The TREAT-NMD DMD Global Database: Analysis of More than 7,000 Duchenne Muscular Dystrophy Mutations.

Analyzing the type and frequency of patient-specific mutations that give rise to Duchenne muscular dystrophy (DMD) is an invaluable tool for diagnostics, basic scientific research, trial planning, and improved clinical care. Locus-specific databases allow for the collection, organization, storage, and analysis of genetic variants of disease. Here, we describe the development and analysis of the TREAT-NMD DMD Global database (http://umd.be/TREAT_DMD/). We analyzed genetic data for 7,149 DMD mutations held within the database. A total of 5,682 large mutations were observed (80% of total mutations), of which 4,894 (86%) were deletions (1 exon or larger) and 784 (14%) were duplications (1 exon or larger). There were 1,445 small mutations (smaller than 1 exon, 20% of all mutations), of which 358 (25%) were small deletions and 132 (9%) small insertions and 199 (14%) affected the splice sites. Point mutations totalled 756 (52% of small mutations) with 726 (50%) nonsense mutations and 30 (2%) missense mutations. Finally, 22 (0.3%) mid-intronic mutations were observed. In addition, mutations were identified within the database that would potentially benefit from novel genetic therapies for DMD including stop codon read-through therapies (10% of total mutations) and exon skipping therapy (80% of deletions and 55% of total mutations).

Improving reporting management with relational database management system

Data management consists of collecting, storing, and processing the data into the format which provides value-adding information for decision-making process. The development of data management has enabled of designing increasingly effective database management systems to support business needs. Therefore as well as advanced systems are designed for reporting purposes, also operational systems allow reporting and data analyzing. The used research method in the theory part is qualitative research and the research type in the empirical part is case study. Objective of this paper is to examine database management system requirements from reporting managements and data managements perspectives. In the theory part these requirements are identified and the appropriateness of the relational data model is evaluated. In addition key performance indicators applied to the operational monitoring of production are studied. The study has revealed that the appropriate operational key performance indicators of production takes into account time, quality, flexibility and cost aspects. Especially manufacturing efficiency has been highlighted. In this paper, reporting management is defined as a continuous monitoring of given performance measures. According to the literature review, the data management tool should cover performance, usability, reliability, scalability, and data privacy aspects in order to fulfill reporting managements demands. A framework is created for the system development phase based on requirements, and is used in the empirical part of the thesis where such a system is designed and created for reporting management purposes for a company which operates in the manufacturing industry. Relational data modeling and database architectures are utilized when the system is built for relational database platform.

The 19th Century Tombstone Database Project Records, 1790-1890 (non-inclusive)

The 19th Century Tombstone Database project was funded by the program Federal Summer Youth Employment scheme in the summer of 1982 and led by Dr. David W. Rupp, a Professor at the Classics Department, Brock University. The main goal of the project was to collect information related to various cemeteries in Niagara region and burials that took place from 1790-1890. Data was collected and presented in the form of data summary forms of persons, tombstone sketches, photographs of tombstones, maps, and computer printouts. The materials created as a result of a research completed for the 19th Century Tombstone Database project are important as a number of the tombstones have been damaged or gone missing since the research was finished. Before Dr. Rupp retired from Brock University, he donated project materials to the Brock University Special Collections and Archives.

Is Library Database Searching a Language Learning Activity?

A qualitative research study that asked international students how they thought of words to enter into a library database to see if language learning was also involved.

Building a Canadian Virtual Health Library Database / Création de la Bibliothèque virtuelle canadienne de santé

Introduction: Avec l’abondance d’information gratuite disponible en ligne, la tâche de trouver, de trier et d’acheminer de l’information pertinente à l’auditoire approprié peut s’avérer laborieuse. En décembre 2010, la Bibliothèque virtuelle canadienne de santé / Canadian Virtual Health Library (BVCS) a formé un comité d’experts afin d’identifier, d’évaluer, de sélectionner et d’organiser des ressources d’intérêt pour les professionnels de la santé. Méthodes: Cette affiche identifiera les décisions techniques du comité d’experts, incluant le système de gestion de contenus retenu, l’utilisation des éléments Dublin Core et des descripteurs Medical Subject Headings pour la description des ressources, et le développement et l’adaptation de taxonomies à partir de la classification MeSH. La traduction française des descripteurs MeSH à l’aide du portail CISMeF sera également abordée. Résultats: Au mois de mai 2011, le comité a lancé la base de données BVCS de ressources en ligne gratuites sur la santé, regroupant plus de 1600 sites web et ressources. Une variété de types de contenus sont représentés, incluant des articles et rapports, des bases de données interactives et des outils de pratique clinique. Discussion: Les bénéfices et défis d’une collaboration pancanadienne virtuelle seront présentés, ainsi que l’inclusion cruciale d’un membre francophone pour composer avec la nature bilingue de la base de données. En lien avec cet aspect du projet, l’affiche sera présentée en français et en anglais. Introduction: With the abundance of freely available online information, the task of finding, filtering and fitting relevant information to the appropriate audience, is daunting. In December 2010 the Canadian Virtual Health Library / Bibliothèque virtuelle canadienne de santé (CVHL) formed an expert committee to identify, evaluate, select and organize resources relevant to health professionals. Methods: This poster will identify the key technical decisions of the expert committee including the content management system used to manage the data, the use of Dublin Core elements and Medical Subject Headings to describe the resources, and the development and adaptation of taxonomies from MeSH classification to catalog resources. The translation of MeSH terms to French using the CiSMeF portal will also be discussed. Results: In May 2010, the committee launched the CVHL database of free web-based health resources. Content ranged from online articles and reports to videos, interactive databases and clinical practice tools, and included more than 1,600 websites and resources. Discussion: The benefits and challenges of a virtual, pan-Canadian collaboration, and the critical inclusion of a Francophone member to address the bilingual nature of the database, will be presented. In keeping with the nature of the project, the poster will be presented in French and English.

The Hygiene Hypothesis and the risk of Crohn’s disease : a case-control study utilizing prospectively-collected exposure data from an administrative database

La maladie de Crohn (MC) pédiatrique a des conséquences majeures sur la qualité de vie des patients atteints (troubles de croissance, absentéisme scolaire, etc). L’étiologie de la MC est inconnue. La théorie de l’hygiène (TH) stipule que les conditions de vie sanitaires des pays industrialisés préviennent l’exposition antigénique et empêchent le développement de la tolérance immunitaire chez les enfants. Ceci mènerait à une réaction excessive du système immunitaire lors d’expositions subséquentes et engendrerait le développement de maladies inflammatoires chroniques telles la MC. Objectif: Analyser l’association entre la fréquence, la temporalité et le type d’infections infantiles (indicateurs d’environnements pourvus d’antigènes) et le risque de MC pédiatrique. Une étude cas-témoin fût réalisée, les cas de MC provenant d’un centre hospitalier tertiaire montréalais. Les témoins, provenant des registres de la Régie d’assurance maladie du Québec (RAMQ), furent appariés aux cas selon leur âge, sexe et lieu de résidence. L’exposition aux infections fût déterminée grâce aux codes de diagnostic ICD-9 inscrits dans la base de données de la RAMQ. Un modèle de régression logistique conditionnelle fût construit afin d’analyser l’association entre infections et MC. Des ratios de cotes (RC) et intervalles de confiance à 95% (IC 95%) furent calculés. Résultats: 409 cas et 1621 témoins furent recrutés. Les résultats de l’analyse suggèrent un effet protecteur des infections infantiles sur le risque de MC (RC: 0,67 [IC: 0,48-0,93], p=0,018), plus particulièrement au cours des 5 premières années de vie (RC: 0.74 [IC: 0,57-0,96], p=0,025). Les infections rénales et urinaires, ainsi que les infections des voies orales et du système nerveux central (virale), semblent particulièrement associées à l’effet protecteur. Les résultats de l’étude appuient la théorie de l’hygiène: l’exposition aux infections infantiles pourrait réduire le risque de MC pédiatrique.

Detection of Flock Movement in Spatio-Temporal Database using Clustering Techniques - an Experience

In this paper, moving flock patterns are mined from spatio- temporal datasets by incorporating a clustering algorithm. A flock is defined as the set of data that move together for a certain continuous amount of time. Finding out moving flock patterns using clustering algorithms is a potential method to find out frequent patterns of movement in large trajectory datasets. In this approach, SPatial clusteRing algoRithm thrOugh sWarm intelligence (SPARROW) is the clustering algorithm used. The advantage of using SPARROW algorithm is that it can effectively discover clusters of widely varying sizes and shapes from large databases. Variations of the proposed method are addressed and also the experimental results show that the problem of scalability and duplicate pattern formation is addressed. This method also reduces the number of patterns produced

Rapid and Proactive Approach on Exploration of Database Vulnerabilities

In today's complicated computing environment, managing data has become the primary concern of all industries. Information security is the greatest challenge and it has become essential to secure the enterprise system resources like the databases and the operating systems from the attacks of the unknown outsiders. Our approach plays a major role in detecting and managing vulnerabilities in complex computing systems. It allows enterprises to assess two primary tiers through a single interface as a vulnerability scanner tool which provides a secure system which is also compatible with the security compliance of the industry. It provides an overall view of the vulnerabilities in the database, by automatically scanning them with minimum overhead. It gives a detailed view of the risks involved and their corresponding ratings. Based on these priorities, an appropriate mitigation process can be implemented to ensure a secured system. The results show that our approach could effectively optimize the time and cost involved when compared to the existing systems

Interface issues in the ESCHER visual database editor

Presentation at the 1997 Dagstuhl Seminar "Evaluation of Multimedia Information Retrieval", Norbert Fuhr, Keith van Rijsbergen, Alan F. Smeaton (eds.), Dagstuhl Seminar Report 175, 14.04. - 18.04.97 (9716). - Abstract: This presentation will introduce ESCHER, a database editor which supports visualization in non-standard applications in engineering, science, tourism and the entertainment industry. It was originally based on the extended nested relational data model and is currently extended to include object-relational properties like inheritance, object types, integrity constraints and methods. It serves as a research platform into areas such as multimedia and visual information systems, QBE-like queries, computer-supported concurrent work (CSCW) and novel storage techniques. In its role as a Visual Information System, a database editor must support browsing and navigation. ESCHER provides this access to data by means of so called fingers. They generalize the cursor paradigm in graphical and text editors. On the graphical display, a finger is reflected by a colored area which corresponds to the object a finger is currently pointing at. In a table more than one finger may point to objects, one of which is the active finger and is used for navigating through the table. The talk will mostly concentrate on giving examples for this type of navigation and will discuss some of the architectural needs for fast object traversal and display. ESCHER is available as public domain software from our ftp site in Kassel. The portable C source can be easily compiled for any machine running UNIX and OSF/Motif, in particular our working environments IBM RS/6000 and Intel-based LINUX systems. A porting to Tcl/Tk is under way.

Keyword Join: Realizing Keyword Search in P2P-based Database Systems

In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies.

Database lectures Part 3

More on SQL

Database lectures Part 4

Normalisation, BCNF and third normal form.