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http://ncmir.ucsd.edu/downloads/combine_rts2000.shtm

Software program that performs the auto-alignment and the composition of images to create the mosaic.

Proper citation: Combine RTS2000 (RRID:SCR_007104) Copy   

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http://ani.embl.de/4DXpress

This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The name 4DXpress stands for expression database in 4D. The 4D (four dimensions) of 4DXpress can be interpreted either as: 3 spatial dimensions plus time, or as 1. species 2. gene 3. developmental stage 4. anatomical structure. The major focus of this database lies in cross species comparison. The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments. Data was integrated from several species specific expression pattern databases, such as ZFIN, BDGP, GXD, MEPD as well as directly submitted by researchers of the participating groups at EMBL. The 4DXpress database is a project within the Centre for Computational Biology at EMBL. It is developed by Yannick Haudry, Thorsten Henrich and Ivica Letunic and coordinated by Thorsten Henrich. Hugo Berube is developing the 4D ArrayExpress Data Warehouse at EBI for integrating in situ data with microarray data.

Proper citation: Expression Database in 4D (RRID:SCR_007066) Copy   

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http://www.bmdw.org

Bone Marrow Donors Worldwide (BMDW) is the continuing effort to collect the HLA phenotypes of volunteer stem cell donors and cord blood units, and is responsible for the co-ordination of their worldwide distribution. Participants are 63 stem cell donor registries from 44 countries, and 43 cord blood banks from 25 countries. The current number of donors and cord blood units in the BMDW database is: 14,605,618 (14,178,976 donors and 426,642 CBU''s The original goal to collect the HLA phenotypes of volunteer stem cell donors and cord blood units, and to co-ordinate their world-wide distribution remain their primary goals. But new initiatives have been added: - To maximise the chance of finding a stem cell donor or cord blood unit by providing access to all stem cell donors and cord blood units available in the world. - To minimise the effort required for stem cell donor or cord blood unit searches: only registries with potential stem cell donors or cord blood units need to be contacted. - To provide an estimate of the chance of finding a stem cell donor or cord blood unit for a given patient. - To provide advanced search programs to identify partially matched stem cell donors or cord blood units. - To facilitate search advice requests via the Internet. - To facilitate improvements in family search strategies. - To provide relevant general information for the benefit of the patient. - To provide statistics on the increase of different registries, the number of DNA typed donors, etc. Sponsors: Bone Marrow Donors Worldwide is an initiative of the Immunobiology Working Party of the European Group of Blood and Marrow Transplantation (EBMT) in 1988. Keyworss: Bone marrow, Donor, Cell, Phenotype, Stem cell, Cord blood unit,

Proper citation: Bone Marrow Donors Worldwide (RRID:SCR_007186) Copy   

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http://bayesiananalysis.wustl.edu

Welcome to the Bayesian Analysis of Common NMR Problems software home page. This Bayesian analysis software is a series of programs with a Java interface that use Bayesian probability theory to solve common data analysis problems that occur in the sciences and in NMR in particular. Click here for a complete list of the applications addressed. The programs that run the various Bayesian analysis, the server software, were developed at Washington University by Dr. G. Larry Bretthorst and the Java language client interface was developed by Dr. Karen Marutyan. The combination of the server and client software is called the Bayesian Analysis of Common NMR Problems software. However, this name is slightly misleading because this software can analyze data from many different sources, not just NMR data. Additionally, unlike the previous interface to this software, this new interface does not require the user to have access to any specialized NMR software, i.e., this interface is completely independent of Varian''s VnmrJ, although the interface can load and process data from a Varian spectrometer. Sponsors: This resource is supported by the Washington University in St. Louis. Keywords: Analysis, Software, Java, Theory, Science, NMR, Server, Data, Spectrometer,

Proper citation: Bayesian Analysis of Common NMR Problems (RRID:SCR_007182) Copy   

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http://biodata.mshri.on.ca/osprey/servlet/Index

Osprey is a software platform for visualization of complex interaction networks. Osprey builds data-rich graphical representations from Geno Ontology (GO) annotated interaction data maintained by The Grid. The following list describes some of the important characteristics of the Osprey Network Visualization System: * Portability ( cross platform availability ) o Osprey is available on almost all Platforms that support the latest Java Plugin * Tools for Biological Analysis o Osprey provides many features such as network filters, connectivity filters, advanced layouts, and dataset superimposing which are extremely useful to biologists who are interested in analyzing their data * Powerful Support Database o Integrated with Osprey is a powerful database of interactions and annotation, see section 8. The GRID ( The General Repository of Interaction Datasets ). * Ease of use o Osprey provides an extremely user friendly interface for working with interaction data * Online Database Add-on Ability o Osprey can be incorporated as a standard visualization tool with online databases such as The GRID * Support for figures o Osprey networks can be saved in SVG, PNG and JPG format so they can be used with image programs Sponsors: Development of Osprey was funded by a grant from the Canadian Institutes of Health Research.

Proper citation: Osprey: Network Visualization System (RRID:SCR_007138) Copy   

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http://bioinf.cs.ucl.ac.uk/software_downloads/biorat/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1,2023. An information extraction (IE) tool specifically designed to perform biomedical IE and which is able to locate and analyze both abstracts and full-length papers. BioRAT is a Biological Research Assistant for Text mining, and incorporates a document search ability with domain-specific IE.

Proper citation: BioRAT (RRID:SCR_007099) Copy   

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http://www.cpan.org

Welcome to CPAN, where you you will find All Things Perl. CPAN is the Comprehensive Perl Archive Network, a large collection of Perl software and documentation. You can begin exploring from either http://www.cpan.org/, http://www.perl.com/CPAN/ or any of the mirrors listed at http://www.cpan.org/SITES.html. Note that CPAN is also the name of a Perl module, CPAN.pm, which is used to download and install Perl software from the CPAN archive. This FAQ covers only a little about the CPAN module and you may find the documentation for it by using perldoc CPAN via the command line or on the web at http://search.cpan.org/dist/CPAN/lib/CPAN.pm. Sponsors: CPAN works with the generosity and cooperation of hundreds of developers, over 100 participating mirrors, funet.fi donating the network bandwidth, storage space and computing power, volunteers who help keep everything together and users whose interest in Perl keep the archive alive and growing. Keywords: Comprehension, Perl, Archive, Software, Documentation,

Proper citation: Comprehensive Perl Archive Network (RRID:SCR_007253) Copy   

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http://earthref.org/MAGIC/

Databases that accept and provide access to paleomagnetic and rock magnetic data. The paleomagnetic data range from individual measurements to specimen, sample or site level results, including a wide variety of derived parameters or associated rock magnetic measurements. The rock magnetic database includes data collected during rock magnetic experiments on remanence, anisotropy, hysteresis and susceptibility. The MagIC Console Software provides an effective environment in Microsoft Excel where users can collate and prepare their paleomagentic and rock magnetic data for uploading in the Online MagIC Database.

Proper citation: Magnetics Information Consortium (RRID:SCR_007098) Copy   

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http://www.chr7.org

Database containing the DNA sequence and annotation of the entire human chromosome 7, encompassing nearly 158 million nucleotides of DNA and 1917 gene structures, are presented; the most up to date collation of sequence, gene, and other annotations from all databases (eg. Celera published, NCBI, Ensembl, RIKEN, UCSC) as well as unpublished data. To generate a higher order description, additional structural features such as imprinted genes, fragile sites, and segmental duplications were integrated at the level of the DNA sequence with medical genetic data, including 440 chromosome rearrangement breakpoints associated with disease. The objective of this project is to generate a comprehensive description of human chromosome 7 to facilitate biological discovery, disease gene research and medical genetic applications. There are over 360 disease-associated genes or loci on chromosome 7. A major challenge ahead will be to represent chromosome alterations, variants, and polymorphisms and their related phenotypes (or lack thereof), in an accessible way. In addition to being a primary data source, this site serves as a weighing station for testing community ideas and information to produce highly curated data to be submitted to other databases such as NCBI, Ensembl, and UCSC. Therefore, any useful data submitted will be curated and shown in this database. All Chromosome 7 genomic clones (cosmids, BACs, YACs) listed in GBrowser and in other data tables are freely distributed.

Proper citation: Chromosome 7 Annotation Project (RRID:SCR_007134) Copy   

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http://www.ebi.ac.uk/Tools/emboss/cpgplot/indexhtml

This portal allows for the detection of regions of genomic sequences that are rich in the CpG pattern is important because such regions are resistant to methylation and tend to be associated with genes which are frequently switched on. Regions rich in the CpG pattern are known as CpG islands. The function of the program cpgplot is to plot CpG rich areas, and cpgreport to report all CpG rich regions. The nuclear genomes of vertebrates are mosaics of isochores, very long stretches of DNA that are homogeneous in base composition and are compositionally correlated with the coding sequences that they embed. Isochores can be partitioned in a small number of families that cover a range of GC levels. Program isochore plots GC content over a sequence. Sponsors: This resource is supported by European Bioinformatics Institute. Keywords: Software, Plotting, Pattern, CpG, Gene, Function, Isochore, DNA, Genome, Homogeneous, Coding, Sequence, Family, Sequencing,

Proper citation: EMBOSS CpGPlot/CpGReport/Isochore (RRID:SCR_007254) Copy   

•   Source: SciCrunch Registry

https://bams1.org/

Knowledge management system designed to handle neurobiological information at different levels of organization of vertebrate nervous system. Database and repository for information about neural circuitry, storing and analyzing data concerned with nomenclature, taxonomy, axonal connections, and neuronal cell types. Handles data and metadata collated from original literature, or inserted by scientists that is associated to four levels of organization of vertebrate nervous system. Data about expressed molecules, neuron types and classes, brain regions, and networks of brain regions.

Proper citation: Brain Architecture Management System (RRID:SCR_007251) Copy   

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http://neurodatabase.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 09, 2015. A repository of neurophysiology data conforming to BrainML data models and protocols: BrainML-formatted experimental data submissions are published in searchable, browsable form. Registered users may submit new experiments. The site contains spike trains, voltage time series, and some derived histograms from single cell and multi-unit activity. The database focuses on in vivo somatosensory and visual activity during task performance. This resource contains only a few datasets, but they are of high quality and have been used for reanalysis by several parties. There are three primary interfaces for querying data from this repository: a web-based browse interface, a web-based HTML query form, and a Java web start desktop application. In addition, there is an XML interface useful for direct access by software clients. To download the source code, please read and acknowledge the license agreement.

Proper citation: Neurodatabase.org (RRID:SCR_007091) Copy   

•   Source: SciCrunch Registry

http://casp.sourceforge.net

CASP is a tool to image analysis in comet assay. CASP has been developed to work with either color, or gray-scale images of fluorescence-stained comets saved in TIF format. In its present version CASP does not control a video or CCD camera. Comets stained with silver (dark cells on white background) must be converted into negative images in order to be analysed correctly. An unlimited number of images can be marked, CASP will load them successively into a image view window (see screenshot). Only comets oriented from left (head) to right (tail) can be analysed correctly. The user can adjust various thresholds of sensitivity and save the adjustments for future use. A measurement frame is drawn on the screen and its size adjusted. The adjustments are frozen to prevent accidental modification. The frame is moved onto a cell and measurement is activated. An intensity profile shows up on a profile window together with selected result values (right window on figure 1) and the result can be saved. In addition to such parameter as head radius, tail length etc, the program calculates the tail moment (TM) and the Olive tail moment (OTM). If several cells are present on the same picture, the user can proceed with the measurement of another cell on the same picture or can load a new picture. The saved results can be visualized during the working session in a spreadsheet in view results window. When measurements are terminated, the results can be exported into a text file and imported into a commercial spreadsheet calculation program. CASP is optimized for a 600x800 resolution. Sponsors: This work has been supported by the University of Wroclaw. Keywords: Comet, Assay, Software, Laboratory, Camera, Negative, Cell, Analysis, Image,

Proper citation: CASPLab: Comet Assay Software Project Laboratory (RRID:SCR_007249) Copy   

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http://cardiogenomica.altervista.org/CARDIOGENOMICS/CardioGenomics%20Homepage.htm

The primary goal of the CardioGenomics PGA is to begin to link genes to structure, function, dysfunction and structural abnormalities of the cardiovascular system caused by clinically relevant genetic and environmental stimuli. The principal biological theme to be pursued is how the transcriptional network of the cardiovascular system responds to genetic and environmental stresses to maintain normal function and structure, and how this network is altered in disease. This PGA will generate a high quality, comprehensive data set for the functional genomics of structural and functional adaptation of the cardiovascular system by integrating expression data from animal models and human tissue samples, mutation screening of candidate genes in patients, and DNA polymorphisms in a well characterized general population. Such a data set will serve as a benchmark for future basic, clinical, and pharmacogenomic studies. Training and education are also a key focus of the CardioGenomics PGA. In addition to ongoing journal clubs and seminars, the PGA will be sponsoring symposia at major conferences, and developing workshops related to the areas of focus of this PGA. Information regarding upcoming events can be found in the Events section of this site, and information about training and education opportunities sponsored by CardioGenomics can be found on the Teaching and Education page. The CardioGenomics project came to a close in 2005. This server, cardiogenomics.med.harvard.edu, remains online in order to continue to distribute data that was generated by investigators under the auspices of the CardioGenomics Program for Genomic Applications (PGA). :Sponsors: This resource is supported by The National Heart, Lung and Blood Institute (NHLBI) of the NIH., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CardioGenomics (RRID:SCR_007248) Copy   

•   Source: SciCrunch Registry

http://www.genes2cognition.org/

A neuroscience research program that studies genes, the brain and behavior in an integrated manner, established to elucidate the molecular mechanisms of learning and memory, and shed light on the pathogenesis of disorders of cognition. Central to G2C investigations is the NMDA receptor complex (NRC/MASC), that is found at the synapses in the central nervous system which constitute the functional connections between neurons. Changes in the receptor and associated components are thought to be in a large part responsible for the phenomenon of synaptic plasticity, that may underlie learning and memory. G2C is addressing the function of synapse proteins using large scale approaches combining genomics, proteomics and genetic methods with electrophysiological and behavioral studies. This is incorporated with computational models of the organization of molecular networks at the synapse. These combined approaches provide a powerful and unique opportunity to understand the mechanisms of disease genes in behavior and brain pathology as well as provide fundamental insights into the complexity of the human brain. Additionally, Genes to Cognition makes available its biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline. The resources are freely-available to interested researchers.

Proper citation: Genes to Cognition: Neuroscience Research Programme (RRID:SCR_007121) Copy   

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http://ideas.repec.org/c/boc/bocode/s360702.html

COLELMS calculates LMS values, smoothed LMS, and growth reference centiles based in smoothed LMS values. df value is set to when calculating smoothed LMS values. You are responsible for setting an appropriate df for your data. This is version 0.2 of the software. Sponsors: This resource is supported by Boston College. Keywords: Software, LMS, Calculation, Growth, Data, Stata, Module,

Proper citation: COLELMS: Stata module to calculate Coles LMS values for growth data (RRID:SCR_007244) Copy   

•   Source: SciCrunch Registry

http://hcv.lanl.gov/content/immuno/immuno-main.html

The HCV Immunology Database contains a curated inventory of immunological epitopes in HCV and their interaction with the immune system, with associated retrieval and analysis tools. The funding for the HCV database project has stopped, and this website and the HCV immunology database are no longer maintained. The site will stay up, but problems will not be fixed. The database was last updated in September 2007. The HIV immunology website contains the same tools, and may be usable for non-HCV-specific analyses. For new epitope information, users of this database can try the Immuno Epitope Database (http://www.immuneepitope.org).

Proper citation: HCV Immunology Database (RRID:SCR_007086) Copy   

•   Source: SciCrunch Registry

http://www.criver.com/

Commercial organism provider selling mice, rats and other model animals. American corporation specializing in a variety of pre-clinical and clinical laboratory services for the pharmaceutical, medical device and biotechnology industries. It also supplies assorted biomedical products and research and development outsourcing services for use in the pharmaceutical industry. (Wikipedia)

Proper citation: Charles River Laboratories (RRID:SCR_003792) Copy   

•   Source: SciCrunch Registry

http://neuroscienceblueprint.nih.gov/

Collaborative framework that includes the NIH Office of the Director and the 14 NIH Institutes and Centers that support research on the nervous system. By pooling resources and expertise, the Blueprint identifies cross-cutting areas of research, and confronts challenges too large for any single Institute or Center. The Blueprint makes collaboration a day-to-day part of how the NIH does business in neuroscience, complementing the basic missions of Blueprint partners. During each fiscal year, the partners contribute a small percentage of their funds to a common pool. Since the Blueprint's inception in 2004, this pool has comprised less than 1 percent of the total neuroscience research budget of the partners. In 2009, the Blueprint Grand Challenges were launched to catalyze research with the potential to transform our basic understanding of the brain and our approaches to treating brain disorders. * The Human Connectome Project is an effort to map the connections within the healthy brain. It is expected to help answer questions about how genes influence brain connectivity, and how this in turn relates to mood, personality and behavior. The investigators will collect brain imaging data, plus genetic and behavioral data from 1,200 adults. They are working to optimize brain imaging techniques to see the brain's wiring in unprecedented detail. * The Grand Challenge on Pain supports research to understand the changes in the nervous system that cause acute, temporary pain to become chronic. The initiative is supporting multi-investigator projects to partner researchers in the pain field with researchers in the neuroplasticity field. * The Blueprint Neurotherapeutics Network is helping small labs develop new drugs for nervous system disorders. The Network provides research funding, plus access to millions of dollars worth of services and expertise to assist in every step of the drug development process, from laboratory studies to preparation for clinical trials. Project teams across the U.S. have received funding to pursue drugs for conditions from vision loss to neurodegenerative disease to depression. Since its inception in 2004, the Blueprint has supported the development of new resources, tools and opportunities for neuroscientists. For example, the Blueprint supports several training programs to help students pursue interdisciplinary areas of neuroscience, and to bring students from underrepresented groups into the neurosciences. The Blueprint also funds efforts to develop new approaches to teaching neuroscience through K-12 instruction, museum exhibits and web-based platforms. From fiscal years 2007 to 2009, the Blueprint focused on three major themes of neuroscience - neurodegeneration, neurodevelopment, and neuroplasticity. These efforts enabled unique funding opportunities and training programs, and helped establish new resources including the Blueprint Non-Human Primate Brain Atlas.

Proper citation: NIH Blueprint for Neuroscience Research (RRID:SCR_003670) Copy   

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http://www.antilope-project.eu/

Consortium focused on making electronic health data more interoperable, both within and outside of Europe, with the intention to create, validate, and disseminate standard methods to test and certify electronic health solutions and services. In particular it will: Drive the adoption of recognized sets of profiles and underlying standards for eHealth interoperability, and improve the impact of the EU and International eHealth standards development process; Define and validate testing guidelines and common approaches on Interoperability Labelling and Certification processes at European and at National / Regional level. Four work packages were created to provide guidelines, recommendations and frameworks based on a set of use cases, related profiles and standards, Interoperability Quality Management System, testing guidelines and Certification process. All the deliverables will be presented for validation and promotion by organizing workshops across Europe.

Proper citation: Antilope Project (RRID:SCR_003829) Copy   

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