Tools   Select Another Resource Report Type

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

Xvoxtrace enables volume segmentation of tomographic data using manual tracing. This program allows the researcher to outline features on individual planes of the volume while being guided by simultaneous views of the tracing displayed on a volume rendering or tilt-series. Traced contours can be viewed using XDend or used to generate surfaces for viewing in Synu. Basic Requirements:OpenGL, X windows, and Linux platforms : :

Proper citation: Xvoxtrace (RRID:SCR_007377) Copy   

•   Source: SciCrunch Registry

http://www.research-in-germany.de/

The English web portal www.research-in-germany.de is an information platform and contact point for all looking to find out more about Germany''s research landscape and its latest research achievements. An interdisciplinary portal The portal not only informs researchers and scientists about what Germany has to offer them. It also covers the 17 future fields of the High-Tech Strategy and other fields of science and learning. In addition, it addresses a whole host of other players from politics and government, business and industry, or science and research, as well as our young researchers, of course. Editorial responsibility for the portal lies with the German Academic Exchange Service (DAAD), acting on behalf of the Federal Ministry of Education and Research (BMBF). The Research in Germany Land of Ideas Campaign The campaign to Promote Innovation and Research in Germany was launched in November 2006 to position German research in the international market. Since then, the campaign has been running worldwide under the brand Research in Germany Land of Ideas. Its declared goal is to highlight research in Germany and the advantages that it offers. This makes German research institutions more visible to our partners, customers and competitors. The campaign primarily aims to strengthen the networks that exist between German research institutions and our strategic partners worldwide. A further goal involves inspiring the world''s best minds in research and development to come to Germany to carry out their projects and then to make the most of the resulting opportunities that open up for both sides. Not to forget the goal of encouraging more international cooperation in science and research. job resource; funding resource; grants; training resource.

Proper citation: Research in Germany Web Portal (RRID:SCR_007410) Copy   

•   Source: SciCrunch Registry

http://www.nncn.de/

The Bernstein Network for Computational Neuroscience, Germany, is a funding initiative of the German Federal Ministry of Education and Research that supports the development of this field in Germany. Understanding the brain is the prerequisite for creating new methods for prevention and treatment of diseases of the nervous system. It may also help developing new strategies for learning and teaching. It may even be used for the design of new, ''intelligent'' technical devices, such as neuroprostheses or more powerful computer systems. For investigating the brain, the interdisciplinary approach of computational neuroscience, in which experts in biology, physics, psychology, medicine, mathematics and engineering join forces, holds especially promising perspectives. By combining experiment, data analysis, theoretical modelling and computer simulations, computational neuroscience allows translating basic research to targeted applications. The Bernstein Network currently comprises more than 200 research groups at over 20 locations all over Germany. It entertains partnerships with more than 20 companies. Besides its research activities, the network offers attractive teaching and training options for young researchers. A large number of open positions are available, ranging from PhD students positions up to professorships. Keywords: grant, funding, resource, training, job, research, Network, Scientist, Teaching, biology, physics, psychology, medicine, mathematics, engineering, Computational, Neuroscience, Computational Neuroscience, Germany,

Proper citation: Bernstein Network Computational Neuroscience Germany (RRID:SCR_007413) Copy   

•   Source: SciCrunch Registry

http://nsr.bioeng.washington.edu/

Database of physiological, pharmacological, and pathological information on humans and other organisms and integration through computational modeling. Models include everything from diagrammatic schema, suggesting relationships among elements composing a system, to fully quantitative, computational models describing the behavior of physiological systems and an organism''s response to environmental change. Each mathematical model is an internally self-consistent summary of available information, and thereby defines a working hypothesis about how a system operates. Predictions from such models are subject to test, with new results leading to new models.BR /> A Tool developed for the NSR Physiome project is JSim, an open source, free software. JSim is a Java-based simulation system for building quantitative numeric models and analyzing them with respect to experimental reference data. JSim''s primary focus is in physiology and biomedicine, however its computational engine is quite general and applicable to a wide range of scientific domains. JSim models may intermix ODEs, PDEs, implicit equations, integrals, summations, discrete events and procedural code as appropriate. JSim''s model compiler can automatically insert conversion factors for compatible physical units as well as detect and reject unit unbalanced equations. JSim also imports the SBML and CellML model archival formats. All JSim models are open source. Goals of the Physiome Project: - To develop and database observations of physiological phenomenon and interpret these in terms of mechanism (a fundamentally reductionist goal). - To integrate experimental information into quantitative descriptions of the functioning of humans and other organisms (modern integrative biology glued together via modeling). - To disseminate experimental data and integrative models for teaching and research. - To foster collaboration amongst investigators worldwide, to speed up the discovery of how biological systems work. - To determine the most effective targets (molecules or systems) for therapy, either pharmaceutic or genomic. - To provide information for the design of tissue-engineered, biocompatible implants.

Proper citation: NSR Physiome Project (RRID:SCR_007379) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.i-mouse.org/

Over recent years, the European Commission has supported an increasing number of functional genomics projects focusing on the use of the laboratory mouse as a model of human disease. (see http://www.prime-eu.org/euromouseiiprojects.htm for a fuller listing of current and recent projects). CASIMIR (Coordination and Sustainability of International Mouse Informatics Resources: http://www.casimir.org.uk) is aimed at recommending standards to allow data sharing and integration between the different projects. CASIMIR spans a number of areas: data representation (in particular the use of shared ontologies), non-semantic, technical issues concerning database compatibility and interoperability, data acquisition, curation and ownership, integration of biological collections and material resources into the data network, and user interactions. As part of the CASIMIR initiative i-mouse.org was created as a common portal to CASIMIR and other resources we hope will be helpful for investigators using the mouse as a model system for humans or systems biologists and geneticists using the mouse as an experimental system. ontology; metadata;

Proper citation: Informatics resources for mouse functional genomics (RRID:SCR_007374) Copy   

•   Source: SciCrunch Registry

http://dblab.duhs.duke.edu/modules/dblabs_topcat/index.php

TOPPCAT stands for T-One weighted Perfusion imaging Parameter CAlculation Toolkit. TOPPCAT creates quantitative maps of Ktrans (volume transfer constant between blood plasma and the extravascular extracellular space) and fPV (fractional plasma volume) from dynamic T1-weighted perfusion images. At the current time, analysis using the method of Patlak plots (most appropriate for first pass dynamic contrast-enhanced MR imaging) is supported. As a preliminary step for the parameter calculation, TOPPCAT also creates maps of T1 and S0 (equilibrium magnetization) from multi-flip angle T1-weighted SPGR (or FLASH) sequences.Daniel P. Barboriak, James R. MacFall, Anthony O. Padua,Gerald E. York, Benjamin L. Viglianti, and Mark W. Dewhirst. Standardized software for calculation of Ktrans and vp from dynamic T1-weighted MR images. Presented at the International Society for Magnetic Resonance in Medicine Workshop on MR in Drug Development: From Discovery to Clinical Therapeutic Trials, McLean VA, April 2004.

Proper citation: T-One weighted Perfusion imaging Parameter CAlculation Toolkit (RRID:SCR_007376) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.neurolens.org/NeuroLens/

An integrated environment for the analysis and visualization of functional neuroimages. It is intended to provide extremely fast and flexible image processing, via an intuitive user interface that encourages experimentation with analysis parameters and detailed inspection of both raw image data and processing results. All processing operations in NeuroLens are built around a Plugin architecture, making it easy to extend its functionality. NeuroLens runs on Apple computers based on the G4, G5, or Intel chipsets and running MacOSX 10.4 (Tiger) or later. It is available free for academic and non-profit research use. * Operating System: MacOS * Programming Language: Objective C * Supported Data Format: AFNI BRIK, ANALYZE, COR, DICOM, MGH/MGZ, MINC, Other Format

Proper citation: NeuroLens (RRID:SCR_007372) 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   

•   Source: SciCrunch Registry

http://www.neuroschools-germany.com

This is an umbrella site for the major neuroscience programs in Germany, including GTTINGEN: MSc/PhD/MD-PHD Neurosciences Program BOCHUM: International Graduate School of Neuroscience TBINGEN: Graduate Training Center of Neuroscience MNCHEN: MSc/PhD Neurosciences Program BERLIN: International Graduate Program Medical Neurosciences, International Graduate Program Computational Neurosciences, Bernstein Center for Computational Neuroscience, Berlin School of Mind and Brain, Helmholtz International Research School Molecular Neurobiology MAGDEBURG: Integrative Neuroscience.

Proper citation: German Graduate Schools of Neuroscience (RRID:SCR_007403) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/fiswidgets/

A set of Java libraries for rapidly creating GUIs for software modules (C, C++, Fortan, PERL scripts, etc.), and graphically controlling process flow among them. This allows a GUI to be created for existing image processing and analysis routines, which provides: 1) graphic elements for setting parameters, arguments, etc. (i.e., text dialogs, file browsers, etc.); 2) links to web based documentation; 3) simple point-and-click interface for setting up a path for data flow from one module to another. The purpose of FisWidgets is to provide an integrated and user-friendly environment for using the disparate and growing array of image processing and analysis tools created by different laboratories.

Proper citation: FisWidgets (RRID:SCR_007367) Copy   

•   Source: SciCrunch Registry

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.mediacy.com/imageproplus

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18,2023. Software package to capture, process, measure, analyze and share images and data.

Proper citation: Image Pro Plus (RRID:SCR_007369) Copy   

•   Source: SciCrunch Registry

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://ncmir.ucsd.edu/downloads/fido.shtm

An interactive, graphic, fiducial marking software for placing, editing and tracking fiducial marks on images in a tomography tilt series. You can also use this tool to view the tilt series as well as crop it.

Proper citation: XFido (RRID:SCR_007365) Copy   

•   Source: SciCrunch Registry

http://jaxmice.jax.org/list/ra1642.html

Produce new neurological mouse models that could serve as experimental models for the exploration of basic neurobiological mechanisms and diseases. The impetus for the program resulted from the recognition that: * The value of genomic data would remain limited unless more information about the functionality of its individual components became available. * The task of linking genes to specific behavior would best be accomplished by employing a combination of different approaches. In an effort to complement already existing programs, the Neuroscience Mutagenesis Facility decided to use: a random, genome-wide approach to mutagenesis, i.e.N-ethyl-N-nitrosourea (ENU) as the mutagen; a three-generation back-cross breeding scheme to focus on the detection of recessive mutations; behavioral screens selective for the detection of phenotypes deemed useful for the program goals. The resulting mutant mouse lines have been available to the scientific community for the last five years and over 700 NMF mice have been sent to interested investigators for research; these mutant mouse lines will remain available as frozen embryos (which can be re-derived on request) and can be ordered through the JAX customer service at 1-800-422-6423 (or 207-288-5845). The results of the work of the Neuroscience Mutagenesis Facility and that of two other neurogenesis centers, i.e. The Neurogenomics Project at Northwestern University, and the Neuromutagenesis Project of the Tennessee Mouse Genome Consortium, can also be seen at Neuromice.org, a common web site of these three research centers; in addition, information about all mutants produced by these groups has been recorded in MGI.

Proper citation: JAX Neuroscience Mutagenesis Facility (RRID:SCR_007437) Copy   

•   Source: SciCrunch Registry

http://ngs.ym.edu.tw/ym500/index.php

An Integrative small RNA Sequencing database for miRNA research and provides an integrative web interface for miRNA quantification, isomiR identification, arm switching discovery, and, most of all, novel miRNA predictions.

Proper citation: YM500 (RRID:SCR_007429) Copy   

•   Source: SciCrunch Registry

http://ekhidna.biocenter.helsinki.fi/sqgraph/pairsdb

This is a web interface for ADDA, an automatic algorithm for domain decomposition and clustering of all protein domain families. We use alignments derived from an all-on-all sequence comparison to define domains within protein sequences based on a global maximum likelihood model. ADDA is downloadable. There are three ways in which you can retrieve a protein sequence and its domains from ADDA. Sequences can be located using sequence identifiers and/or accession numbers, using a identical fragment lookup, or by running BLAST against all sequences in ADDA. ADDA is a protein sequence clustering algorithm. It takes a set of sequences and returns domain families. ADDA has two steps corresponding to the two aspects of the protein sequence clustering domain. First, ADDA splits protein sequences into domains. The idea behind ADDA is in principle the application of Occam''s razor; the goal is to describe the diversity of protein sequences with a minimal set of protein domains. The algorithm behind ADDA approximates this minimal set. In practice ADDA works by looking at where BLAST alignments are located on the sequence and splits the sequences, so that as few as possible alignments are cut by domain boundaries and that as many alignments as possible stretch over complete domains. Secondly, ADDA takes all the domains and then arranges them in a minimum spanning tree, where the similarity between two domains is determined by their relative overlap given a BLAST alignment. Each link in the tree is then checked by a pairwise profile-profile comparison and links below a threshold are removed. The remaining connected components are then taken to represent protein domain families.

Proper citation: ADDA - Automatic Domain Decomposition Algorithm (RRID:SCR_007546) Copy   

•   Source: SciCrunch Registry