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http://search.cpan.org/~cmungall/go-perl/

go-perl is a set of Perl modules for parsing, manipulating and exporting ontologies and annotations. It includes parsers for the OBO and GO gene association file formats. It has a graph-based object model with methods for graph traversal. For more details, see the documentation included with the modules. go-perl comes bundled with XSL (Extensible Stylesheet Language) transforms (which can also be used independently of Perl, provided you have files in OBO-XML format), as well as scripts that can be used as standalone tools. Installation should be simple, provided you have some experience with Perl and CPAN; see the INSTALL file for details. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: go-perl (RRID:SCR_005730) Copy   

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http://www.bioinf.uni-freiburg.de/Software/GraphProt/

Software for modeling binding preferences of RNA-binding proteins from high-throughput experiments such as CLIP-seq and RNAcompete.

Proper citation: GraphProt (RRID:SCR_005842) Copy   

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http://brain-development.org/

brain-development.org hosts data and resources used in computational analysis of brain development, including MRI data sets of developing human, software tools, atlases, protocols and software. Several different atlas datasets are available including: * Adult * Pediatric * Neonatal (T2 Templates, Probability Maps) * Neonatal (High-definition, T1 and T2 Templates, Probability Maps) * Fetal (High-definition, T2 Templates, Probability Maps) * Atlas software Anatomical segmentation protocols are available, as well as an Image Registration Toolkit.

Proper citation: brain-development.org (RRID:SCR_005838) Copy   

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http://brain-development.org/ixi-dataset/

Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system

Proper citation: IXI dataset (RRID:SCR_005839) Copy   

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http://www.antoniahamilton.com/amat.html

AMAT is a Matlab-based, open source interface for searching fMRI coordinates together with a simple database of coordinates. The AMAT database is deliberately designed to be minimal. Effectively, the database reproduces the tables of XYZ coordinates which are common in fMRI papers. Each coordinate is associated with the anatomical label given by the authors of the original paper, a ag for Talaraich or MNI coordinates, a very brief description of the description of the functional task or contrast which activated this coordinate, and the PubMed ID of the published paper. The latter links directly to the abstract in PubMed and allows the user to retrieve the original publication. Anatomical information labeling a coordinate as a particular Brodmann area or functional region is optional, and is normally only included if the authors of the original paper included these labels. No other information is stored.

Proper citation: AMAT (RRID:SCR_005836) Copy   

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http://medschool.umaryland.edu/

Medical school of the University of Maryland, Baltimore and is affiliated with the University of Maryland Medical Center and Medical System. Located in Baltimore City, Maryland, U.S.

Proper citation: University of Maryland School of Medicine; Maryland; USA (RRID:SCR_005837) Copy   

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http://hadvwg.gmu.edu/

The Human Adenovirus Type Classification coordinates the naming of candidate new types, prior to manuscript submission for peer review. This resource contains a method of submitting candidate HAdV, criteria for a new HAdV type, and a Serotyping tool, which displays all potential types corresponding to the query serotype entered by a user. The criteria are based on discussions at the International Adenovirus Meeting (Dobog��k, Hungary; 26-30 April, 2009) and the NIH Human Adenovirus Working Group Workshop (Bethesda, MD. USA; 3 February 2011), which are summarized in a Letter to the Editor.

Proper citation: Human Adenovirus Type Classification (RRID:SCR_005753) Copy   

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http://www.crystallography.net/

Database of crystal structures of organic, inorganic, metal-organic compounds and minerals, excluding biopolymers. It currently contains ~291204 entries (July 2014) in crystallographic information file format, with nearly full coverage of the International Union of Crystallography publications, and is growing in size and quality. Deposit your data: An interface allows you to upload, validate and edit CIF files before submitting them for deposition.

Proper citation: Crystallography Open Database (COD) (RRID:SCR_005874) Copy   

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http://www.clipz.unibas.ch/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 20,2019.Database and analysis environment for experimentally determined binding sites of RNA-binding proteins. It supports the automatic functional annotation of short reads resulting primarily from crosslinking and immunoprecipitation experiments (CLIP) performed with RNA-binding proteins in order to identify the binding sites of these proteins. The functional annotation could be also applied to short reads resulting from other types of experiments such as mRNA-Seq, Digital Gene Expression, small RNA cloning, etc. The platform enables visualization and mining of individual data sets as well as analysis involving multiple experimental data sets. The platform can support collaborative projects involving multiple users and groups of users as well as public and private datasets.

Proper citation: CLIPZ (RRID:SCR_005755) Copy   

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http://www.icpsr.umich.edu/icpsrweb/NACDA/

Archive of data relevant to gerontological and aging research. Used to advance research on aging. Subjects include demographic, social, economic, and psychological characteristics of older adults, physical health and functioning of older adults, and health care needs of older adults. NACDA staff represents team of professional researchers, archivists and technicians who work together to obtain, process, distribute, and promote data relevant to aging research.

Proper citation: National Archive of Computerized Data on Aging (NACDA) (RRID:SCR_005876) Copy   

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http://www.antibodiesinc.com/index.html

An Antibody supplier

Proper citation: Antibodies Incorporated (RRID:SCR_005877) Copy   

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https://datadryad.org

International, curated, digital repository that makes the data underlying scientific publications discoverable, freely reusable, and citable. Particularly data for which no specialized repository exists. Provides the infrastructure for, and promotes the re-use of, data underlying the scholarly literature. Governed by a nonprofit membership organization. Membership is open to any stakeholder organization, including but not limited to journals, scientific societies, publishers, research institutions, libraries, and funding organizations. Most data are associated with peer-reviewed articles, although data associated with non-peer reviewed publications from reputable academic sources, such as dissertations, are also accepted. Used to validate published findings, explore new analysis methodologies, repurpose data for research questions unanticipated by the original authors, and perform synthetic studies.UC system is member organization of Dryad general subject data repository.

Proper citation: Dryad Digital Repository (RRID:SCR_005910) Copy   

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http://en.opasnet.org

Opasnet is a wiki-based website and workspace for helping societal decision making. The website collects, synthesizes, and distributes people''s values and scientific information. Opasnet welcomes anyone who wants to promote science-based decision-making in any field. The specialty is that the information is structured for both scientific scrutiny and for policy use at the same time. In practice, you can do original research, store data, make models, and perform policy assessments and discuss all of that work in one workspace. Originally, the developers of Opasnet came from the environmental health, i.e. a research field that studies the impacts of environment on human health. We are actively working, among other things, on climate change and air pollution, but you can also start a new assessment about a decision of your own interest, or participate in an existing assessment. Opasnet is a website that has basically two parts. One part is a wiki site (called Opasnet wiki or simply Opasnet) that has descriptive pages with text, figures, and tables; it also contains files. The other part is a database called Opasnet Base that contains quantitative estimates about anything that is described in Opasnet. The majority of information is openly available. However, both Opasnet wiki and Opasnet Base have a protected area for working with material that is non-public for some reason.

Proper citation: Opasnet (RRID:SCR_005751) Copy   

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http://www.terryfox.org/

The Terry Fox Foundation is responsible for supporting close to $20 million in discovery based research each year in Canada - all monies raised outside Canada must be distributed to (a) an institute approved by the Foundation and its advisors or (b) remitted to Canada. The Terry Fox Research Institute (TFRI) is a recipient of TFF funding for translational research. TFRI is an exciting new initiative whose goal is to translate rapidly today''s best science into better cancer treatment and diagnosis for all Canadians. The Institute will bring scientists and clinicians together across the country into a functionally integrated, geographically dispersed Institute with nodes in several provinces. Terry Fox was diagnosed with osteogenic sarcoma (bone cancer) in his right leg in 1977 and had his leg amputated 15 cm (six inches) above the knee. While in hospital, Terry was so overcome by the suffering of other cancer patients that he decided to run across Canada to raise money for cancer research. He called his journey the Marathon of Hope. Terry''s Marathon of Hope took place in 1980 with the simple objective of informing Canadians of the importance of finding a cure for cancer. With fierce determination, he ran an average of 42 kilometres (26 miles) every day for 143 days. Terry was forced to end his run on September 1, 1980 when the cancer spread to his lungs. By February 1, 1981, Terry''s dream of raising $1 for every Canadian was realized - the Terry Fox Marathon of Hope fund totaled $24.17 million. Terry died in June 1981. On May 26, 1988, The Terry Fox Run became a Trust, independent from the Canadian Cancer Society, and received tax-exempt charitable registration as a public foundation. In addition to our signature and long-standing National Terry Fox Run Day in September of each year, The Terry Fox Foundation is proud to include in its events portfolio The National School Run Day. The Foundation recognizes the duality of its mandate. Not only does it raise money for research, but it also continues to share the story of Terry Fox. The Terry Fox Foundation strives to maintain the heroic effort and integrity that Terry embodied. It is a grassroots organization that does not allow the Terry Fox name or likeness to be commercialized or conjoined with other worthy causes. To date, over $600 million has been raised worldwide for cancer research in Terry''s name.

Proper citation: Terry Fox Foundation (RRID:SCR_005873) Copy   

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http://apps.cytoscape.org/apps/jepetto

A Cytoscape plugin that performs integrated gene set analysis using information from interaction, pathways and processes databases. The plugin integrates information from three separate web servers specializing in enrichment analysis, pathways expansion and topological matching. It uses the TopoGSA server to identify topological analogies between the user selected gene set and the known pathways and processes. TopoGSA finds the most similar biological mechanism using the topological features of the interaction network of a user selected gene set. It is also able to suggest genes related to the query gene set using two pathway analysis servers EnrichNet and PathExpand. Both these servers are using a different topological matching algorithms that extends the query gene set with genes from the pathway databases. This integration substantially simplifies the analysis of user gene sets and the interpretation of the results.

Proper citation: JEPETTO (RRID:SCR_005909) Copy   

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http://www.opencalais.com/

Service and open API to tag the people, places, facts and events in your content. You hand the Web Service unstructured text (like news articles, blog postings, your term paper, etc.) and it returns semantic metadata in RDF format. Using natural language processing and machine learning techniques, the Calais Web Service examines your text and locates the entities, facts, and events. Calais then processes the entities, facts and events extracted from the text and returns them to the caller in RDF format. * Calais Tagaroo: If you are on WordPress, this plug-in automatically tags content as you type. It can also fetch images from Flickr and videos from Google Video. * Calais Marmoset: To manipulate your search results appearance in Google and Yahoo!, which is simple javacode you embed in your site pages. It will collect the metadata from your page (in the form of RDFa) and hand it over to Google Rich Snippets> and Yahoo! Search Monkey so that you can customize the way your search results appear. * Semantic Proxy: If you want to extract metadata from Web pages using URLs * Calais Collection: For the open source platform Drupal, you can find a complete Calais Collection of modules for easy integration. * OpenPublish: for building a new site from the ground up, this free Content Management System is based on Drupal. OpenPublish bakes-in OpenCalais from the ground up to semantify your site and automate the creation of ''related reading'' widgets, ''topic hubs'' and more.

Proper citation: OpenCalais (RRID:SCR_005906) Copy   

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https://trac.nbic.nl/passion/

A pattern growth algorithm based pileline for splice site detection in paired-end RNA-Seq data.

Proper citation: PASSion (RRID:SCR_005867) Copy   

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http://www.hvidovrehospital.dk/

Proper citation: Hvidovre Hospital; Hvidovre; Denmark (RRID:SCR_005747) Copy   

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http://europepmc.org/

Free access to biomedical literature resources including all of PubMed and PubMed Central, agricultural abstracts (from AGRICOLA), over 4 million international life science patents abstracts, National Health Service (NHS) clinical guidelines, and is supplemented with Chinese Biological Abstracts and the Citeseer database. As well as powerful search of abstracts and full text articles, it also includes: * article citations and sort order based on citation count * data citations mined from full text articles * links to and from related databases and institutional repositories * a tool to create bibliographies linked to your ORCID * named entity recognition of keywords and text-mining-based applications showcased in Europe PMC Labs * Tools for recipients of grants from one of the Europe PMC funders to deposit full-text manuscripts and link them to those specific grants. * Web services for programmatic access to all the above bibliographic information and 50,000 grants. * Search by publication date, relevance, or the number of times an article has been cited. * Links to public databases such as UniProt, Protein Data Bank (PDBe), and the European Nucleotide Archive (ENA) are provided. * Through textmining technologies, you can highlight and browse keywords such as gene names, organisms and diseases. * Search 40,000 biomedical research grants awarded to the 18,000 PIs supported by the Europe PMC funders. * Roadtest new tools based on Europe PMC content in Europe PMC labs. * In Europe PMC plus, PIs supported by the Europe PMC funders can link grants to publication information, view article citation and download statistics, and submit manuscripts.

Proper citation: Europe PubMed Central (RRID:SCR_005901) Copy   

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http://www.mgc.ac.cn/TrED/

TrED is a database of Trichophyton rubrum, a fungus. The database contains strains, cDNA libraries, pathways, and microarray data as well as a directed set of literature. Trichophyton rubrum is the most common dermatophyte species and the most frequent cause of fungal skin infections in humans worldwide. It''''s a major concern because feet and nail infections caused by this organism is extremely difficult to cure. A large set of expression data including expressed sequence tags (ESTs) and transcriptional profiles of this important fungal pathogen are now available. Careful analysis of these data can give valuable information about potential virulence factors, antigens and novel metabolic pathways. We intend to create an integrated database TrED to facilitate the study of dermatophytes, and enhance the development of effective diagnostic and treatment strategies. All publicly available ESTs and expression profiles of T. rubrum during conidial germination in time-course experiments and challenged with antifungal agents are deposited in the database. In addition, comparative genomics hybridization results of 22 dermatophytic fungi strains from three genera, Trichophyton, Microsporum and Epidermophyton, are also included. ESTs are clustered and assembled to elongate the sequence length and abate redundancy. TrED provides functional analysis based on GenBank, Pfam, and KOG databases, along with KEGG pathway and GO vocabulary. It is integrated with a suite of custom web-based tools that facilitate querying and retrieving various EST properties, visualization and comparison of transcriptional profiles, and sequence-similarity searching by BLAST. TrED is built upon a relational database, with a web interface offering analytic functions, to provide integrated access to various expression data of T. rubrum and comparative results of dermatophytes. It is devoted to be a comprehensive resource and platform to assist functional genomic studies in dermatophytes.

Proper citation: TrED (RRID:SCR_005869) Copy   

•   Source: SciCrunch Registry