable (e.g., multiple rooms) 3D virtual environments. MazeSuite can be used to design/edit adapted 3D environments where subjects? behavioral performance can be tracked. Maze Suite consists of three main applications; an editing program to create and alter maps (MazeMaker), a visualization/rendering module (MazeWalker), and finally an analysis/mapping tool (MazeAnalyzer). Additionally, MazeSuite has the capabilities of sending signal pulses to physiological recording devices using standard computer ports. MazeSuite, with all 3 applications, is a unique and complete toolset for researchers who want to easily and rapidly deploy interactive 3D environments. Requirements Maze Suite is designed for Windows 7, Windows Vista and Windows XP. 3D rendering quality depends on available graphics card hardware; OpenGL 2.1 or above compliant is recommended. For Windows XP systems, .NET Framework Version 2.0 or above is required and can be downloaded from Microsoft's website.

Proper citation: MazeSuite (RRID:SCR_009606) Copy   

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http://ric.uthscsa.edu/mango/

A viewer for medical research images that provides analysis tools and a user interface to navigate image volumes. There are three versions of Mango, each geared for a different platform: * Mango ? Desktop ? Mac OS X, Windows, and Linux * webMango ? Browser ? Safari, Firefox, Chrome, and Internet Explorer * iMango ? Mobile ? Apple iPad Key Features: * Built-in support for DICOM, NIFTI, Analyze, and NEMA-DES formats * Customizable: Create plugins, custom filters, color tables, file formats, and atlases * ROI Editing: Threshold and component-based tools for painting and tracing ROIs * Surface Rendering: Interactive surface models supporting cut planes and overlays * Image Registration: Semi-automatic image coregistration and manual transform editing * Image Stacking: Threshold and transparency-based image overlay stacking * Analysis: Histogram, cross-section, time-series analysis, image and ROI statistics * Processing: Kernel and rank filtering, arithmetic/logic image and ROI calculators

Proper citation: Mango (RRID:SCR_009603) Copy   

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http://visual.cs.utsa.edu/eegvis

A MATLAB toolbox for exploration of multi-channel EEG and other large array-based data sets using multi-scale drill-down techniques. The toolbox can be used directly in MATLAB at any stage in a user's processing pipeline, as a plug in for EEGLAB, or as a standalone precompiled application without MATLAB running. EEGVIS and its supporting packages are freely available under the GNU general public license. The toolbox also supplies a number of extensible base classes for users who wish to develop their own visualizations.

Proper citation: EEGVIS (RRID:SCR_009569) Copy   

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http://www.biodatomics.com/

An open source commercial platform for genomic analysis. Included is a home brewed workflow engine and code provenance tracking, no data provenance tracking. Multiple tools like HMMR and Blast are included in the platform with an architecture that allows others to be plugged in and the code to be modified. Data storage is handled by hadoop clusters.

Proper citation: Biodatomics (RRID:SCR_010464) Copy   

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http://pathema.jcvi.org/Pathema/index.html

Pathema is one of the eight Bioinformatics Resource Centers designed to serve as a core resource for the bio-defense and infectious disease research community. Pathema strives to support basic research and accelerate scientific progress for understanding, detecting, diagnosing and treating an established set of six target NIAID Category A-C pathogens: Category A priority pathogens; Bacillus anthracis and Clostridium botulinum, and Category B priority pathogens; Burkholderia mallei, Burkholderia pseudomallei, Clostridium perfringens and Entamoeba histolytica. Each target pathogen is represented in one of four distinct clade-specific Pathema web resources and underlying databases developed to target the specific data and analysis needs of each scientific community. All publicly available complete genome projects of phylogenetically related organisms are also represented, providing a comprehensive collection of organisms for comparative analyses. Pathema facilitates the scientific exploration of genomic and related data through its integration with web-based analysis tools, customized to obtain, display, and compute results relevant to ongoing pathogen research. Pathema serves the bio-defense and infectious disease research community by disseminating data resulting from pathogen genome sequencing projects and providing access to the results of inter-genomic comparisons for these organisms. The Pathema BRC contract ends in December 2009. At that time JCVI will cease maintenance of the Pathema web resource and data. The PATRIC team, located at the Virginia Bioinformatics Institute, created and maintains a consolidated BRC for all of the NIAID category A-C priority pathogenic bacteria. The EuPathDB team at the University of Pennsylvania will support all eukaryotic pathogens. Pathema transferred all data and software to PATRIC and EuPathDB for incorporation into their new Web-based bioinformatics resource.

Proper citation: Pathema (RRID:SCR_010585) Copy   

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http://code.google.com/p/psom/

A lightweight software library to manage complex multi-stage data processing. A pipeline is a collection of jobs, i.e. Matlab or Octave codes with a well identified set of options that are using files for inputs and outputs. To use PSOM, the only requirement is to generate a description of a pipeline in the form of a simple Matlab / Octave structure. PSOM then automatically offers the following services: * Run jobs in parallel using multiple CPUs or within a distributed computing environment. * Generate log files and keep track of the pipeline execution. These logs are detailed enough to fully reproduce the analysis. * Handle job failures : successful completion of jobs is checked and failed jobs can be restarted. * Handle updates of the pipeline : change options or add jobs and let PSOM figure out what to reprocess !

Proper citation: Pipeline System for Octave and Matlab (RRID:SCR_009637) Copy   

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

This package contains a software implementation for joint label fusion and corrective learning, which were applied in MICCAI 2012 Grand Challenge on Multi-Atlas Labeling and finished in the first place. Joint label fusion is for combining candidate segmentations produced by registering and warping multiple atlases for a target image. Corrective learning can be applied to further reduce systematic errors produced by joint label fusion. In general, corrective learning can be applied to correct systematic errors produced by other segmentation methods as well.

Proper citation: PICSL Multi-Atlas Segmentation Tool (RRID:SCR_009633) Copy   

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http://bisp.kaist.ac.kr/NIRS-SPM

A SPM and MATLAB-based software package for statistical analysis of near-infrared spectroscopy (NIRS) signals. Based on the general linear model (GLM), and Sun's tube formula / Lipschitz-Killing curvature (LKC) based expected Euler characteristics, NIRS-SPM not only provides activation maps of oxy-, deoxy-, and total-hemoglobin, but also allows for super-resolution activation localization. Additional features, including a wavelet-minimum description length detrending algorithm and cerebral metabolic rate of oxygen (CMRO2) estimation without hypercapnia, were implemented in the NIRS-SPM software package., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NIRS-SPM (RRID:SCR_009630) Copy   

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http://www.cbs.mpg.de/institute/software/lipsia/

Software tool for processing functional magnetic resonance imaging (fMRI) data.Software system for evaluation of functional magnetic resonance images of human brain.

Proper citation: Lipsia (RRID:SCR_009595) Copy   

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http://biomodels.net/miriam/

MIRIAM is an effort to standardise the Minimal Information Required In the Annotation of Models, so that different groups can collaborate on annotating and curating computational models in biology. The goal of the project, initiated by the BioModels.net effort is to produce a set of guidelines suitable for use with any structured format for computational models. MIRIAM is a registered project of the MIBBI (Minimum Information for Biological and Biomedical Investigations). If you are looking for the online resources providing support to MIRIAM Standard, please go to: MIRIAM Resources.

Proper citation: MIRIAM: Minimal Information Required In the Annotation of Models (RRID:SCR_010547) Copy   

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http://gforge.dcn.ed.ac.uk/gf/project/limo_eeg/

A matlab toolbox (EEGlab compatible) allowing the processing of MEEG data using single trials and hierarchical linear models. Almost all statistical designs can be analyzed with the tool. Across subject analyses are performed using bootstrap offering robust inferences.

Proper citation: LIMO EEG (RRID:SCR_009592) Copy   

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http://itools.loni.usc.edu/

An infrastructure for managing of diverse computational biology resources - data, software tools and web-services. The iTools design, implementation and meta-data content reflect the broad NCBC needs and expertise (www.NCBCs.org).

Proper citation: iTools (RRID:SCR_009626) Copy   

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

This module reduces Rician noise on nhdr/nrrd DWIs. Filters image in mean squared error sense using Rician noise model. All estimations are performed as sample estimates in a "shaped neighborhood" defined by the weights extracted from structural similarity of voxels following same idea as in Non-Local Means filter.

Proper citation: Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI (RRID:SCR_009502) Copy   

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http://www.nmr.mgh.harvard.edu/~jbm/jip/

Software toolkit for analysis of rodent and non-human primate fMRI data. The toolkit consists of binary executables, highly portable open-source c code, and image resources that enable 1) Automated registration based upon mutual information (affine, non-linear warps), with flexible control and visualization of each step; 2) visualization of 4-dimensional data using either mosaic or tri-planar display of the z/slice dimension, and integration of a general linear model for graphical display of time series analysis; 3) A simple and flexible 1st-order GLM for fMRI time series analysis, a 1st-order GLM analysis for PET data within the SRTM framework, plus a 2nd-order GLM analysis following the Worsley 2002 scheme, and 4) MRI templates to place your rodent and non-human primate data into standardized spaces.

Proper citation: JIP Analysis Toolkit (RRID:SCR_009588) Copy   

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http://www.sph.umich.edu/csg/abecasis/MACH/download/

QTL analysis based on imputed dosages/posterior_probabilities.

Proper citation: MACH (RRID:SCR_009621) Copy   

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http://www.hammersuite.com/

The tool is a GUI for a complete processing pipeline of brain MR images. It provides functions on skull-stripping, cerebellum removal, tissue segmentation, and HAMMER registration.

Proper citation: HAMMER Suite (RRID:SCR_009583) Copy   

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http://www.blueprintnhpatlas.org/

Atlas of gene expression in the developing rhesus macaque brain. This atlas is a free online resource with a unique set of data and tools aimed to create a developmental neuroanatomical framework for exploring the cellular and molecular architecture of the developing postnatal primate brain with direct relevance for human brain development. The atlas includes: * Microarray ** Microdissection: Fine structure transcriptional profiling across postnatal development for fine nuclear subdivisions of the prefrontal cortex, primary visual cortex, hippocampus, amygdala and ventral striatum ** Macrodissection: Gross structure transcriptional profiling across postnatal development for the same structures * ISH: ** Cellular resolution in situ hybridization image data of five major brain regions during postnatal developmental periods for genes clinically important for a variety of human neurodevelopmental disorders, including prefrontal cortex, primary visual cortex, hippocampus, amygdala and ventral striatum. ** Serial analysis of selected genes across the entire adult brain, focusing on cellular marker genes, genes with cortical area specificity and gene families important to neural function. * ISH Anatomic Search: Detailed gene expression search on the ISH data based on expert annotation * Reference Data: Developmental stage-specific reference series, consisting of magnetic resonance imaging (MRI) and Nissl histology to provide a neuroanatomical context for the gene expression data. These data and tools are designed to provide a valuable public resource for researchers and educators to explore neurodevelopment in non-human primates, and a key evolutionary link between other Web-based gene expression atlases for adult and developing mouse and human brain.

Proper citation: NIH Blueprint NHP Atlas (RRID:SCR_010559) Copy   

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http://econnectome.umn.edu/

An open-source MATLAB software package for imaging brain functional connectivity from electrophysiological signals. It provides interactive graphical interfaces for EEG/ECoG/MEG preprocessing, source estimation, connectivity analysis and visualization. Connectivity from EEG/ECoG/MEG can be mapped over sensor and source domains. This package is designed for use by researchers in neuroscience, psychology, cognitive science, clinical neurophysiology, neurology and other disciplines. The graphical interface-based platform requires little programming knowledge or experience with MATLAB. eConnectome is developed by the Biomedical Functional Imaging and Neuroengineering Laboratory at the University of Minnesota, directed by Dr. Bin He. The visualization module is jointly developed with Drs. Fabio Babiloni and Laura Astolfi at the University of Rome La Sapienza.

Proper citation: eConnectome (RRID:SCR_009618) Copy   

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http://www.imagilys.com/brainmagix-spm-viewer/

A free, professional viewer for SPM fMRI results. SPM (Statistical Parametric Mapping, UCL, London) is a powerful fMRI analysis software but its visualization capabilities are sometimes a limitation for the researchers. That's why Imagilys has decided to offer the neuroimaging community a free version of its commercial "BrainMagix" neuroimaging software, called "BrainMagix SPM viewer". BrainMagix SPM Viewer's Features - Professional viewer for your SPM-based fMRI activations - JAVA-programmed, cross-platform (Windows, MAC, Linux), without Matlab license, making it possible to share your results with colleagues who do not have SPM installed - Reads SPM.mat files and NIfTI images in an user-friendly way - Overlay the blobs with an atlas or any anatomical image - On the fly adjustment of threshold and cluster size - Localize your activations in an atlas - BOLD signal curves in ROIs (future feature) - Export your results as PNG images

Proper citation: BrainMagix SPM Viewer (RRID:SCR_009537) Copy   

•   Source: SciCrunch Registry