We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
With Trajectory Directed Ensemble Sampling (TraDES) create large ensembles of high-quality protein structures quickly, ranging from near-native to partially unfolded to intrinsically unfolded. TraDES is a system for directly controlling and sampling protein conformational space. TraDES has been previously used for measuring the vastness of protein conformational space and testing the hypothesis of a brute force solution to the protein folding problem. Over 10 Billion protein structures have been produced by TraDES software in previous distributed computing experiments. The package is comprised of binary executable programs and accessory programs and scripts as well as protein structure data files that map out protein conformational space in a probabilistic way. The main programs are: * trades - generates protein structures following the Trajectory Distribution (see below) * seq2trj - makes Trajectory Distributions from sequences for sampling * str2tr - makes Trajectory Distributions from 3D structures for sampling Trajectory Distributions - Controlling the Sampling of Conformational Space The concept of the trajectory distribution may be new to many protein scientists. A trajectory distribution is simply a map of available conformational space at an amino acid residue. NMR scientists are the primary users of the TraDES package.
Database of histopathology photomicrographs and macroscopic images derived from mutant or genetically manipulated mice. The database currently holds more than 1000 images of lesions from mutant mice and their inbred backgrounds and further images are being added continuously. Images can be retrieved by searching for specific lesions or class of lesion, by genetic locus, or by a wide set of parameters shown on the Advanced Search Interface. Its two key aims are: * To provide a searchable database of histopathology images derived from experimental manipulation of the mouse genome or experiments conducted on genetically manipulated mice. * A reference / didactic resource covering all aspects of mouse pathology Lesions are described according to the Pathbase pathology ontology developed by the Pathbase European Consortium, and are available at the site or on the Gene Ontology Consortium site - OBO. As this is a community resource, they encourage everyone to upload their own images, contribute comments to images and send them their feedback. Please feel free to use any of the SOAP/WSDL web services. (under development)
An Antibody supplier who also provides assay services and products.
A multiplatform, highly modular image processing and visualization application which is under development by the Center for Interdisciplinary Brain Sciences Research. The goal of this project is provide a framework application for neuroimaging which facilitates the interchange of software tools developed by researchers. BrainImageJava can: * Delineate ROIs in slices along X, Y, or Z axes, with 3D feedback in the other axes. * Create and display triangular mesh surfaces from MRI volumes. * Draw Surfaces-of-Interest (SOIs) in 3D, and edit them in a planar display. * Set Talairach grid on a volume, export an AC/PC stack, and measure the values within each grid unit. This 3D image processing and analysis program for the Apple Macintosh PowerPC is based on the public domain application, NIH Image. It includes interactive procedures for 3D MRI quantification including semi-automated procedures for removing non-brain tissues from images, fuzzy segmentation of tissue compartments, global or local parcellation (based on the Talairach atlas), region-growing, etc. The last version of the software included multiplatform capability, volume visualization and advanced image analysis tools.
Video library of curated educational videos, many of which represent collaborations between talented educators and animators nominated through the TED-Ed platform. This platform also allows users to take any useful educational video, not just TED''s, and easily create a customized lesson around the video. Users can distribute the lessons, publicly or privately, and track their impact on the world, a class, or an individual student. TED-Ed''s videos aim to capture and amplify the voices of the world''s greatest educators.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 7, 2022. Federation of International Mouse Resources (FIMRe) is a collaborating group of Mouse Repository and Resource Centers worldwide whose collective goal is to archive and provide strains of mice as cryopreserved embryos and gametes, ES cell lines, and live breeding stock to the research community. Goals of the Federation of International Mouse Resources: * Coordinate repositories and resource centers to: ** archive valuable genetically defined mice and ES cell lines being created worldwide ** meet research demand for these genetically defined mice and ES cell lines * Establish consistent, highest quality animal health standards in all resource centers * Provide genetic verification and quality control for genetic background and mutations * Provide resource training to enhance user ability to utilize cryopreserved resources
Non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. Users may browse by strain, gene, phenotype, or human disease. Its primary objective is to establish and manage a unified repository for maintaining medically relevant mouse mutants and making them available to the scientific community. Therefore, EMMA archives mutant strains and distributes them to requesting researchers. EMMA also hosts courses in cryopreservation, to promote the use and dissemination of frozen embryos and spermatozoa. Dissemination of knowledge is further fostered by a dedicated resource database. Anybody who wants their mutant mouse strains cryopreserved may deposit strains with EMMA. However depositors must be aware that these strains become freely available to other researchers after being deposited.With more than 8400 mutant mouse strains and asmall but increasing number of rat mutant strains available, EMMA is the primary mouse repository in Europe and the third largest non-profit repository worldwide.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It predicts nuclear-encoded mitochondrial proteins from all eukaryotic species including plants. Prediction is based on the occurrence patterns of Pfam domains (version 16.0) in different cellular locations, amino acid composition and pI value differences between mitochondrial and non-mitochondrial locations. Additionally, you may download MITOPRED predictions for complete proteomes. Re-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. The Mitopred algorithm works based on the differences in the Pfam domain occurrence patters and amino acid composition differences in different cellular compartments. Location specific Pfam domains have been determined from the entire eukaryotic set of Swissprot database. Similarly, differences in the amino acid composition between mitochondrial and non-mitochondrial sequences were pre-calculated. This information is used to calculate location-specific amino acid weights that are used to calculate amino acid score. Similarly, pI average values of the N-terminal 25 residues in different cellular location were also determined. This knowledge-base is accessed by the program during execution.
Biomedical technology research center that develops new technologies for modeling cell biological processes. The technologies are integrated through Virtual Cell, a problem-solving environment built on a central database and disseminated as a Web application for the analysis, modeling and simulation of cell biological processes. NRCAM resides at the Center for Cell Analysis and Modeling, CCAM, and provides a vast array of laboratory equipment that can be used for obtaining experimental data needed to create and enhance Virtual Cell models. Microscopy instrumentation includes three confocal laser scanning microscopes including UV excitation, nonlinear optical microscopy utilizing a titanium sapphire pulsed laser, confocal-based fluorescence correlation spectroscopy, wide-field imaging workstation with cooled CCD and rapid excitation filter wheel, and dual-wavelength spectrofluorometer. Access to the facilities and technical staff is open to all researchers., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
The CREATE consortium represents a core of major European and international mouse database holders and research groups involved in conditional mutagenesis, primarily to develop a strategy for the integration and dissemination of Cre driver strains for modelling aspects of complex human diseases in the mouse. Collectively the participants have amassed a significant number of these strains in their respective databases. Therefore one of the goals of CREATE is to provide a unified portal for worldwide access to these critical resources. The portal can either be searched through an advanced BioMart interface, by driver name, or by anatomical site of expression using Embryonic Mouse Anatomy Project (EMAP) and Mouse Anatomy (MA) ontology terms. Search results link back to the original source of the data for more detailed information and to IMSR to order mice if available. The ontology browser is particularly useful as it enables the CREATE consortium to identify cell and tissues that are not currently covered by existing lines. CREATE also aims to coordinate the production of suitable lines by the Cre generation projects described above. Through the CREATE portal, the CREATE consortium aims to develop a strategy for the production, integration and dissemination of new Cre driver strains for modelling aspects of complex human diseases in the mouse. CREATE is also developing a roadmap for harnessing emerging technologies and methods for improving Cre-mediated recombination in vivo through targeted, intensive workshops and discussion forums on the portal. This will entail review of construct design options for classical transgenic constructs (promoter/enhancer used, small size <2025 Kb) vs large transgenic constructs (BAC, P1, YAC etc.); methods used for Cre transgenic lines including random vs targeted integration, position independent expression loci, or replacement of endogenous coding sequences with Cre recombinase under the control of the endogenous locus. CREATE provides a platform for discussion of additional issues specific to inducible Cre strategies including background activity before induction, inducibility (kinetics), efficiency, and protocols used for induction of Cre recombinase activity. Additional components of the technology roadmap will be the cataloguing of other existing methodologies (rtTA, FLP, Dre) of mouse genome modification, sharing information on validated Cre mutant lines as well as identification and assessment of new methods of mutagenesis such as RNAi and other emerging technologies. Other discussion topics addressed through surveys on the CREATE portal include the characterization of Cre lines (specificity of expression/deletion; efficiency of expression/ deletion; reproducibility of deletion from animal to animal for the same floxed allele; reproducibility with different floxed alleles; timing of expression/deletion, etc.), the extent to which Cre expression changes upon backcrossing to specific genetic backgrounds through variegation and silencing; potential phenotypes caused by either integration- mediated mutagenesis or Cre ''toxicity''; and other factors affecting the specificity of Cre-mediated expression/deletion. CREATE regularly integrates common fields from the Cre-X, CreZOO and the MGI recombinase portal resources described below. The data in common consists of: * Transgene or Knock-in name. * MGI ID of allele. * Driver. * Anatomical site of expression. * Pubmed ID. * IMSR strain name and link. * Inducibility (YES/NO).
The CreZOO database is the European virtual repository of Cre and other targeted conditional driver strains. CreZOO is being developed in the context of the CREATE consortium, a core of major European and international mouse database holders and research groups involved in conditional mutagenesis. Its aim is to capture and disseminate extant and new information on Cre driver strains. CreZOO also aims to contribute data to the CREATE portal for worldwide access of related information. All transgenic strains carry detailed information on the promoter, specificity (using Adult Mouse Anatomy terms and Theiler Stages) and expressed gene(s) including IDs and direct links where available. Allele details are also presented, in addition to strain, background and availability (in the form of live mice, cryopreserved embryos or sperm etc) information (including EMMA, MGI, MMRRC etc hyperlinks where available). Handling and genotyping details (in the form of documents or hyperlinks) together with all relevant publications are clearly presented with PMID(s) and direct PubMed links.
A labeled three-dimensional atlas of the human brain created from MRI images. In conjunction are presented anatomically labeled stained sections that correspond to the three-dimensional MRI images. The stained sections are from a different brain than the one which was scanned for the MRI images. Also available the major anatomical features of the human hypothalamus, axial sections stained for cell bodies or for nerve fibers, at six rostro-caudal levels of the human brain stem; images and Quicktime movies. The MRI subject was a 22-year-old adult male. Differing techniques used to study the anatomy of the human brain all have their advantages and disadvantages. Magnetic resonance imaging (MRI) allows for the three-dimensional viewing of the brain and structures, precise spatial relationships and some differentiation between types of tissue, however, the image resolution is somewhat limited. Stained sections, on the other hand, offer excellent resolution and the ability to see individual nuclei (cell stain) or fiber tracts (myelin stain), however, there are often spatial distortions inherent in the staining process. The nomenclature used is from Paxinos G, and Watson C. 1998. The Rat Brain in Stereotaxic Coordinates, 4th ed. Academic Press. San Diego, CA. 256 pp
Curated database of experimentally supported data of RNA Splicing mutation and disease. The RNA Splicing mutations include cis-acting mutations that disrupt splicing and trans-acting mutations that affecting RNA-dependent functions that cause disease. Information such as EntrezGeneID, gene genomic sequence, mutation (nucleotide substitutions, deletions and insertions), mutation location within the gene, organism, detailed description of the splicing mutation and references are also given. Users are able to submit new entries to the database. This database integrating RNA splicing and disease associations would be helpful for understanding not only the RNA splicing but also its contribution to disease. In SpliceDisease database, they manually curated 2337 splicing mutation disease entries involving 303 genes and 370 diseases, which have been supported experimentally in 898 publications. The SpliceDisease database provides information including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference PubMed ID and detailed description for the relationship among gene mutations, splicing defects and diseases. They standardized the names of the diseases and genes and provided links for these genes to NCBI and UCSC genome browser for further annotation and genomic sequences. For the location of the mutation, they give direct links of the entry to the respective position/region in the genome browser.
Science 2.0 is a blog created in 2006 to modernize science communication, publishing, collaboration and public participation. In creating Science 2.0 we set out to accomplish the following: * Create a place where world-class scientists write articles and discuss issues without being filtered by size or editorial limitations, where there are no political or cultural agendas, and the audience can read great science directly from the sources and maybe learn some new things. * Create an infrastructure where actual collaboration can occur using customized tools. * Create an open publishing model. The old model of subscriptions is no longer viable, since government has taken control of academic research - taxpayers have paid for the research so they should be allowed to read it without paying. Open access, where the cost burden is shifted to scientists instead, is a good first step but Science 2.0 embraces a true open publishing model, where readers do not have to pay to read and scientists do not have to pay to publish. * Encourage increased participation in the science endeavor by those outside science. SETI (at)home, GalaxyZoo, Fold.it and other tools show the public will help if the tools are there. See The FAQ for more information written by our community moderators. * Science 2.0, Scientific Blogging and The world''s best scientists, the Internet''s smartest readers are registered trademarks of ION Publications LLC.
The UMD-BRCA1/BRCA2 databases have been set up in a joined national effort through the network of 16 diagnostic laboratories to provide up-to-date information about mutations of the BRCA1 and BRCA2 genes identified in patients with breast and/or ovarian cancer. These databases currently contain published and unpublished information about the BRCA1/BRCA2 mutations reported in French diagnostic laboratories. This database includes 28 references and 5530 mutations (1440 different mutations and 786 protein variants) The databases of BRCA1 and BRCA2 mutations were built using the Universal Mutation Database tool. For each mutation, information is provided at several levels: * at the gene level: exon and codon number, wild type and mutant codon, mutation event, mutation name and, * at the protein level: wild type and mutant amino acid, binding domain, affected domain. If you want to submit a mutation, please contact R. Lidereau., S. Caputo. or E. Rouleau.
Original NMR (nuclear magnetic resonance) data as collected for over 2500 protein and nucleic acid structures with corresponding PDB entries. In addition to the original restraints, most of the distance, dihedral angle and RDC restraint data (>85%) were parsed, and those in over 500 entries were converted and filtered. The converted and filtered data sets constitute the Database Of Converted Restraints (DOCR) and the Filtered Restraints Database (FRED) respectively as described in the references. There are 9,672,968 parsed constraints in 7159 entries. (Mar. 2013)
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017.<br/><br/>Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments.
Wiki investigating human genetics including information about the effects of variations in DNA, citing peer-reviewed scientific publications. It is used by Promethease to analyze and help explain your DNA. It is based on a wiki model in order to foster communication about genetic variation and to allow interested community members to help it evolve to become ever more relevant. As the cost of genotyping (and especially of fully determining your own genomic sequence) continues to drop, we''''ll all want to know more - a lot more - about the meaning of these DNA variations and SNPedia will be here to help. SNPedia has been launched to help realize the potential of the Human Genome Project to connect to our daily lives and well-being. For more information see the Wikipedia page, http://en.wikipedia.org/wiki/SNPedia * Download URL: http://www.SNPedia.com/index.php/Bulk * Web Service URL: http://bots.SNPedia.com/api.php
An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.
A tool to bridge the gap between tabular formats and linked data by transforming data tables to RDF datasets, it is able to process spreadsheets, csv files, but also other tabular formats: statistical oriented ones (PC-Axis), analysis tool formats, shapefiles (GIS) and so on. The aim is to provide means to discover and to surface the data structures hidden in tables, and to enable users to combine data over and above the limits of files and formats. By transforming data tables to RDF datasets, the information integration achieves a new dimension. Raw data transcends into a world of linked resources brimming with enrichment and entity reconciliation opportunities. Tabels is not a mere transformation tool, but it facilitates end-user exploitation of data by supplying front-end interactive mechanisms. Moreover, Tabels offers the possibility to disambiguate terms extracted from the input files against online datasets such as DBPedia, publishing and relating information from offline sources to the Linked Data cloud. Furthermore, the RDF datasets generated by Tabels can be extended or manipulated by means of declarative directives (based on the Jena rules engine and the SPARQL 1.1 interface). Tabels is more than a transformation tool and it is geared with data-sensitive front-end widgets to facilitate end users the exploitation and exploration of data: namely, chart views, faceted views, interactive charts and maps and sparql endpoint.