web mapping
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Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424 vol. 101, suppl. 1, April 2004
iii, 5183-5310 s. : il., tab. ; 28 cm
- MeSH
- informační věda MeSH
- internet MeSH
- lékařství MeSH
- operační výzkum MeSH
- sémantika MeSH
- systémová analýza MeSH
- umělá inteligence MeSH
- Publikační typ
- sborníky MeSH
- Konspekt
- Lékařské vědy. Lékařství
- NLK Obory
- lékařství
- knihovnictví, informační věda a muzeologie
The article deals with and discusses two main approaches in building semantic structures for electrophysiological metadata. It is the use of conventional data structures, repositories, and programming languages on one hand and the use of formal representations of ontologies, known from knowledge representation, such as description logics or semantic web languages on the other hand. Although knowledge engineering offers languages supporting richer semantic means of expression and technological advanced approaches, conventional data structures and repositories are still popular among developers, administrators and users because of their simplicity, overall intelligibility, and lower demands on technical equipment. The choice of conventional data resources and repositories, however, raises the question of how and where to add semantics that cannot be naturally expressed using them. As one of the possible solutions, this semantics can be added into the structures of the programming language that accesses and processes the underlying data. To support this idea we introduced a software prototype that enables its users to add semantically richer expressions into a Java object-oriented code. This approach does not burden users with additional demands on programming environment since reflective Java annotations were used as an entry for these expressions. Moreover, additional semantics need not to be written by the programmer directly to the code, but it can be collected from non-programmers using a graphic user interface. The mapping that allows the transformation of the semantically enriched Java code into the Semantic Web language OWL was proposed and implemented in a library named the Semantic Framework. This approach was validated by the integration of the Semantic Framework in the EEG/ERP Portal and by the subsequent registration of the EEG/ERP Portal in the Neuroscience Information Framework.
- Publikační typ
- časopisecké články MeSH
HotSpot Wizard is a web server for automatic identification of 'hot spots' for engineering of substrate specificity, activity or enantioselectivity of enzymes and for annotation of protein structures. The web server implements the protein engineering protocol, which targets evolutionarily variable amino acid positions located in the active site or lining the access tunnels. The 'hot spots' for mutagenesis are selected through the integration of structural, functional and evolutionary information obtained from: (i) the databases RCSB PDB, UniProt, PDBSWS, Catalytic Site Atlas and nr NCBI and (ii) the tools CASTp, CAVER, BLAST, CD-HIT, MUSCLE and Rate4Site. The protein structure and e-mail address are the only obligatory inputs for the calculation. In the output, HotSpot Wizard lists annotated residues ordered by estimated mutability. The results of the analysis are mapped on the enzyme structure and visualized in the web browser using Jmol. The HotSpot Wizard server should be useful for protein engineers interested in exploring the structure of their favourite protein and for the design of mutations in site-directed mutagenesis and focused directed evolution experiments. HotSpot Wizard is available at http://loschmidt.chemi.muni.cz/hotspotwizard/.
- MeSH
- beta-laktamasy chemie MeSH
- glykosidhydrolasy chemie MeSH
- hydrolasy triesterů kyseliny fosforečné chemie MeSH
- hydrolasy chemie MeSH
- internet MeSH
- proteinové inženýrství MeSH
- reprodukovatelnost výsledků MeSH
- software MeSH
- uživatelské rozhraní počítače MeSH
- Publikační typ
- práce podpořená grantem MeSH
BACKGROUND: Next generation sequencing (NGS) technology allows laboratories to investigate virome composition in clinical and environmental samples in a culture-independent way. There is a need for bioinformatic tools capable of parallel processing of virome sequencing data by exactly identical methods: this is especially important in studies of multifactorial diseases, or in parallel comparison of laboratory protocols. RESULTS: We have developed a web-based application allowing direct upload of sequences from multiple virome samples using custom parameters. The samples are then processed in parallel using an identical protocol, and can be easily reanalyzed. The pipeline performs de-novo assembly, taxonomic classification of viruses as well as sample analyses based on user-defined grouping categories. Tables of virus abundance are produced from cross-validation by remapping the sequencing reads to a union of all observed reference viruses. In addition, read sets and reports are created after processing unmapped reads against known human and bacterial ribosome references. Secured interactive results are dynamically plotted with population and diversity charts, clustered heatmaps and a sortable and searchable abundance table. CONCLUSIONS: The Vipie web application is a unique tool for multi-sample metagenomic analysis of viral data, producing searchable hits tables, interactive population maps, alpha diversity measures and clustered heatmaps that are grouped in applicable custom sample categories. Known references such as human genome and bacterial ribosomal genes are optionally removed from unmapped ('dark matter') reads. Secured results are accessible and shareable on modern browsers. Vipie is a freely available web-based tool whose code is open source.
- MeSH
- genetická variace MeSH
- genomika metody MeSH
- internet * MeSH
- lidé MeSH
- mikrobiota genetika MeSH
- software * MeSH
- viry genetika MeSH
- vysoce účinné nukleotidové sekvenování * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Transperineal template prostate biopsies (TTPB) are performed for assessments after unexpected negative transrectal ultrasound biopsies (TRUSB), correlation with imaging findings and during active surveillance. The impact of TTPBs on pathology has not been analysed. The European Network of Uropathology (ENUP) distributed a survey on TTPB, including how specimens were received, processed and analysed. Two hundred forty-four replies were received from 22 countries with TTPBs seen by 68.4% of the responders (n = 167). Biopsies were received in more than 12 pots in 35.2%. The number of cores embedded per cassette varied between 1 (39.5%) and 3 or more (39.5%). Three levels were cut in 48.3%, between 2 and 3 serial sections in 57.2% and unstained spare sections in 45.1%. No statistical difference was observed with TRUSB management. The number of positive cores was always reported and the majority gave extent per core (82.3%), per region (67.1%) and greatest involvement per core (69.4%). Total involvement in the whole series and continuous/discontinuous infiltrates were reported in 42.2 and 45.4%, respectively. The majority (79.4%) reported Gleason score in each site or core, and 59.6% gave an overall score. A minority (28.5%) provided a map or a diagram. For 19%, TTPB had adversely affected laboratory workload with only 27% managing to negotiate extra costs. Most laboratories process samples thoroughly and report TTPB similarly to TRUSB. Although TTPB have caused considerable extra work, it remains uncosted in most centres. Guidance is needed for workload impact and minimum standards of processing if TTPB work continues to increase.
- MeSH
- biopsie metody MeSH
- internet MeSH
- lidé MeSH
- nádory prostaty diagnóza MeSH
- odběr biologického vzorku metody MeSH
- průzkumy a dotazníky MeSH
- výzkumný projekt MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Evropa MeSH
Background: The beginning of the coronavirus disease (COVID-19) epidemic dates back to December 31, 2019, when the first cases were reported in the People's Republic of China. In the Czech Republic, the first three cases of infection with the novel coronavirus were confirmed on March 1, 2020. The joint effort of state authorities and researchers gave rise to a unique team, which combines methodical knowledge of real-world processes with the know-how needed for effective processing, analysis, and online visualization of data. Objective: Due to an urgent need for a tool that presents important reports based on valid data sources, a team of government experts and researchers focused on the design and development of a web app intended to provide a regularly updated overview of COVID-19 epidemiology in the Czech Republic to the general population. Methods: The cross-industry standard process for data mining model was chosen for the complex solution of analytical processing and visualization of data that provides validated information on the COVID-19 epidemic across the Czech Republic. Great emphasis was put on the understanding and a correct implementation of all six steps (business understanding, data understanding, data preparation, modelling, evaluation, and deployment) needed in the process, including the infrastructure of a nationwide information system; the methodological setting of communication channels between all involved stakeholders; and data collection, processing, analysis, validation, and visualization. Results: The web-based overview of the current spread of COVID-19 in the Czech Republic has been developed as an online platform providing a set of outputs in the form of tables, graphs, and maps intended for the general public. On March 12, 2020, the first version of the web portal, containing fourteen overviews divided into five topical sections, was released. The web portal's primary objective is to publish a well-arranged visualization and clear explanation of basic information consisting of the overall numbers of performed tests, confirmed cases of COVID-19, COVID-19-related deaths, the daily and cumulative overviews of people with a positive COVID-19 case, performed tests, location and country of infection of people with a positive COVID-19 case, hospitalizations of patients with COVID-19, and distribution of personal protective equipment. Conclusions: The online interactive overview of the current spread of COVID-19 in the Czech Republic was launched on March 11, 2020, and has immediately become the primary communication channel employed by the health care sector to present the current situation regarding the COVID-19 epidemic. This complex reporting of the COVID-19 epidemic in the Czech Republic also shows an effective way to interconnect knowledge held by various specialists, such as regional and national methodology experts (who report positive cases of the disease on a daily basis), with knowledge held by developers of central registries, analysts, developers of web apps, and leaders in the health care sector.
- Klíčová slova
- webová aplikace,
- MeSH
- analýza dat MeSH
- Betacoronavirus MeSH
- COVID-19 * MeSH
- data mining * MeSH
- epidemie statistika a číselné údaje MeSH
- hlášení nemocí MeSH
- informační systémy * MeSH
- koronavirové infekce * MeSH
- lidé MeSH
- Check Tag
- lidé MeSH
- Geografické názvy
- Česká republika MeSH
- MeSH
- duševní poruchy * MeSH
- halucinogeny * terapeutické užití MeSH
- internet využití MeSH
- kognitivní poruchy * prevence a kontrola MeSH
- kognitivní stárnutí MeSH
- mapování mozku MeSH
- mozek * diagnostické zobrazování fyziologie MeSH
- ústavy pro duševně nemocné MeSH
- výchova dítěte MeSH
- Publikační typ
- novinové články MeSH
- rozhovory MeSH
CD molecules are surface molecules expressed on cells of the immune system that play key roles in immune cell-cell communication and sensing the microenvironment. These molecules are essential markers for the identification and isolation of leukocytes and lymphocyte subsets. Here, we present the results of the first phase of the CD Maps study, mapping the expression of CD1-CD100 (n = 110) on 47 immune cell subsets from blood, thymus, and tonsil using an eight-color standardized EuroFlow approach and quantification of expression. The resulting dataset included median antibody binding capacities (ABCs) and percentage of positivity for all markers on all subsets and was developed into an interactive CD Maps web resource. Using the resource, we examined differentially expressed proteins between granulocyte, monocyte, and dendritic cell subsets, and profiled dynamic expression of markers during thymocyte differentiation, T-cell maturation, and between functionally distinct B-cell subset clusters. The CD Maps resource will serve as a benchmark of antibody reactivities ensuring improved reproducibility of flow cytometry-based research. Moreover, it will provide a full picture of the surfaceome of human immune cells and serves as a useful platform to increase our understanding of leukocyte biology, as well as to facilitate the identification of new biomarkers and therapeutic targets of immunological and hematological diseases.
- MeSH
- B-lymfocyty imunologie metabolismus MeSH
- CD antigeny biosyntéza MeSH
- datové soubory jako téma MeSH
- dendritické buňky imunologie metabolismus MeSH
- dítě MeSH
- dospělí MeSH
- granulocyty imunologie metabolismus MeSH
- imunofenotypizace MeSH
- internet MeSH
- leukocyty imunologie metabolismus MeSH
- lidé MeSH
- lymfopoéza MeSH
- monocyty imunologie metabolismus MeSH
- peptidové mapování MeSH
- podskupiny lymfocytů imunologie metabolismus MeSH
- předškolní dítě MeSH
- průtoková cytometrie MeSH
- reprodukovatelnost výsledků MeSH
- separace buněk MeSH
- T-lymfocyty imunologie metabolismus MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé MeSH
- předškolní dítě MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
elektronický časopis
- Konspekt
- Obecná genetika. Obecná cytogenetika. Evoluce
- NLK Obory
- biologie
- genetika, lékařská genetika
- NLK Publikační typ
- elektronické časopisy