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http://sourceforge.net/projects/nailsystemsbiology/

A set of software tools to simplify the range of computational activities involved in regulatory network inference. It is technology-independent and includes an interface layer to allow easy integration of components into other applications. It is implemented in MATLAB and is available for all researchers to use.

Proper citation: NAIL (RRID:SCR_012134) Copy   

•   Source: SciCrunch Registry

http://xmsanalyzer.sourceforge.net

A software package of utilities for data extraction, quality control assessment, detection of overlapping and unique metabolites in multiple datasets, and batch annotation of metabolites. xMSanalyzer comprises of utilities that can be classified into five main modules: 1) merging apLCMS or XCMS sample processing results from multiple sets of parameter settings, 2) evaluation of sample quality, feature consistency, and batch-effect, 3) feature matching, and 4) characterization of m/z using KEGG REST; 5) Batch-effect correction using ComBat.

Proper citation: xMSanalyzer (RRID:SCR_012144) Copy   

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http://www.loni.usc.edu/Software/BrainParser

Software that uses a novel statistical-learning technique to segment brain regions of interest (ROIs) based on a training set of data and generates 3D MRI volumes. The software comes pre-trained on a provided data set but can be retrained to work with your desired regions of interest.

Proper citation: LONI Brain Parser (RRID:SCR_009572) Copy   

•   Source: SciCrunch Registry

http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/DTIProcess

A DTI processing and analysis toolkit developed in UNC and University of Utah. Tools in this toolkit include dtiestim, dtiprocess, dtiaverage, fibertrack, fiberprocess, et al..

Proper citation: DTIProcess ToolKit (RRID:SCR_009561) Copy   

•   Source: SciCrunch Registry

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

While the traditional temporally concatenated Group ICA (TC-GICA) adopting three steps of PCA reduction, it could result in inconsistent and variable components when different subject orders were used, both for the group- and individual-level results. Such instability can further cause instable and thus unreliable statistical results. Subject Order-Independent Group ICA (SOI-GICA) aims to fix this problem by producing stable and reliable GICA results. For details please see the paper Subject Order-Independent Group ICA (SOI-GICA) for Functional MRI Data Analysis (Zhang et al., 2010, NeuroImage)(http://dx.doi.org/10.1016/j.neuroimage.2010.03.039). MICA is the toolbox inplemented SOI-GICA for convenience of usage.

Proper citation: Subject Order-Independent Group ICA (RRID:SCR_009514) Copy   

•   Source: SciCrunch Registry

http://www.sci.utah.edu/cibc/software/map3d.html

A scientific visualization application written to display and edit complex, three-dimensional geometric models and scalar, time-based data associated with those models such as high resolution EEG, MEG, and ECG.

Proper citation: map3d (RRID:SCR_009628) Copy   

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

Segmentation of the brain from three-dimensional MR images is a crucial pre-processing step in morphological and volumetric brain studies. BrainMask implements a fully automatic brain segmentation algorithm that uses advanced thresholding with morphology and 3D edge detection algorithms. BrainMask demonstrates high segmentation accuracy. For a representative 26 datasets, the segmentation error averaged 3.4% ������ 1.3% (Mikheev A et al. J Magn Reson Imag 27(6):1235-41;2008). BrainMask includes NNN - a tool based on the algorithm developed by John Sled for correcting the intensity non-uniformity in MR data (Sled JG et al. IEEE Trans Med Imag 17(1):87-97;1998). BrainMask also includes a versatile DICOM wiewer and allows to selectively load and organize DICOM images into 3D and 4D datasets.

Proper citation: BrainMask Volume Processing Tool (RRID:SCR_009538) Copy   

•   Source: SciCrunch Registry

http://support.brainvoyager.com/available-tools/52-matlab-tools-bvxqtools.html

A Matlab-based toolbox for the reading, writing, and processing of BrainVoyager (QX) files in Matlab. The toolbox is freely available.

Proper citation: BVQXtools (RRID:SCR_009532) Copy   

•   Source: SciCrunch Registry

http://www.connectomeviewer.org/viewer/

A free, open source, cross-platform Python-based software application for visualization and analysis in connectome research. Features of the software include: Connectome File Format including metadata, networks, surfaces, volumes, track files; complex network analysis toolboxes; modular plugin architecture for extensibility; Mayavi2 for 3D Scientific Visualization and Plotting; interactive data manipulation and scripting capabilities; and Neuroimaging and Diffusion in Python libraries.

Proper citation: Connectome Viewer (RRID:SCR_009552) Copy   

•   Source: SciCrunch Registry

http://www3a.biotec.or.th/c-mii/

A software tool for plant miRNA and target identification. C-mii pipelines are based on combined steps and criteria from previous studies and also incorporated with several tools such as standalone BLAST and UNAFold and pre-installed databases including miRBase, UniProt, and Rfam. C-mii provides following distinguished features. First, it comes with graphical user interfaces of well-defined pipelines for both miRNA and target identifications with reliable results. Second, it provides a set of filters allowing users to reduce the number of results corresponding to the recently proposed constraints in plant miRNA and target biogenesis. Third, it extends the standard computational steps of miRNA target identification with miRNA-target folding module and GO annotation. Fourth, it supplies the bird eye views of the identification results with info-graphics and grouping information. Fifth, it provides helper functions for database update and auto-recovery to ease system usage and maintenance. Finally, it supports the multi-project and multi-thread management to improve the computational speed.

Proper citation: C-mii (RRID:SCR_010839) Copy   

•   Source: SciCrunch Registry

http://trackvis.org/

TrackVis is software tool that can visualize and analyze fiber track data from diffusion MR imaging (DTI/DSI/HARDI/Q-Ball) tractography. It does NOT perform actual fiber tracking. Diffusion Toolkit is a set of tools that reconstruct diffusion imaging data and generate fiber track data for TrackVis to visualize. Because these two sets of tools were developed and maintained separately and each has distinguished funtionalities, they decided to distribute them as two separate programs for the ease of maintenance and upgrade. You do need both of them to perform complete diffusion data processing and analysis. Features of TrackVis include: * Cross-platform. Works on Windows, Mac OS X and Linux with native look and feel. * A variety of track filters (track selecting methods) allowing users to explore and locate specific bundles with ease. * Multiple rendering modes with customizable scalar-driven color codes. * Real-time parameter adjustment and 3D render. * Open format of the track data file allowing users to integrate customized scalar data into the track file and visualize and analyze it. Save and restore scenes in XML style scene file. * Statistical scalar analysis of tracks and ROIs. * Synchronized real-time multiple dataset analysis and display allowing time-point and/or subject comparison. Synchronized analysis and display on same dataset can also be performed in real-time remotely over the network. * Upfront in-line parameter adjustment in real-time. No tedious pop-up dialogs. TrackVis works with Track File created by Diffusion Toolkit. Diffusion Toolkit processes raw DICOM, Nifti format and ANALYZE images. TrackVis and Diffusion Toolkit are cross-platform software. They can run on Windows XP, Mac OS X as well as Linux.

Proper citation: TrackVis (RRID:SCR_004817) Copy   

•   Source: SciCrunch Registry

http://www.knossostool.org/

Software tool for the visualization and annotation of 3D image data and was developed for the rapid reconstruction of neural morphology and connectivity. By dynamically loading only data from the surround of the current view point, seamless navigation is not limited to datasets that fit into the available RAM but works with much larger dataset stored in a special format on disk. Currently, KNOSSOS is limited to 8-bit data. In addition to viewing and navigating, KNOSSOS allows efficient manual neurite annotation (''skeletonization''). KNOSSOS is being used mostly for reconstructing cell morphologies from 3D electron microscopic data generated by Serial Block-Face Electron Microscopy (SBEM), with an occasional application to 2-photon and confocal optical microscopy data.

Proper citation: KNOSSOS (RRID:SCR_003582) Copy   

•   Source: SciCrunch Registry

https://github.com/dsturg/Spanki

A set of tools to facilitate analysis of alternative splicing from RNA-SEQ data.

Proper citation: Spanki (RRID:SCR_004469) Copy   

•   Source: SciCrunch Registry

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

R package using a non-parametric method for estimating distributions of phylogenetic trees, with the goal of identifying trees that are significantly different from the rest of the trees in the sample.

Proper citation: Kdetrees (RRID:SCR_004522) Copy   

•   Source: SciCrunch Registry

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

Software for normalization and centralization of array comparative genomic hybridization (aCGH) data with imbalanced aberrations. The algorithm uses an iterative procedure that effectively eliminates the influence of imbalanced copy numbers. This leads to a more reliable assessment of copy number alterations (CNAs).

Proper citation: CGHnormaliter (RRID:SCR_002936) Copy   

•   Source: SciCrunch Registry

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

A Bioconductor package that organizes, annotates, analyses and validates fusions reported by different fusion detection tools. The current implementation can deal with output from bellerophontes, chimeraScan, deFuse, fusionCatcher, FusionFinder, FusionHunter, FusionMap, mapSplice, Rsubread, tophat-fusion, tophat-fusion-post and STAR. The core of Chimera is a fusion data structure that can store fusion events detected with any of the aforementioned tools.

Proper citation: Chimera (RRID:SCR_002959) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/gel2de/

Software application for performing pixel-by-pixel correlation analysis on a set of gel images from two-dimensional gel electrophoresis and a set of clinical parameters for a population. The application is written in C++, and has been tested on Windows, although it in principle should compile cross platform using CMake.

Proper citation: Gel2DE (RRID:SCR_002977) Copy   

•   Source: SciCrunch Registry

http://bmsr.usc.edu/software/eons/

Modeling platform to study the basic interactions between synaptic elements that allows the user to study qualitatively, and also quantitatively the relative contributions of diverse mechanisms underlying synaptic efficacy: the relevance of each and every element that comprises a synapse, the interactions between these components and their subcellular distribution, as well as the influence of synaptic geometry (presynaptic terminal, cleft and postsynaptic density). This platform consists of a graphical interface in which elements that comprise a single glutamatergic synapse (both pre- and post-synaptically), their behavior as well as the underlying synaptic geometry can be modified. For example, EONS offers the ability to study the effect of voltage-gated calcium channels density and distribution, the number and location of receptors and more. EONS is a parametric model of a generic glutamatergic synapse that takes into account pre-synaptic mechanisms, such as calcium buffering and diffusion, neurotransmitter release, diffusion and uptake in the cleft, and postsynaptic elements, such as ionotropic AMPA and NMDA receptors, their distribution and synaptic geometry, as well as metabotropic glutamate receptors. There are no complicated equations to write: all the models are predefined. This version is a great tool for first time users and students interested in learning about synapses, as well as for studying geometry and distribution hypotheses in a 2D rectangular geometry. System Requirements: EONS V1.2 is a Windows program but can be also successfully installed and run on Mac and Linux.

Proper citation: EONS (RRID:SCR_002979) Copy   

•   Source: SciCrunch Registry

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

Software package that provides functions for identification and visualization of potential intramolecular triplex patterns in DNA sequence. The main functionality is to detect the positions of subsequences capable of folding into an intramolecular triplex (H-DNA) in a much larger sequence. The potential H-DNA (triplexes) should be made of as many canonical nucleotide triplets as possible. The package includes visualization showing the exact base-pairing in 1D, 2D or 3D.

Proper citation: Triplex (RRID:SCR_003061) Copy   

•   Source: SciCrunch Registry

http://acgt.cs.tau.ac.il/hyden/

Software program for designing pairs of degenerate primers for a given set of DNA sequences. It works well for large input sets of genomic sequences (e.g., hundreds of sequences of length 1Kbp). It is a batch (i.e., command-line, as opposed to graphical interface) program, available for Windows XP (downloadable version) and Linux (upon request).

Proper citation: HYDEN (RRID:SCR_003126) Copy   

•   Source: SciCrunch Registry