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At least 703 records · Page 39Linked to original sources
PubMed1993

Design of an object-oriented database for reverse genetics.

We present the design of an object-oriented database system for reverse genetics applications. Such a database will encapsulate not only the data in the genetic and physical maps, but also the methods used to create the maps as well as methods to link them to other databases, such as GenBank, PIR, and MedLine. The purpose of this database is to provide the fungal genetics community with an electronic tool for identifying the biochemical function of any DNA fragment in the database--electronic reverse genetics. Such a tool for reverse genetics will enable researchers to identify the biochemical functions associated with genes encoding proteins in fungal development pathways, purine metabolism, the heat shock response, and molecular chromosome mechanics and evolution. Our initial goal is to apply the database for the genome mapping of the filamentous fungi, Aspergillus nidulans and Neurospora crassa, at the University of Georgia and the University of Leeds in England.

Aspergillus nidulans↗
PubMed1993

Medical database security policies.

Database security plays an important role in the overall security of medical information systems. Security does not only involve fundamental ethical principles such as privacy and confidentiality, but is also an essential prerequisite for effective medical care. The general framework and the requirements for medical database security are presented. The three prominent proposals for medical database security are discussed in some detail, together with specific proposals for medical database security. A number of parameters for a secure medical database development are presented and discussed, and guidelines are given for the development of secure medical database systems.

Computer Security↗
PubMed1993

EMBL-search: a CD-ROM based database query system.

This paper describes a system of generally applicable index files provided on the EMBL sequence databases CD-ROM to facilitate the development of front-end software to the sequence databases available on this CD-ROM. The index files are used by a new versatile and user-friendly database retrieval program for the Apple Macintosh, EMBL-Search, which allows the easy construction of complex database queries. EMBL-Search utilizes cross-reference information contained in the databases to support navigation between different information resources. The ability to run EMBL-Search on a local computer network accessing a shared database CD-ROM makes its use particularly cost effective.

Algorithms↗
PubMed1996

Searching chiropractic literature: a comparison of three computerized databases.

PURPOSE: To determine the efficiency of three computerized bibliographic databases in retrieving literature relevant to the chiropractor. METHODS: A cross-sectional design was used. English-language citations from 1990-92, on the topics of scoliosis, sciatica and neck pain, were searched in CHIROLARS, Index to Chiropractic Literature (ICL) and MEDLINE. Citations were assessed for relevance criteria by two assessors; a third assessor was used when both were unsure of relevance. Inter- and intraexaminer reliability of the relevance assessments was determined using the weighted Kappa statistic. The outcomes assessed were search time, search costs, number of citations, relevance, number of unique citations and the number of citations from refereed journals. Relative recall and cost per citation were used as primary measures of database efficiency. RESULTS: A total of 846 citations were retrieved. After exclusions, 786 citations were assessed for relevance. Interexaminer reliability of the relevance assessments was moderate [K(w) (standard error) = 0.46 (0.03)]. Intra-examiner reliability was fair for each of the assessors [K(w) (SE) = .36 (.10) and .35 (.10), respectively]. Of the 385 relevant citations, CHIROLARS retrieved 88 (relative recall = 23%) at a cost of CAN$1.01 per relevant citation, ICL retrieved 37 (relative recall = 10%) at CAN$.65 per relevant citation, and MEDLINE retrieved 260 (relative recall = 68%) at CAN$.52 per relevant citation. CONCLUSIONS: MEDLINE was found to be the most efficient database to search for literature relevant to the chiropractor; it retrieved the highest proportion of relevant citations and was the least expensive. CHIROLARS was the second most efficient of the three databases. No single database can function as a stand-alone source of information. For comprehensive searching, having an experienced reference librarian search MEDLINE in combination with at least one other database is recommended.

Chiropractic↗
PubMed1996

Database and knowledge base integration in decision support systems.

Since decision support systems (DSS) in medicine often are linked to clinical databases it is important to find methods that facilitate the work for DSS developers to implement database queries in the knowledge base (KB). This paper presents a method for linking clinical databases to a KB with Arden Syntax modules. The method is based on a query meta database including templates for SQL queries. During knowledge module authoring the medical expert only refers to a code in the query meta database. Our method uses standard tools so it can be implemented on different platforms and linked to different clinical databases.

Artificial Intelligence↗
PubMed1997

Adding semantics to genome databases: towards an ontology for molecular biology.

Molecular biology has a communication problem. There are many databases using their own labels and categories for storing data objects and some using identical labels and categories but with a different meaning. Conversely, one concept is often found under different names. Prominent examples are the concepts "gene" and "protein sequence" which are used with different semantics by major international genomic and protein databases thereby making database integration difficult and strenuous. This situation can only be improved by either defining individual semantic interfaces between each pair of databases (complexity of order n2) or by implementing one agreeable, transparent and computationally tractable semantic repository and linking each database to it (complexity of order n). Ontologies are one means to provide such semantic repository by explicitly specifying the meaning of and relation between the fundamental concepts in an application domain. Here, heuristics for building an ontology and the upper level and a database branch of a prospective Ontology for Molecular Biology are presented and compared to other ontologies with respect to suitability for molecular biology (http:/(/)igd.rz-berlin.mpg.de/www/oe/mbo.html).

Computational Biology↗
PubMed1997

A foundational model of time for heterogeneous clinical databases.

Differences among the database representations of clinical data are a major barrier to the integration of databases and to the sharing of decision-support applications across databases. Prior research on resolving data heterogeneity has not addressed specifically the types of mismatches found in various timestamping approaches for clinical data. Such temporal mismatches, which include time-unit differences among timestamps, must be overcome before many applications can use these data to reason about diagnosis, therapy, or prognosis. In this paper, we present an analysis of the types of temporal mismatches that exist in databases. To formalize these various approaches to timestamping, we provide a foundational model of time. This model gives us the semantics necessary to encode the temporal dimensions of clinical data in legacy databases and to transform such heterogeneous data into a uniform temporal representation suitable for decision support. We have implemented this foundational model as an extension to our Chronus system, which provides clinical decision-support applications the ability to match temporal patterns in clinical databases. We discuss the uniqueness of our approach in comparison with other research on representing and querying clinical data with varying timestamp representations.

Databases as Topic↗
PubMed2001

Generation of a database containing discordant intron positions in eukaryotic genes (MIDB).

MOTIVATION: Intron sliding is the relocation of intron-exon boundaries over short distances and is often also referred to as intron slippage or intron migration or intron drift. We have generated a database containing discordant intron positions in homologous genes (MIDB--Mismatched Intron DataBase). Discordant intron positions are those that are either closely located in homologous genes (within a window of 10 nucleotides) or an intron position that is present in one gene but not in any of its homologs. The MIDB database aims at systematically collecting information about mismatched introns in the genes from GenBank and organizing it into a form useful for understanding the genomics and dynamics of introns thereby helping understand the evolution of genes. RESULTS: Intron displacement or sliding is critically important for explaining the present distribution of introns among orthologous and paralogous genes. MIDB allows examining of intron movements and allows mapping of intron positions from homologous proteins onto a single sequence. The database is of potential use for molecular biologists in general and for researchers who are interested in gene evolution and eukaryotic gene structure. Partial analysis of this database allowed us to identify a few putative cases of intron sliding. AVAILABILITY: http://intron.bic.nus.edu.sg/midb/midb.html

Amino Acid Sequence↗
PubMed2004

PGTdb: a database providing growth temperatures of prokaryotes.

UNLABELLED: Included in Prokaryotic Growth Temperature database (PGTdb) are a total of 1334 temperature data from 1072 prokaryotic organisms, Bacteria and Archaea: PGTdb integrates microbial growth temperature data from literature survey with their nucleotide/protein sequence and protein structure data from related databases. A direct correlation is observed between the average growth temperature of an organism and the melting temperature of proteins from the organism. Therefore, this database is useful not only for microbiologists to obtain cultivation condition, but also for biochemists and structure biologists to study the correlation between protein sequences/structures and their thermostability. In addition, the taxonomy and ribosomal RNA sequence(s) of an organism are linked through NCBI Taxonomy and the Ribosomal RNA Operon Copy Number Database umdb, respectively. PGTdb is the only integrated database on the Internet to provide the growth temperature data of the prokaryotes and the combined information of their nucleotide/protein sequences, protein structures, taxonomy and phylogeny. AVAILABILITY: http://pgtdb.csie.ncu.edu.tw

Archaea↗
PubMed2004

Visualizing information across multidimensional post-genomic structured and textual databases.

MOTIVATION: Visualizing relationships among biological information to facilitate understanding is crucial to biological research during the post-genomic era. Although different systems have been developed to view gene-phenotype relationships for specific databases, very few have been designed specifically as a general flexible tool for visualizing multidimensional genotypic and phenotypic information together. Our goal is to develop a method for visualizing multidimensional genotypic and phenotypic information and a model that unifies different biological databases in order to present the integrated knowledge using a uniform interface. RESULTS: We developed a novel, flexible and generalizable visualization tool, called PhenoGenesviewer (PGviewer), which in this paper was used to display gene-phenotype relationships from a human-curated database (OMIM) and from an automatic method using a Natural Language Processing tool called BioMedLEE. Data obtained from multiple databases were first integrated into a uniform structure and then organized by PGviewer. PGviewer provides a flexible query interface that allows dynamic selection and ordering of any desired dimension in the databases. Based on users' queries, results can be visualized using hierarchical expandable trees that present views specified by users according to their research interests. We believe that this method, which allows users to dynamically organize and visualize multiple dimensions, is a potentially powerful and promising tool that should substantially facilitate biological research. AVAILABILITY: PhenogenesViewer as well as its support and tutorial are available at http://www.dbmi.columbia.edu/pgviewer/ CONTACT: Lussier@dbmi.columbia.edu.

Computer Graphics↗
PubMed2006

ADAM: another database of abbreviations in MEDLINE.

MOTIVATION: Abbreviations are an important type of terminology in the biomedical domain. Although several groups have already created databases of biomedical abbreviations, these are either not public, or are not comprehensive, or focus exclusively on acronym-type abbreviations. We have created another abbreviation database, ADAM, which covers commonly used abbreviations and their definitions (or long-forms) within MEDLINE titles and abstracts, including both acronym and non-acronym abbreviations. RESULTS: A model of recognizing abbreviations and their long-forms from titles and abstracts of MEDLINE (2006 baseline) was employed. After grouping morphological variants, 59 405 abbreviation/long-form pairs were identified. ADAM shows high precision (97.4%) and includes most of the frequently used abbreviations contained in the Unified Medical Language System (UMLS) Lexicon and the Stanford Abbreviation Database. Conversely, one-third of abbreviations in ADAM are novel insofar as they are not included in either database. About 19% of the novel abbreviations are non-acronym-type and these cover at least seven different types of short-form/long-form pairs. AVAILABILITY: A free, public query interface to ADAM is available at http://arrowsmith.psych.uic.edu, and the entire database can be downloaded as a text file.

Animals↗
PubMed2006

Database resources of the National Center for Biotechnology Information.

In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI's Web site. NCBI resources include Entrez, the Entrez Programming Utilities, MyNCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Electronic PCR, OrfFinder, Spidey, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genomes and related tools, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups, Retroviral Genotyping Tools, HIV-1, Human Protein Interaction Database, SAGEmap, Gene Expression Omnibus, Entrez Probe, GENSAT, Online Mendelian Inheritance in Man, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool and the PubChem suite of small molecule databases. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized datasets. All of the resources can be accessed through the NCBI home page at: http://www.ncbi.nlm.nih.gov.

Databases, Genetic↗
PubMed2006

Database resources of the National Center for Biotechnology Information.

In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI's Web site. NCBI resources include Entrez, the Entrez Programming Utilities, My NCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link(BLink), Electronic PCR, OrfFinder, Spidey, Splign, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genome, Genome Project and related tools, the Trace and Assembly Archives, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups (COGs), Viral Genotyping Tools, Influenza Viral Resources, HIV-1/Human Protein Interaction Database, Gene Expression Omnibus (GEO), Entrez Probe, GENSAT, Online Mendelian Inheritance in Man (OMIM), Online Mendelian Inheritance in Animals (OMIA), the Molecular Modeling Database (MMDB), the Conserved Domain Database (CDD), the Conserved Domain Architecture Retrieval Tool (CDART) and the PubChem suite of small molecule databases. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. These resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.

Animals↗
PubMed1994

The sensitivity and specificity of computerized databases for the diagnosis of rheumatoid arthritis.

OBJECTIVE: To examine the accuracy of a computerized medical database for the diagnosis of rheumatoid arthritis (RA). METHODS: The complete medical records of all prevalent cases of RA (according to the 1987 American College of Rheumatology diagnostic criteria) on January 1, 1987 were reviewed to determine the sensitivity, specificity, and predictive value of database diagnoses compared with those obtained by medical record review. Agreement between database and medical record diagnoses was calculated using the kappa statistic. RESULTS: Computerized database diagnoses of RA had a sensitivity of 89%, a specificity of 74%, a positive predictive value of 57%, and a negative predictive value of 94% compared with diagnoses based on clinical information abstracted from the complete medical record. Agreement between database and medical record diagnoses was poor (kappa = 0.54). CONCLUSION: The sole reliance on such databases for the diagnoses of RA can result in substantial misdiagnosis.

Adult↗
PubMed1989

Computerized, comprehensive databases of cellular and secreted proteins from normal human embryonic lung MRC-5 fibroblasts: identification of transformation and/or proliferation sensitive proteins.

Databases of protein information from human embryonal lung fibroblasts (MRC-5) have been established using computer analyzed two-dimensional gel electrophoresis. One thousand four hundred and eighty-two cellular proteins (1060 with isoelectric focusing and 422 with nonequilibrium pH gradient electrophoresis, in the first dimension) ranging in molecular mass between 8 and 234 kDa were separated and numbered. Information entered in the database (in most cases for major proteins) includes: protein name, HeLa protein catalog number, mouse protein catalog number, proteins matched in transformed human epithelial amnion cells (AMA) and peripheral blood mononuclear cells (PBMC), transformation and/or proliferation sensitive proteins, synthesis in quiescent cells, cell cycle regulated proteins, mitochondrial and heat shock proteins, cytoskeletal proteins and proteins whose synthesis is affected by interferons. Additional information entered for a few transformation-sensitive proteins that have been selected for future studies includes levels of synthesis and amounts in fetal human tissues. A total of four hundred and seventy-six [35S]methionine labeled polypeptides (258 isoelectric focusing; 218, nonequilibrium pH gradient electrophoresis) secreted by MRC-5 fibroblasts were separated and recorded (J. E. Celis et al., Leukemia 1987, 1, 707-717). Information entered in this database includes molecular weight and transformation sensitive proteins. These databases, as well as those of epithelial and lymphoid cell proteins (J. E. Celis et al., Leukemia 1988, 9, 561-601), represent the initial stages of a systematic effort to establish comprehensive databases of human protein information. In the long run, these databases are expected to offer a useful framework in which to focus the human genome sequencing effort.

Cell Line, Transformed↗
PubMed1989

Database and search techniques for two-dimensional gel protein data: a comparison of paradigms for exploratory data analysis and prospects for biological modeling.

Two-dimensional (2-D) polyacrylamide gel electrophoresis can detect thousands of polypeptides, separating them by apparent molecular weight (Mr) and isoelectric point (pI). Thus it provides a more realistic and global view of cellular genetic expression than any other technique. This technique has been useful for finding sets of key proteins of biological significance. However, a typical experiment with more than a few gels often results in an unwiedly data management problem. In this paper, the GELLAB-II system is discussed with respect to how data reduction and exploratory data analysis can be aided by computer data management and statistical search techniques. By encoding the gel patterns in a "three-dimensional" (3-D) database, an exploratory data analysis can be carried out in an environment that might be called a "spread sheet for 2-D gel protein data". From such databases, complex parametric network models of protein expression during events such as differentiation might be constructed. For this, 2-D gel databases must be able to include data from other domains external to the gel itself. Because of the increasing complexity of such databases, new tools are required to help manage this complexity. Two such tools, object-oriented databases and expert-system rule-based analysis, are discussed in this context. Comparisons are made between GELLAB and other 2-D gel database analysis systems to illustrate some of the analysis paradigms common to these systems and where this technology may be heading.

Algorithms↗
PubMed1991

Methods for the analysis and assessment of clinical databases: the clinician's perspective.

Innovative approaches to analysing clinical databases can be considered from a perspective of innovations that improve the analytical approach or from a more global perspective in which clinical databases themselves are evaluated as a technology. The analytic approach for using a database to estimate risk can be considered as a matrix of three methodologic concerns: the predictive method; the assessment of the quality of the predictions; and the assessment of the validity or generalizability of the predictions. Considering databases as a technology places in perspective the merit of clinical databases and defines their potential value to the health care system. An awareness of both the clinical and analytic problem encourages innovation and can lead to creative solutions to the many problems present in the analysis of clinical databases.

Clinical Medicine↗
PubMed1994

User-definable bull's-eye database analysis.

Several quantitative bull's-eye database programs have been developed and employed successfully, but generally they restrict the user to limited types of quantitative analysis. We developed a type of bull's-eye analysis which facilitates user-defined processing, and then explored the effects of various types of processing on the comparisons of patient information with that of reference databases. Male and female bull's-eye database were generated from 32 normal patients using unweighted 2D prefiltering, ramp backprojection, unweighted 3D postfiltering, and peak value circumferential plotting (base method). The data from each patient were then reprocessed and compared to the databases by means of three different approaches: (1) using the base method, (2) using average as opposed to peak value profiles, and (3) using a resolution recovery prefilter instead of a smoothing prefilter. Significant differences in the number of apparently abnormal regions were found between the three methods. In other words, the type of single-photon emission tomography (SPET) processing affected the accuracy of comparisons between patient and database information. Because even sophisticated analysis can now be performed on personal computers, we conclude that, rather than a preprocessed data file, clinical "normal reference" information should consist of original SPET data (in a standard format, e.g., Interfile) from a series of documented normal patients. Each user could then generate reference bull's-eye database by applying his or her own clinical processing procedures to the data.

Humans↗