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http://scicrunch.org/Aging

Portal devoted to aging relevant scientific data and resources.

Proper citation: Aging Portal (RRID:SCR_000496) Copy   

•   Source: SciCrunch Registry

http://www.epilepsygenetics.eu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Group of clinical care and epilepsy research centers who are committed to improving the lives of people with epilepsy through an understanding of the genetics of epilepsy. The consoritum was in an effort to speed discovery to epilepsy genetics by pooling the resources of several research centres., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: EPIGEN (RRID:SCR_000093) Copy   

•   Source: SciCrunch Registry

http://gtr.rcuk.ac.uk/project/239F234A-6BF7-4E28-8964-E882BAA8EB77

Project aiming to establish a range of new technologies to enable the synthesis of a range of chemicals from sugar beet pulp (SBP) in a cost-effective and sustainable manner. The chemical and pharmaceutical industries are currently reliant on petrochemical derived intermediates for the synthesis of a wide range of valuable products. Decreasing petrochemical reserves and concerns over costs and greenhouse gas emissions are driving the search for renewable sources of organic synthons. The UK is self-sufficient in the production of SBP which is a by-product of sugar beet production (8 million tonnes grown per year) and processing. The ability to convert SBP into chemicals and pharmaceutical intermediates will therefore have significant economic and environmental benefits. SBP is rich in carbohydrate (nearly 80% by weight) which is made up of roughly equal proportions of 2 biological polymers; cellulose and pectin. To be cost-effective it will be necessary to find uses for each of these substances. The consortium will develop a biorefinery approach for the selective breakdown of both polymers, purification of the breakdown compounds and their use to synthesize a range of added value products such as speciality chemicals, pharmaceuticals and biodegradable polymers. It is already known that cellulose can be broken down into hexose sugars and fermented to ethanol for use in biofuels. The focus is on the release of galacturonic acid and arabinose (from pectin) and their conversion, by chemical or enzymatic means, into added value products. Synthetic Biology methods will also be explored to test the feasibility of metabolically engineering microbial cells to simultaneously breakdown the polymeric feed material and synthesize a desired product, such as aromatic compounds, in a single integrated process. In conducting this research the consortium will adopt a holistic, systems-led, approach to biorefinery design and operation. Computer-based modelling tools will be used to assess the efficiency of raw material, water and energy utilization. Economic and Life Cycle Analysis (LCA) approaches will then be employed to identify the most cost-effective and environmentally benign product and process combinations. The project is supported by a range of industrial partners from raw material producer to intermediate technology providers and end-user chemical and pharmaceutical companies. This is crucial in providing business and socio-economic insights regarding the adoption of renewable resources into their current product portfolios. The company partners will also provide the material and equipment resources for the large-scale verification of project outcomes and their ultimate transition into commercial manufacture. The Intellectual Property (IP) expected to be generated by the consortium will most likely be related to new biocatalysts, synthetic routes, USD devices and modelling software. The data is accessible programmatically using one of three application programming interfaces GtR, GtR-2 and CERIF.

Proper citation: Bio-derived Feedstocks for Sustainable UK-Based Manufacture of Chemicals and Pharmaceutical Intermediates (RRID:SCR_000490) Copy   

•   Source: SciCrunch Registry

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   

•   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

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

OntoMorph is a tab plugin for Protege-OWL 3 that allows a user to mark-up portions of a Neurolucida neuron morphology with OWL instances. A user loads a Neurolucida morphology file, either from their hard drive or from an arbitrary URL, into an interface that allows them to zoom, rotate, and translate the morphology. The interface allows them to select points on the morphology to indicate points, segments, or subtrees of the morphology they wish to assign to an OWL instance. After this selection has been made, OntoMorph saves the selection to the currently active OWL instance in the ontology that is currently loaded into Protege. No modifications are made to the Neurolucida file itself. As a result, an association is created between that portion of the morphology and the OWL instance, such that selecting the OWL instance allows retrieval of the portion. Upon retrieval, the morphology portion can be highlighted, so the user can keep track of what pieces each instance refer to.

Proper citation: OntoMorph Tab (RRID:SCR_000443) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gmato/files/?source=navbar

A software tool used for simple sequence repeats (SSR) or microsatellite characterization. It also facilitates SSR marker design on a genomic scale, microsatellite mining at any length, and comprehensive statistical analysis for DNA sequences in any genome at any size. Analysis parameters are customizable.

Proper citation: GMATo (RRID:SCR_000165) Copy   

•   Source: SciCrunch Registry

https://trialweb.dcri.duke.edu/tads/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Multi-site clinical research study examining the short- and long-term effectiveness of an antidepressant medication and psychotherapy alone and in combination for treating depression in adolescents ages 12 to 17. For teens treated in TADS, the trial is designed to provide best-practice practical care for depression.

Proper citation: TADS - Treatment for Adolescents with Depression Study (RRID:SCR_000037) Copy   

•   Source: SciCrunch Registry

http://www.incf.org/resources/data-space/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 21, 2017.

Repository for sharing of neuroscience data, text, images, sounds, movies, models and simulations.

Proper citation: INCF Dataspace (RRID:SCR_000158) Copy   

•   Source: SciCrunch Registry

http://gst.tennessee.edu/

Graduate School of Genome Science and Technology (GST) is a Life Science graduate program founded on two premises. First, whole-genome sequences and related large-scale datasets have transformed how we perform biological research, a trend that is gathering momentum and is anticipated to frame the way the biology research is accomplished for many years to come. Second, advances in technology, whether at the level of instrumentation, computation, or wet lab reagents, have long been a powerful driving force in biology. The GST program is home to faculty mentors from many walks of life. The virulence factors of pathogenic fungi and the engineering of photosynthetic reaction complexes for bioenergy harvesting are just two examples from the cornucopia of research projects being pursued in GST.

Proper citation: University of Tennessee Genome Science and Technology Graduate Program (RRID:SCR_000038) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/rnaseqvariantbl/

Open source software tool that simulates experimental RNA-seq and DNA whole exome sequences derived from reference genome, aligns these sequences by custom parameters, detects variants and outputs blacklist of positions and alleles caused by mismapping. Used to characterize mappability of RNA-Seq reads and create blacklist of genomic positions of mismapped reads. This blacklist is used to filter potential false positives from variant or RNA editing calls.

Proper citation: BlackOPs (RRID:SCR_000032) Copy   

•   Source: SciCrunch Registry

http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291757-7012

Wiley Interdisciplinary Reviews series combines features of encyclopedic reference works and review journals in innovative online format. They are designed to promote cross-disciplinary research ethos while maintaining the highest scientific and presentational standards, but should be viewed first and foremost as evolving online databases of cutting-edge reviews.

Proper citation: WILEY Interdisciplinary Reviews (RRID:SCR_000392) Copy   

•   Source: SciCrunch Registry

http://sw-tools.pdb.org/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Information Portal to Biological Macromolecular Structures provides variety of software tools made available through the RCSB. These tools include: data extraction and deposition preparation tools, data format conversion and validation tools, data parsing tools, dictionary and data management tools, visualization tools that support PDBx/mmCIF, and other PDBx/mmCIF software library tools.

Proper citation: RCSB PDB Software Tools (RRID:SCR_000035) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/DESeq.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.

Proper citation: DESeq (RRID:SCR_000154) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/popbam/

A tool to perform evolutionary or population-based analyses of next-generation sequencing data. POPBAM takes a BAM file as its input and can compute many widely used evolutionary genetics measures in sliding windows across a genome.

Proper citation: POPBAM (RRID:SCR_000464) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/glide

Software package which approximates a complete search of the conformational, orientational, and positional space of the ligand in a given receptor. Used in drug development for predicting protein ligand binding modes and ranking ligands via high throughput virtual screening.

Proper citation: Glide (RRID:SCR_000187) Copy   

•   Source: SciCrunch Registry

http://www.unavco.org/data/web-services/documentation/unavco-ws-api/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Web services to access UNAVCO data collection. Adding /gps, /met, /pore, /tilt, and /strain gives the sensor JSON description.

Proper citation: UNAVCO Geodetic Web Services (RRID:SCR_000181) Copy   

•   Source: SciCrunch Registry

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

Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions.

Proper citation: GASV (RRID:SCR_000061) Copy   

•   Source: SciCrunch Registry

https://github.com/brantp/rtd

Reference-free ddRADseq analysis software tools. The pipeline script generates reference-sorted, indexed BAM from uniqued reads from radtag sequencing lanes.

Proper citation: rtd (RRID:SCR_000337) Copy   

•   Source: SciCrunch Registry

http://www.cdisc.org/

A global, open, multidisciplinary, non-profit organization that has established standards to support the acquisition, exchange, submission and archive of clinical research data and metadata. Its mission is to develop and support global, platform-independent data standards that enable information system interoperability to improve medical research and related areas of healthcare. CDISC standards are vendor-neutral, platform-independent and freely available via the CDISC website.

Proper citation: Clinical Data Interchange Standards Consortium (RRID:SCR_000219) Copy   

•   Source: SciCrunch Registry