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http://neuroshare.sourceforge.net/index.shtml

Neuroshare aims to develop a standard for accessing neurophysiological data from any vendor's acquisition device or software. An API is defined, and vendors and communities are encouraged to provide implementations of a library of functions that can read data files collected with that vendor's instrument or software. The neuroshare.org website is a collaborative, vendor-neutral area dedicated to public domain standards and software for neurophysiology.This website is part of an SBIR program funded by the National Institute for Neural Disorders and Stroke and it is currently being administered by Bionic Technologies, LLC. The goals of the SBIR program are to (Phase I) create open library and format standards for neurophysiological experiment data and (Phase II) create a set of free, open-source software tools for low-level handling and processing of neurophysiological data. Upon completion of Phase I and II, neuroshare.org will be maintained by a yet to be determined consortium of government, academic and industry partners. The SBIR was awarded in the fall of 2001 and Phase I officially began in Dec, 2001. The detailed goals of the program are summarized below:Phase I goals :(1) Establish a working group to develop and define the API library of functions.(2) A vendor-neutral web site to facilitate the development of the standards and software and publish the completed products. This site has been dubbed Neuroshare. The home page can be found at neuroshare.sourceforge.net.(3) An open, standardized API library definition for accessing neurophysiology data files. This will allow developers to produce analysis programs that can access a variety of proprietary data formats through libraries supplied by the data format owners. The manner of support will be completely determined by the research groups and vendors that supply the libraries. The Phase I standard was created by a working group consisting of international members from industry and academia. Draft standards were published for public review and comment on the neuroshare web site and revised by the working group.The grant has been awarded as a fast-track program so that Phase II begins immediately upon completion of the Phase I milestones in June 2002. Phase II will produce :(1) A set of neuroshare-compliant API libraries for existing data formats developed in collaboration with individual equipment vendors and research groups.(2) A utility for analyzing compliant API libraries for integrity and specification conformance, as well as for error checking imported data files.(3) A set of template programs in C that are meant to be used as an example on how to create a Neuroshare API compliant library and how to call it from an application,(4) An open, standardized file format for neurophysiological experiment data. This format will provide research groups and vendors with a file format for exchanging and/or publishing neural data. The format will also be powerful enough for use as a native format for researchers or vendors that wish to support it in data acquisition hardware/software.(5) Import filters that interface neuroshare-compliant API libraries to Visual Basic, MATLAB, and LabVIEW, NeuroExplorer, and Stranger analysis environments.(6) A utility program for quick header information viewing and searching to aid the organization and management of data files in the standard and proprietary formats.(7) A data file editing program for reviewing, editing, annotating, and splicing neural data files through the neuroshare API libraries and/or standard file formats. The suite will be developed in C, optimized for speed, and will run within 32-bit Windows operating systems. The availability of source code will enable eventual ports to Unix/Linux if desired(8) An add-on for the editing program that will allow review and real-time playback of multi-modal data accessible through the API and/or standard file format. These modes will include neurophysiological signals such as spikes, local field potentials and EEG, as well as experimental signals such as kinematics, stimulation, audio, video, and imaging data.(9) C and MATLAB framework programs for detection and classification of extracellular spikes in the standard data files based on classical and user-supplied algorithms.(10) A complete MATLAB application for reading data from the standard format and performing reverse correlation analysis. This program will serve as a tutorial and modifiable template for users performing analysis in MATLAB.(11) A set of export filters for creating neurophysiological data files with the neural simulation environments NEURON, NEOSIM, GENESIS, and NSL.(12) A comprehensive documentation, and help file set for all of the developed applications.Phase II will require two years of development work and software products will be made available as they are completed. As stated above, the Phase II software products will be made available as free, open-source tools. We have not decided on a license model yet, but are currently leaning towards the GNU General Public License. Revisions and bug-fixes will be maintained through the neuroshare.org website. The mission of neuroshare.org is very focused, but the specific goal list of Phase II may evolve somewhat as software is released and user feedback is received. We very interested in public suggestions about how to improve this development effort and web site. Please direct your feedback to commentsneuroshare.org or refer to our contacts page for other addresses.BackgroundThis endeavor grew out of a meeting held at the Society for Neuroscience 2000 Annual Conference in New Orleans (agenda posted here) to discuss the development of standard data formats for neuroscience. From this meeting, it was clear that although everyone supported the idea of better data portability, many vendors present wanted a standardized API (Application Program Interface) library rather than a universal data format. Based on this meeting, we submitted an SBIR application (with letters of support from key attendants of the SFN meeting) to fund the development of a standardized API definition, data format, and a suite of open source data handling and review tools.

Proper citation: Neuroshare - Open data specifications and software for neurophysiology (RRID:SCR_000005) Copy   

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http://sourceforge.net/projects/exomesuite/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software application designed to analyze variant call files from next generation sequencing data to identify variants causing disease.

Proper citation: exomeSuite (RRID:SCR_000129) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/meshmetric3d/

Software visualization tool based on the VTK library. Its main feature is to measure and display surface-to-surface distance between two triangle meshes using user-specified uniform sampling. Offers all the basic tools to visualize meshes such as color, opacity, smoothing, down sampling or type of representation.

Proper citation: 3DMeshMetric (RRID:SCR_000043) Copy   

•   Source: SciCrunch Registry

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

MATLAB software designed to organize, automate, and enhance the analytical procedures which operate on CPMG RD NMR data.

Proper citation: GUARDD (RRID:SCR_000040) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for semantic labelling of flow cytometric cell populations.

Proper citation: flowCL (RRID:SCR_000046) Copy   

•   Source: SciCrunch Registry

https://github.com/lskatz/cg-pipeline

A software tool for assembling genome sequence data and running feature prediction and annotation tools on the assembly.

Proper citation: CG-Pipeline (RRID:SCR_000047) Copy   

•   Source: SciCrunch Registry

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

Software providing an AJAX-based web browser for visualizing and analyzing transcriptome assemblies and contigs.

Proper citation: Cbrowse (RRID:SCR_000044) Copy   

•   Source: SciCrunch Registry

http://www.imrser.org/

The Institute for Magnetic Resonance Safety, Education, and Research (IMRSER) was formed in response to the growing need for information and research on matters pertaining to magnetic resonance (MR) safety. The IMRSER is the first independent, multidisciplinary, professional organization devoted to promoting awareness, understanding, and communication of MR safety issues through education and research. Mission Statement To promote awareness and understanding of MR safety, To disseminate information regarding current and emerging MR safety issues, To develop and provide materials and resources to facilitate MR safety-related education and training, To respond to critical MR safety issues with a sense of urgency, and To advance the field of MR safety through support of scientific research. Functions and activities of the IMRSER include development of up-to-date MR safety materials and dissemination of this information to the MR community. This is accomplished predominantly through the efforts of the Advisory Boards. Members of the Advisory Boards of the Institute for Magnetic Resonance Safety, Education, and Research (IMRSER) are charged with creating recommendations, guidelines, position papers, and educational materials pertaining to existing or emerging MR safety issues. This is achieved by utilizing the pertinent peer-reviewed literature and by relying on each members extensive clinical, research, or other appropriate experience. Notably, documents developed by the IMRSER incorporate MR safety guidelines and recommendations created by the International Society for Magnetic Resonance in Medicine (ISMRM), the American College of Radiology (ACR), the Food and Drug Administration (FDA), the National Electrical Manufacturers Association (NEMA), the Medical Devices Agency (MDA), the International Electrotechnical Commission (IEC), and other similar organizations. The IMRSERs rigorous development and review process for MR safety documents ensures that authoritative and relevant information is produced in a timely manner for rapid dissemination to the MR community. The MR safety information is provided to MR healthcare professionals and others as hard copy and electronic publications. Additionally, this information is posted on the IMRSER web site as well as on www.MRIsafety.com (currently with over 92,000 registered users). The Institute for Magnetic Resonance Safety, Education, and Research permits all members of the MR community to use the MRI Safety Guidelines posted on this web site. Please be sure to read and understand our disclaimer.

Proper citation: Institute for Magnetic Resonance Safety, Education and Research (RRID:SCR_000039) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/data/annotation/html/RmiR.Hs.miRNA.html

Software package for various databases of microRNA Targets.

Proper citation: RmiR.Hs.miRNA (RRID:SCR_000101) Copy   

•   Source: SciCrunch Registry

http://www.genetex.com/

An antibody supplier for the purposes of life science and biomedical research. This company has a wide variety of immunological reagents that focus on areas of research such as cancer, cell biology, epigenetics, immunology and infectious diseases.

Proper citation: GeneTex (RRID:SCR_000069) Copy   

•   Source: SciCrunch Registry

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

Software that predicts fusion transcripts and associated CGRs from matched RNA-seq and Whole Genome Shotgun Sequencing (WGSS).

Proper citation: nFuse (RRID:SCR_000066) Copy   

•   Source: SciCrunch Registry

https://github.com/SciLifeLab/facs

Software for classification of Sequences using Bloom filters that can accurately and rapidly align sequences to a reference sequence.

Proper citation: FACS (RRID:SCR_000055) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/batman-seq/

A fast BWT-based short reads mapping tools which uses additional statistical method to model error profile of the sequencing experiment.

Proper citation: Batman-Seq (RRID:SCR_000048) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/indelocator

A software tool for calling short indels in next generation sequencing data.

Proper citation: Indelocator (RRID:SCR_005258) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/knime4bio/

A set of custom nodes for the KNIME (The Konstanz Information Miner) graphical workbench, for analysing next-generation sequencing (NGS) data without the requirement of programming skills.

Proper citation: Knime4Bio (RRID:SCR_005376) Copy   

•   Source: SciCrunch Registry

http://ergatis.sourceforge.net/

A web interface and scalable software system for bioinformatics workflows that is used to create, run, and monitor reusable computational analysis pipelines. It contains pre-built components for common bioinformatics analysis tasks. These components can be arranged graphically to form highly-configurable pipelines. Each analysis component supports multiple output formats, including the Bioinformatic Sequence Markup Language (BSML). The current implementation includes support for data loading into project databases following the CHADO schema, a highly normalized, community-supported schema for storage of biological annotation data. Ergatis uses the Workflow engine to process its work on a compute grid. Workflow provides an XML language and processing engine for specifying the steps of a computational pipeline. It provides detailed execution status and logging for process auditing, facilitates error recovery from point of failure, and is highly scalable with support for distributed computing environments. The XML format employed enables commands to be run serially, in parallel, and in any combination or nesting level.

Proper citation: Ergatis (RRID:SCR_005377) Copy   

•   Source: SciCrunch Registry

http://toolshed.g2.bx.psu.edu/repository/display_tool?repository_id=5d0de444b1f9ac52&tool_config=database%2Fcommunity_files%2F000%2Frepo_136%2Fcrest.xml&changeset_revision=4f6952e0af48

An algorithm for detecting genomic structural variations at base-pair resolution using next-generation sequencing data. CREST uses pieces of DNA called soft clips to find structural variations. Soft clips are the DNA segments produced during sequencing that fail to properly align to the reference genome as the sample genome is reassembled. CREST uses the soft clips to precisely identify sites of chromosomal rearrangement or where pieces of DNA are inserted or deleted.

Proper citation: CREST (RRID:SCR_005257) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/molbiolib/

A compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. It is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. This package assumes fluency in both UNIX and C++.

Proper citation: MolBioLib (RRID:SCR_005372) Copy   

•   Source: SciCrunch Registry

http://www.ulg.ac.be/cms/c_5000/en/

Public university in French community of Belgium. International university spreads out over 4 campuses. Its official language is French.

Proper citation: University of Liege; Wallonia; Belgium (RRID:SCR_005369) Copy   

•   Source: SciCrunch Registry

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

An interactive software program that integrates phenotypic data exploration, selection, management and quality control using a unified platform for association studies of rare and common variants.

Proper citation: PhenoMan (RRID:SCR_005249) Copy   

•   Source: SciCrunch Registry