web based
Dotaz
Zobrazit nápovědu
Ústav zdravotnických informací a statistiky ČR produkuje dlouhodobě velké množství hodnotných analýz, reportů a publikací, které jsou zaměřeny na širokou veřejnost, zástupce krajské správy a poskytovatele zdravotní péče. Primárním cílem sdělení je přehledově představit sadu nově implementovaných interaktivních webových portálů, které prezentují klíčové výstupy vybraných projektů a aktivit.
Institute of Health Information and Statistics of the Czech Republic has been producing many valuable analyses, reports and publications, which are focused mainly on the public, regional representatives and healthcare providers. The primary goal of this contribution is to introduce a set of developed and implemented web-based platforms representing key outputs of selected projects and activities under the umbrella of Institute of Health Information and Statistics.
elektronický časopis
- MeSH
- ekonomika a organizace zdravotní péče MeSH
- medicína založená na důkazech MeSH
- poskytování zdravotní péče MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- lékařství
- management, organizace a řízení zdravotnictví
- NLK Publikační typ
- elektronické časopisy
1 CD-ROM + 1 obálka
Biomolecular channels play important roles in many biological systems, e.g. enzymes, ribosomes and ion channels. This article introduces a web-based interactive MOLEonline 2.0 application for the analysis of access/egress paths to interior molecular voids. MOLEonline 2.0 enables platform-independent, easy-to-use and interactive analyses of (bio)macromolecular channels, tunnels and pores. Results are presented in a clear manner, making their interpretation easy. For each channel, MOLEonline displays a 3D graphical representation of the channel, its profile accompanied by a list of lining residues and also its basic physicochemical properties. The users can tune advanced parameters when performing a channel search to direct the search according to their needs. The MOLEonline 2.0 application is freely available via the Internet at http://ncbr.muni.cz/mole or http://mole.upol.cz.
- MeSH
- cytochrom P-450 CYP3A chemie MeSH
- enzymy chemie MeSH
- internet MeSH
- iontové kanály chemie MeSH
- konformace proteinů MeSH
- molekulární modely MeSH
- počítačová grafika MeSH
- ribozomy chemie MeSH
- software MeSH
- uživatelské rozhraní počítače MeSH
- velké podjednotky ribozomu archebakteriální chemie MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
elektronický časopis
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- ošetřovatelství
- NLK Publikační typ
- elektronické časopisy
elektronický časopis
- MeSH
- ekonomika a organizace zdravotní péče MeSH
- medicína založená na důkazech MeSH
- poskytování zdravotní péče MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- lékařství
- management, organizace a řízení zdravotnictví
- NLK Publikační typ
- elektronické časopisy
PURPOSE: Rapid identification and characterization of multidrug-resistant Klebsiella pneumoniae strains is necessary due to the increasing frequency of severe infections in patients. The decreasing cost of next-generation sequencing enables us to obtain a comprehensive overview of genetic information in one step. The aim of this study is to demonstrate and evaluate the utility and scope of the application of web-based databases to next-generation sequenced (NGS) data. METHODOLOGY: The whole genomes of 11 clinical Klebsiella pneumoniae isolates were sequenced using Illumina MiSeq. Selected web-based tools were used to identify a variety of genetic characteristics, such as acquired antimicrobial resistance genes, multilocus sequence types, plasmid replicons, and identify virulence factors, such as virulence genes, cps clusters, urease-nickel clusters and efflux systems. RESULTS: Using web-based tools hosted by the Center for Genomic Epidemiology, we detected resistance to 8 main antimicrobial groups with at least 11 acquired resistance genes. The isolates were divided into eight sequence types (ST11, 23, 37, 323, 433, 495 and 562, and a new one, ST1646). All of the isolates carried replicons of large plasmids. Capsular types, virulence factors and genes coding AcrAB and OqxAB efflux pumps were detected using BIGSdb-Kp, whereas the selected virulence genes, identified in almost all of the isolates, were detected using CLC Genomic Workbench software. CONCLUSION: Applying appropriate web-based online tools to NGS data enables the rapid extraction of comprehensive information that can be used for more efficient diagnosis and treatment of patients, while data processing is free of charge, easy and time-efficient.
- MeSH
- antibakteriální látky farmakologie MeSH
- databáze genetické MeSH
- DNA bakterií genetika MeSH
- genom bakteriální * MeSH
- internet MeSH
- Klebsiella pneumoniae genetika MeSH
- mnohočetná bakteriální léková rezistence genetika MeSH
- multilokusová sekvenční typizace MeSH
- plazmidy MeSH
- sekvence nukleotidů MeSH
- Publikační typ
- časopisecké články MeSH
SUMMARY: We present the cpPredictor webserver that implements a novel template-based method for prediction of secondary structure of RNA. The method outperforms available prediction methods as it uses RNA structures of related molecules, either predicted or experimentally identified, as structural templates. The server aims at three major tasks: i) prediction of RNA secondary structures that are difficult to predict by available methods, ii) characterization of uncharacterized RNAs as compatible or incompatible with a chosen template structure and iii) an identification of the most relevant structure among different candidate structures of a single RNA ambiguously predicted by available methods. The web server is accompanied with a comprehensive documentation. AVAILABILITY AND IMPLEMENTATION: The web server is freely available at http://cppredictor.elixir-czech.cz/. The source code of the cpPredictor algorithm is freely available from the webserver under the Apache License, Version 2.0.
MOLEonline is an interactive, web-based application for the detection and characterization of channels (pores and tunnels) within biomacromolecular structures. The updated version of MOLEonline overcomes limitations of the previous version by incorporating the recently developed LiteMol Viewer visualization engine and providing a simple, fully interactive user experience. The application enables two modes of calculation: one is dedicated to the analysis of channels while the other was specifically designed for transmembrane pores. As the application can use both PDB and mmCIF formats, it can be leveraged to analyze a wide spectrum of biomacromolecular structures, e.g. stemming from NMR, X-ray and cryo-EM techniques. The tool is interconnected with other bioinformatics tools (e.g., PDBe, CSA, ChannelsDB, OPM, UniProt) to help both setup and the analysis of acquired results. MOLEonline provides unprecedented analytics for the detection and structural characterization of channels, as well as information about their numerous physicochemical features. Here we present the application of MOLEonline for structural analyses of α-hemolysin and transient receptor potential mucolipin 1 (TRMP1) pores. The MOLEonline application is freely available via the Internet at https://mole.upol.cz.
