Ponořte se důkladně do všech možností Oracle Database 11g a objevte jeho nové funkce a nástroje. Autoři vás mimo jiné naučí dokonale využívat dotazy SQL, příkazy jazyka PL/SQL, pracovat s velkými objekty a objektově-relačními databázemi, implementovat nejnovější bezpečnostní opatření nebo ladit výkon databáze. V referenčních přílohách také naleznete seznamy příkazů, klíčových slov a funkcí.

• MeSH
• Databases as Topic MeSH
• Computer Communication Networks MeSH
• Computer Systems MeSH
• Software MeSH

• Conspectus
• Programové vybavení. Programové prostředky

UNLABELLED: The Plant rDNA database (www.plantrdnadatabase.com) is an open access online resource providing detailed information on numbers, structures and positions of 5S and 18S-5.8S-26S (35S) ribosomal DNA loci. The data have been obtained from >600 publications on plant molecular cytogenetics, mostly based on fluorescent in situ hybridization (FISH). This edition of the database contains information on 1609 species derived from 2839 records, which means an expansion of 55.76 and 94.45%, respectively. It holds the data for angiosperms, gymnosperms, bryophytes and pteridophytes available as of June 2013. Information from publications reporting data for a single rDNA (either 5S or 35S alone) and annotation regarding transcriptional activity of 35S loci now appears in the database. Preliminary analyses suggest greater variability in the number of rDNA loci in gymnosperms than in angiosperms. New applications provide ideograms of the species showing the positions of rDNA loci as well as a visual representation of their genome sizes. We have also introduced other features to boost the usability of the Web interface, such as an application for convenient data export and a new section with rDNA-FISH-related information (mostly detailing protocols and reagents). In addition, we upgraded and/or proofread tabs and links and modified the website for a more dynamic appearance. This manuscript provides a synopsis of these changes and developments. DATABASE URL: http://www.plantrdnadatabase.com.

• MeSH
• Databases, Genetic * MeSH
• DNA, Plant * MeSH
• Internet MeSH
• DNA, Ribosomal * MeSH
• Plants genetics   MeSH
• Database Management Systems * MeSH
• Computational Biology MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

• MeSH
• Evidence-Based Medicine MeSH
• Randomized Controlled Trials as Topic MeSH
• Research MeSH
• Research Design MeSH

• Conspectus
• Lékařské vědy. Lékařství
• NML Fields
• lékařství
• management, organizace a řízení zdravotnictví
• lékařská informatika
• NML Publication type
• elektronické časopisy

Molecular identification of micro- and macroorganisms based on nuclear markers has revolutionized our understanding of their taxonomy, phylogeny and ecology. Today, research on the diversity of eukaryotes in global ecosystems heavily relies on nuclear ribosomal RNA (rRNA) markers. Here, we present the research community-curated reference database EUKARYOME for nuclear ribosomal 18S rRNA, internal transcribed spacer (ITS) and 28S rRNA markers for all eukaryotes, including metazoans (animals), protists, fungi and plants. It is particularly useful for the identification of arbuscular mycorrhizal fungi as it bridges the four commonly used molecular markers-ITS1, ITS2, 18S V4-V5 and 28S D1-D2 subregions. The key benefits of this database over other annotated reference sequence databases are that it is not restricted to certain taxonomic groups and it includes all rRNA markers. EUKARYOME also offers a number of reference long-read sequences that are derived from (meta)genomic and (meta)barcoding-a unique feature that can be used for taxonomic identification and chimera control of third-generation, long-read, high-throughput sequencing data. Taxonomic assignments of rRNA genes in the database are verified based on phylogenetic approaches. The reference datasets are available in multiple formats from the project homepage, http://www.eukaryome.org.

• MeSH
• Databases, Genetic MeSH
• Databases, Nucleic Acid MeSH
• Eukaryota * genetics   MeSH
• Phylogeny MeSH
• Genes, rRNA genetics   MeSH
• RNA, Ribosomal, 18S genetics   MeSH
• Animals MeSH
• Check Tag
• Animals MeSH
• Publication type
• Journal Article MeSH

• MeSH
• Electronic Data Processing MeSH
• Humans MeSH
• Brain Infarction diagnosis   therapy   MeSH
• Nervous System Diseases diagnosis   therapy   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Review MeSH

Secondary data structure of RNA molecules provides insights into the identity and function of RNAs. With RNAs readily sequenced, the question of their structural characterization is increasingly important. However, RNA structure is difficult to acquire. Its experimental identification is extremely technically demanding, while computational prediction is not accurate enough, especially for large structures of long sequences. We address this difficult situation with rPredictorDB, a predictive database of RNA secondary structures that aims to form a middle ground between experimentally identified structures in PDB and predicted consensus secondary structures in Rfam. The database contains individual secondary structures predicted using a tool for template-based prediction of RNA secondary structure for the homologs of the RNA families with at least one homolog with experimentally solved structure. Experimentally identified structures are used as the structural templates and thus the prediction has higher reliability than de novo predictions in Rfam. The sequences are downloaded from public resources. So far rPredictorDB covers 7365 RNAs with their secondary structures. Plots of the secondary structures use the Traveler package for readable display of RNAs with long sequences and complex structures, such as ribosomal RNAs. The RNAs in the output of rPredictorDB are extensively annotated and can be viewed, browsed, searched and downloaded according to taxonomic, sequence and structure data. Additionally, structure of user-provided sequences can be predicted using the templates stored in rPredictorDB.

• MeSH
• Databases, Nucleic Acid * MeSH
• Nucleic Acid Conformation * MeSH
• RNA * chemistry   genetics   MeSH
• Software * MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

• MeSH
• Fluconazole therapeutic use   MeSH
• Immunosuppression Therapy adverse effects   MeSH
• Data Collection MeSH
• Publication type
• Review MeSH

Această lucrare descrie conceptele, metodele şi instrumentele utilizate în proiectarea unui sistem informatic de monitorizare a glaucomului, practic şi având un cost potenţial scăzut, distribuit, cu capabilităţi de acces web (Internet). Experienţa noastră cu sistemele informaţionale existente acum în spitale (eng. Hospital Information System - HIS) a arătat că acestea sunt inadecvate pentru procese clinice cum este şi acela foarte important al monitorizării pacienţilor cu glaucom. Actualele scheme de înregistrare electronică a pacienţilor (eng. Electronic Patient Record - EPR) sunt mai adecvate aspectelor simple de management şi programare a consultaţiilor decât proceselor clinice şi de luare a deciziilor. Într-o relaţie şi mai strânsă cu specificul unei afecţiuni, bazele de date demografice pentru pacienţi, denumite uzual ca sisteme de administrare a pacienţilor (Patient Administration System - PAS), nu au fost proiectate pentru exploatarea partajată sau concurentă de către programe diferite sau chiar replici diferite ale aceluiaşi program. Multe dintre deficienţele timpurii în procesul de urmărire a pacienţilor cu glaucom de către zeci de oftalmologi diferiţi, în cabinete independente din clinici diferite (cu sisteme eterogene de înregistrare a informaţiilor, nu foarte bine administrate prin capabilităţile de birotică), pot fi rezolvate doar prin specificarea, proiectarea şi implementarea unor noi scheme EPR în medii distribuite mixte, bazate pe o bază de date distribuită ca un nucleu demografic (PAS) al pacienţilor cu glaucom. Un asemenea sistem specializat de management al înregistrărilor medicale, cu funcţionalitate centrată pe monitorizarea glaucomului, şi datele din nucleu organizate într-un sistem cu baze de date distribuite, a fost proiectat într-o manieră bottom-up pentru a răspunde unor necesităţi imediate. Implementarea pilot a sa a fost intenţionat menţinută flexibilă şi ţine cont de standardele în dezvoltare cu scopul acomodării oricăror cerinţe viitoare, anticipate. Printre multe alte beneficii, aceste noi scheme EPR permit oftalmologilor vizualizarea şi modificarea informaţiilor despre pacienţi şi a înregistrărilor într-o manieră deopotrivă sigură, flexibilă şi eficientă.

This paper describes, from a practitioner's point of view, the concepts, methods and tools involved in the design of a practical and potentially low cost distributed information system, with web-based capabilities, for monitoring glaucoma. Our experience with existing Hospital Information Systems (HISs) found them unsuitable in the very important monitoring process of patients with glaucoma. Actual Electronic Patient Record (EPR) schemes are more to do with management and appointment simple aspects than with clinical and decision-making processes. In a closer relationship to the specific of the affection, we found that demographic patient databases, usually known as Patient Administration Systems (PASs), have not been designed for being shared or concurrently exploited by different programs or even several replicas of the same program. Many of the early deficiencies in the process of following-up glaucoma patients by dozens of different ophthalmologists in many independent offices from different clinics (with heterogeneous information recording, not very well managed by the existing office capabilities) could only be solved by specifying, designing and implementing a new EPR scheme in a mixed distributed environment, based on a distributed database as a demographic core (or PAS) of patients with glaucoma. A specialized health record management system, with core functionality in monitoring glaucoma, and core data organized as a distributed database system, has been designed in a bottom-up manner to meet the immediate needs. Its pilot implementation was intentionally kept flexible, taking in account developing standards, to accommodate any anticipated future requirements. Among many other benefits, the new EPR allowed medical doctors (ophthalmologists) to view and modify patient information and records in a safe, flexible and efficient manner. Improvements in all the managerial and decisional aspects (regarding costs and time delays) could also be remarked rapidly.

• MeSH
• Medical Records Systems, Computerized standards   trends   MeSH
• Databases as Topic standards   trends   MeSH
• Glaucoma diagnosis   epidemiology   prevention & control   MeSH
• Internet standards   MeSH
• Humans MeSH
• Online Systems standards   MeSH
• Software standards   MeSH
• Information Storage and Retrieval methods   MeSH
• Check Tag
• Humans MeSH

• MeSH
• Cytogenetics MeSH
• Documentation MeSH
• Computers utilization   MeSH

• MeSH
• Program Evaluation MeSH
• Patient Identification Systems MeSH
• Pacemaker, Artificial MeSH