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Databases, websites, and the Internet.

By the end of the year 2000, an estimated 100 to 500 million computers may be linked to the Internet, representing an enormous level of information exchange. Even today, a broad Internet search of a term such as "breast cancer" can produce an overwhelming list of web pages, most of which will not be of interest to the typical Internet user. A more sophisticated user such as the oncology professional will more likely refine the search by adding other terms, producing a more manageable and useful list of websites. Information on cancer can be readily accessed from thousands of websites developed by the government, medical organizations, other institutions, medical journals, patient support groups, and pharmaceutical companies, as well as through medical web directories. The Cancer Information Network (CIN), an independent website geared to the oncology community, provides access to Medline, PDQ, and hundreds of cancer-related resources on the World Wide Web. CIN also offers the complete NCCN conference proceedings and practice guidelines; full text of several medical journals, textbooks, and handbooks; a daily oncology news service; a clinically oriented drug reference guide; and an extensive calendar of medical meetings and CME courses.

Databases as Topic

A network of web multimedia medical information servers for a medical school and university hospital.

Modern medicine requires a rapid access to information including clinical data from medical records, bibliographic databases, knowledge bases and nomenclature databases. This is especially true for University Hospitals and Medical Schools for training as well as for fundamental and clinical research for diagnosis and therapeutic purposes. This implies the development of local, national and international cooperation which can be enhanced via the use and access to computer networks such as Internet. The development of professional cooperative networks goes with the development of the telecommunication and computer networks and our project is to make these new tools and technologies accessible to the medical students both during the teaching time in Medical School and during the training periods at the University Hospital. We have developed a local area network which communicates between the School of Medicine and the Hospital which takes advantage of the new Web client-server technology both internally (Intranet) and externally by access to the National Research Network (RENATER in France) connected to the Internet network. The address of our public web server is http:(/)/www.med.univ-rennesl.fr.

Artificial Intelligence

Visual Health Information Profile (VHIP). A quantitative approach for analysing the health status of a population.

A new approach for illustrating and analysing the health status of a given population is presented. The concept takes the multi-dimensional nature of health into account. It is based on a clearly out-lined indicator hierarchy, a decile reference system and a computerised information system. The instrument displays the health status of a population and allows comparisons to be made of various health aspects for a given population at different times and allows comparisons to be made of different populations during given time periods. It is possible to represent quantitative and qualitative aspects of health, to monitor the impact of interventions, and to assess the extent to which objectives in the health field have been achieved. Therefore, it can serve as an instrument for communication between policy makers and scientists to manage and to co-ordinate programs that aim at an improvement of the health status and to assist in the priority setting process. The method was applied to several countries using the World Health Organisation's (WHO) "Health For All Global Indicator Database" as the main data source. Country and region specific health status patterns could be generated showing the practicability of the approach. Using a computerised information system, a high degree of transparency and flexibility with respect to the input data and the choices of measurables was achieved.

Computer Graphics

List update processing (LUP)--solving the sequence database update problem.

Sequence databases of today require frequent updating. Mirror procedures to copy incrementally updated databases as cumulative sets are the preferred method and can be implemented by straightforward scripting. However, limited bandwidth of networks and the increase of data require more powerful paradigms to reduce the workload reliably. We suggest the List Update Processing (LUP) principle. The system has been implemented on an experimental basis to update the Swiss EMBnet Node (BioComputing Basel, CH) with data from the European Bioinformatics Institute (EMBL Outstation, Hinxton Hall, UK). The results obtained from the prototype suggest to expand the system to several sites.

CD-ROM

Ubiquitous distributed objects with CORBA.

Database interoperation is becoming a bottleneck for the research community in biology. In this paper, we first discuss the question of interoperability and give a brief overview of CORBA. Then, an example is explained in some detail: a simple but realistic data bank of STSs is implemented. The Object Request Broker is the media for communication between an object server (the data bank) and a client (possibly a genome center). Since CORBA enables easy development of networked applications, we meant this paper to provide an incentive for the bioinformatics community to develop distributed objects.

Base Sequence

An approach to detection of protein structural motifs using an encoding scheme of backbone conformations.

This paper presents an approach to detection of protein structural motifs. In our approach, first all protein backbone conformations are converted into character strings using an encoding scheme. Then we use the Smith-Waterman local alignment algorithm to detect common structural motifs. By comparing results with the PROSITE regular expression patterns, our method can detect several motifs which the PROSITE patterns fail to detect.

Amino Acid Sequence

Using the radial distributions of physical features to compare amino acid environments and align amino acid sequences.

We have performed a comprehensive analysis of the microenvironments surrounding the twenty amino acids. Our analysis includes comparison of amino acid environments with random control environments as well as with each of the other amino acid environments. We describe the amino acid environments with a set of 21 features summarizing atomic, chemical group, residue, and secondary structural features. The environments are divided into radial shells of 1 A thickness to represent the distance of the features from the amino acid C beta atoms. We make the results of our analysis available graphically over the world wide web. To illustrate the validity and utility of our analysis, we used the amino acid comparative profiles to construct a substitution matrix, the WAC matrix, based on a simple summary of the computed environmental differences. We compared our matrix to BLOSUM62 and PAM250 in BLAST searches with query sequences selected from 39 protein families found in the PROSITE database. Although BLOSUM62 was the most sensitive matrix overall, our matrix was more sensitive for some families, and exhibited overall performance similar to PAM250. Our results suggest that the radial distribution of biochemical and biophysical features is useful for comparing amino acid environments, and that similarity matrices based on the geometric distribution of features around amino acids may produce improved search sensitivity.

Amino Acid Sequence

"Virtual" clinical trials: case control experiments utilizing a health services research workstation.

We created an interface to a growing repository of clinical and administrative information to facilitate the design and execution of case-control experiments. The system enables knowledgeable users to generate and test hypotheses regarding associations among diseases and outcomes. The intuitive interface allows the user to specify criteria for selecting cases and defining putative risks. The repository contains comprehensive administrative and selected clinical information on all ambulatory and emergency department visits as well as hospital admissions since 1994. We tested the workstation's ability to determine relationships between outpatient diagnoses including hypertension, osteoarthritis and hypercholesterolemia with the occurrence of admissions for stroke and myocardial infarction and achieved results consistent with published studies. Successful implementation of this Health Services Research Workstation will allow "virtual" clinical trials to validate the results of formal clinical trials on a local population and may provide meaningful analyses of data when formal clinical trials are not feasible.

Case-Control Studies

Automatic query mapping among genomic databases: a pilot exploration.

As databases in the human genome project proliferate, it is important for users of one genomic database to identify similar or inconsistent data in other autonomously developed genomic databases. To do so, the user needs to issue the same query across multiple databases. We describe an approach that allows a query issued against one database to be automatically mapped to an equivalent query against another structurally different database. Our approach features two components: 1) a database designed to capture knowledge (metadata) that describes the correspondences among individual database components and 2) a module that utilizes the metadata to perform query mappings. As a demonstration, we apply our query mapping approach to two chromosome map databases (DB/12 and GDB).

Algorithms