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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Software toolbox to facilitate quick and easy import, visualization and measurement for Event Related Potential (ERP) data. The toolbox can open and visualise ERP averaged data (Neuroscan, ascii formats), 2D/3D electrode coordinates and 3D cerebral tissue tesselations (meshes). All the features can be explored quickly and easily using the example data provided in the toolbox. The GUI interface is simple and intuitive.
Proper citation: Bioelectromagnetism Matlab Toolbox (RRID:SCR_006090) Copy
http://marsbar.sourceforge.net/
A toolbox for SPM which provides routines for region of interest analysis. Features include region of interest definition, combination of regions of interest with simple algebra, extraction of data for regions with and without SPM preprocessing (scaling, filtering), and statistical analyses of ROI data using the SPM statistics machinery.
Proper citation: MarsBaR region of interest toolbox for SPM (RRID:SCR_009605) Copy
Standard specification for the information required to report a genotyping experiment, covering: study and experiment design, subject information, genotyping procedure, and data analysis methods. The goal is to set a reporting standard for adoption by the research community to facilitate consistent data interpretation and independent validation/reproduction, and to serve as guidance for database design for storing genotyping experiment data. MIGen is being developed as a collaborative project involving international domain experts and is a registered project under MIBBI: Minimum Information for Biological and Biomedical Investigations.
Proper citation: MIGen (RRID:SCR_006959) Copy
http://samtools.sourceforge.net/
A generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms.
Proper citation: SAM format (RRID:SCR_012093) Copy
http://hollow.sourceforge.net/
HOLLOW facilitates the production of surface images of proteins. HOLLOW is a portable command-line utility written in Python 2.4-2.7; it does not have any other dependencies (although running under the PyPy JIT interpreter, it runs much faster). The input is a PDB file. The output is a PDB file of dummy water atoms that forms a cast of the voids and channels of a protein. HOLLOW generates a surface from a cast of the protein surface. HOLLOW fills the interior spaces of a protein structure with dummy atoms defined on an overlapping grid. The surface generated by these dummy atoms can be shown to reproduce the surface of the protein at the ideal limit. The use of the surface of the dummy atoms allows us to focus on a specific piece of the interior surface. Simply by deleting dummy atoms, the interior surface can be trimmed to produce a custom portion of the interior space. For advanced coloring of the surface, the B-factor of the dummy atoms can be calculated as the average of the B-factor of the protein atoms surrounding the dummy atoms. This allows various colorings of the surface to be conveyed through the B-factor field of the PDB files. The volume filling representation facilitated by HOLLOW is meant to complement other programs that identify voids, pockets and channels, such as SPHGEN and CASTp, which identify binding sites but cannot produce output that can be rendered in standard molecular graphics software. HOLLOW can be used to help render these binding pockets.
Proper citation: HOLLOW (RRID:SCR_005729) Copy
http://dti-tk.sourceforge.net/pmwiki/pmwiki.php
A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation
Proper citation: Diffusion Tensor Imaging ToolKit (RRID:SCR_001642) Copy
http://sourceforge.net/projects/openadam/
A web-based database management system for the large amount of genotype data generated from the Affymetrix GeneChip Mapping Array and Genome-Wide Human SNP Array platforms.
Proper citation: openADAM (RRID:SCR_002018) Copy
http://www.metabolomics-msi.org
Oversight Committee appointed to monitor, coordinate and review the efforts of working groups (WG) in specialist areas (Biological context metadata WG, Chemical analysis WG, Data processing WG, Ontology WG, Exchange format WG) that will examine standardization and make recommendations.
Proper citation: Metabolomics Standards Initiative (RRID:SCR_003246) Copy
http://sourceforge.net/projects/vtontology/
A controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.
Proper citation: Vertebrate Trait Ontology (RRID:SCR_003214) Copy
http://purl.bioontology.org/ontology/FB-SP
The taxonomy of the family Drosophilidae (largely after Baechli) and of other taxa referred to in FlyBase.
Proper citation: Fly Taxonomy (RRID:SCR_003317) Copy
An ontology for describing software tools, their types, tasks, versions, provenance and data associated (the input and output data types and the uses the software can be put to).
Proper citation: Software Ontology (RRID:SCR_003493) Copy
https://bioportal.bioontology.org/ontologies/NEMO/?p=summary
Ontology that describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive / behavioral) attributes, and data-level attributes (acquisition and analysis parameters). Its aim is to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, experiment paradigms, and modalities (EEG/MEG).
Proper citation: NEMO Ontology (RRID:SCR_003386) Copy
An open-source Java viewer for chemical structures in 3D with features for chemicals, crystals, materials and biomolecules. It is cross-platform, running on Windows, Mac OS X, and Linux/Unix systems and features an applet, application, and systems integration component.
Proper citation: Jmol (RRID:SCR_003796) Copy
http://bionotate.sourceforge.net/
An open source annotation tool for the distributed creation of a large corpus.
Proper citation: Bionotate (RRID:SCR_012098) Copy
http://sourceforge.net/projects/rdpframebot/
A frameshift correction and nearest neighbor classification tool for use with high-throughput amplicon sequencing. It uses a dynamic programming algorithm to align each query DNA sequence against a set of target protein sequences, produces frameshift-corrected protein and DNA sequences and an optimal global or local protein alignment. It also helps filter out non-target reads. The online version of FrameBot is available on http://fungene.cme.msu.edu/FunGenePipeline.
Proper citation: RDP FrameBot (RRID:SCR_013083) Copy
http://libeep.sourceforge.net/
Software library that deals with reading and writing RIFF-format CNT/AVR-files. This file format is also called EEProbe data format, and is used in the software packages EEProbe, ASA, ASA-Lab, Cognitrace, eemagine EEG, Visor, by ANT Neuro B.V., The Netherlands. The file format provides for storage of EEG/ERP/MEG data as 32-bit values, and includes a very efficient compression algorithm. Encoding/decoding from the compressed data is performed automatically through the LIBEEP interface functions.
Proper citation: LIBEEP (RRID:SCR_009591) Copy
https://www.nitrc.org/projects/w2mhs/
An open source MATLAB toolbox designed for detecting and quantifying White Matter Hyperintensities(WMH) in Alzheimer?s and aging related neurological disorders.Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies. WMHs arise as bright regions on T2-weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer?s disease (AD) with regard to its prognosis.
Proper citation: Wisconsin White Matter Hyperintensities Segmentation Toolbox (RRID:SCR_009652) Copy
MOOSE is the Multiscale Object-Oriented Simulation Environment. It is the base and numerical core for large, detailed simulations including Computational Neuroscience and Systems Biology. MOOSE spans the range from single molecules to subcellular networks, from single cells to neuronal networks, and to still larger systems. it is backwards-compatible with GENESIS, and forward compatible with Python and XML-based model definition standards like SBML and MorphML. MOOSE is coordinating with the GENESIS-3 project towards the goals of developing educational resources for modeling. MOOSE is open source software, licensed under the LGPL (Lesser GNU Public License). It has absolutely no warranty. Sponsors: - National Center of Biological Sciences (NCBS) - National Institutes of Health (NIH) Collaboration - EU-India grid - Department of Atomic Energy Science Research Council (DAE/SRC) - Department of Biotechnology (DBT)
Proper citation: Multiscale Object Orientation Simulation Environment (RRID:SCR_008031) Copy
http://mged.sourceforge.net/ontologies/MGEDontology.php
An ontology including concepts, definitions, terms, and resources for a standardized description of a microarray experiment in support of MAGE v.1. The MGED ontology is divided into the MGED Core ontology which is intended to be stable and in synch with MAGE v.1; and the MGED Extended ontology which adds further associations and classes not found in MAGE v.1. These terms will enable structure queries of elements of the experiments. Furthermore, the terms will also enable unambiguous descriptions of how the experiment was performed.
Proper citation: MGED Ontology (RRID:SCR_004484) Copy
http://solexaqa.sourceforge.net/
Software package to calculate sequence quality statistics and create visual representations of data quality for Illumina's second-generation sequencing technology.
Proper citation: SolexaQA (RRID:SCR_005421) Copy
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