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Dental CT imaging as a screening tool for dental profiling: advantages and limitations.

The use of dental processing software for computed tomography (CT) data (Dentascan) is described on postmortem (pm) CT data for the purpose of pm identification. The software allows reconstructing reformatted images comparable to conventional panoramic dental radiographs by defining a curved reconstruction line along the teeth on oblique images. Three corpses that have been scanned within the virtopsy project were used to test the software for the purpose of dental identification. In every case, dental panoramic images could be reconstructed and compared to antemortem radiographs. The images showed the basic component of teeth (enamel, dentin, and pulp), the anatomic structure of the alveolar bone, missing or unerupted teeth as well as restorations of the teeth that could be used for identification. When streak artifacts due to metal-containing dental work reduced image quality, it was still necessary to perform pm conventional radiographs for comparison of the detailed shape of the restoration. Dental identification or a dental profiling seems to become possible in a noninvasive manner using the Dentascan software.

Forensic Dentistry↗

Conservative region of the genes encoding four adhesins of Helicobacter pylori: cloning, sequence analysis and biological information analysis.

OBJECTIVE: To clone the conserved regions of the genes encoding the 4 adhesins (BabA, AlpA, AlpB and HopZ) of Helicobacter pylori (H. pylori) and analyze their sequences and biological information, thus facilitating further research in the molecular mechanism and immunogenicity of H. pylori adhesins. METHODS: Common conserved region (designated as CB) was identified from the confirmed sequences (by ANTHEPROT V4.3c software package) of the 4 adhesin proteins. Their DNA sequences were deduced, according to which primers specific to CB were designed for subsequent PCR, and the products were inserted directionally into pET-22b(+) vector to construct recombinant clones of the conserved region. The DNA sequences were determined with the basic local alignment sequence tool (BLAST) and the biological properties analyzed with ANTHEPROT V4.3c software package. RESULTS: The recombinant plasmid containing the CB sequence was constructed. DNA sequencing showed an open reading frame of 588 bp in length, encoding 195 amino acids. The homogencity of conservative region of the 4 adhesion genes was above 50%. The corresponding protein possessed a relative molecular mass (Mr) of 22 500 as predicted by ANTHEPROT V4.3c software prediction, with excellent antigenicity and hydrophobicity. There were 836 767 sequences analyzed with BLAST, in which those with homogencity of 40% with the identified CB sequence were categorized into H. pylori sequences. CONCLUSION: There are conservative regions in the 4 adhesin genes with similar homogencity, suggesting similar molecular basis for adhesion of the adhesins. Biological information analysis indicates that CB has excellent immunogenicity and strict species specificity.

Adhesins, Bacterial↗

Medical activities and statistics.

The evaluation of the medical activity is a major concern for hospitals and public health services. With the introduction of coding (IDC-10 and CHOP classifications) hospitals are now able to analyze their medical activity. A way to improve physicians' acceptance in analyzing their work is to give them valuable feedback information. Building statistics tools is costly and time consuming. Therefore introducing data warehouse tools is helpful. Nice Code is an easy-to-use software that helps medical encoding while immediately offering understandable statistics. In Switzerland, physicians demand real feedback based on the data transmitted at the "cantonal" or federal levels and more transparency in third payer's decisions. In this respect, several cantons decided to equip public health services and hospitals with this tool. The goal is to give, physicians and economists, powerful tools for analyzing the medical activity.

Hospital Information Systems↗

Development of a controlled vocabulary and software application to analyze fruit shape variation in tomato and other plant species.

The domestication and improvement of fruit-bearing crops resulted in a large diversity of fruit form. To facilitate consistent terminology pertaining to shape, a controlled vocabulary focusing specifically on fruit shape traits was developed. Mathematical equations were established for the attributes so that objective, quantitative measurements of fruit shape could be conducted. The controlled vocabulary and equations were integrated into a newly developed software application, Tomato Analyzer, which conducts semiautomatic phenotypic measurements. To demonstrate the utility of Tomato Analyzer in the detection of shape variation, fruit from two F2 populations of tomato (Solanum spp.) were analyzed. Principal components analysis was used to identify the traits that best described shape variation within as well as between the two populations. The three principal components were analyzed as traits, and several significant quantitative trait loci (QTL) were identified in both populations. The usefulness and flexibility of the software was further demonstrated by analyzing the distal fruit end angle of fruit at various user-defined settings. Results of the QTL analyses indicated that significance levels of detected QTL were greatly improved by selecting the setting that maximized phenotypic variation in a given population. Tomato Analyzer was also applied to conduct phenotypic analyses of fruit from several other species, demonstrating that many of the algorithms developed for tomato could be readily applied to other plants. The controlled vocabulary, algorithms, and software application presented herein will provide plant scientists with novel tools to consistently, accurately, and efficiently describe two-dimensional fruit shapes.

Algorithms↗

Software for population pharmacokinetics and pharmacodynamics.

Pharmacokinetic-pharmacodynamic modelling is being used increasingly as a tool in drug development because often in phase III clinical trials only sparse data are available for analysis and so a nonlinear mixed effects modelling approach has to be adopted. Specialist data analytical techniques and software are required to analyse such data. This article reviews some of the software currently available for performing nonlinear mixed effects modelling. A questionnaire was devised and sent to a number of software producers and the findings are presented and discussed in this paper. The programs could be grouped into 3 main categories: parametric and nonparametric maximum likelihood and Bayesian. It was apparent from the questionnaire that software development for population data analysis is a very active area of investigation. The implementation of methodologies varied widely between the packages: some were self-contained programs, whereas others were written within another application, usually a statistical package. They also varied with respect to their ease of use and level of support offered by the software producers. Although robustness and reliability are important concerns, they were not addressed in the present review. Most of the programs surveyed are in continual development.

Animals↗

ProfDist: a tool for the construction of large phylogenetic trees based on profile distances.

SUMMARY: ProfDist is a user-friendly software package using the profile-neighbor-joining method (PNJ) in inferring phylogenies based on profile distances on DNA or RNA sequences. It is a tool for reconstructing and visualizing large phylogenetic trees providing new and standard features with a special focus on time efficency, robustness and accuracy. AVAILABILITY: A Windows version of ProfDist comes with a graphical user interface and is freely available at http://profdist.bioapps.biozentrum.uni-wuerzburg.de

Algorithms↗

Staff and student perceptions of computer-assisted assessment for physiology practical classes.

Effective assessment of laboratory practicals is a challenge for large-size classes. To reduce the administrative burden of staff members without compromising the student learning experience, we utilized dedicated computer software for short-answer question assessment for nearly 300 students and compared it with the more traditional, paper-based method of assessment of the same student cohort. Students were generally favorably disposed toward computer-assisted assessment (CAA): 75% of the students responded that for future assignments, they either had no preference for the method of assessment or would prefer CAA. Advantages were perceived to be remote access to the questions and ease of submission. The most common disadvantage cited was lack of internet access. Various advantages of CAA were mentioned by staff members: notably, the reduction in marking time and reduction of paperwork as well as the potential for the software to detect plagiarism and to administer anonymous marking. Disadvantages to CAA were the need to tailor questions to the technology, having to adapt to reading answers and marking onscreen, and the quality of feedback to students. All of the disadvantages could be overcome by training and improved versions of CAA software, currently under development. The use of CAA has proved to be a welcome addition to the tools available to staff members for the assessment of practical classes, and future improved versions of the software will increase the utility of this assessment method.

Attitude↗

Personalized online information search and visualization.

BACKGROUND: The rapid growth of online publications such as the Medline and other sources raises the questions how to get the relevant information efficiently. It is important, for a bench scientist, e.g., to monitor related publications constantly. It is also important, for a clinician, e.g., to access the patient records anywhere and anytime. Although time-consuming, this kind of searching procedure is usually similar and simple. Likely, it involves a search engine and a visualization interface. Different words or combination reflects different research topics. The objective of this study is to automate this tedious procedure by recording those words/terms in a database and online sources, and use the information for an automated search and retrieval. The retrieved information will be available anytime and anywhere through a secure web server. RESULTS: We developed such a database that stored searching terms, journals and et al., and implement a piece of software for searching the medical subject heading-indexed sources such as the Medline and other online sources automatically. The returned information were stored locally, as is, on a server and visible through a Web-based interface. The search was performed daily or otherwise scheduled and the users logon to the website anytime without typing any words. The system has potentials to retrieve similarly from non-medical subject heading-indexed literature or a privileged information source such as a clinical information system. The issues such as security, presentation and visualization of the retrieved information were thus addressed. One of the presentation issues such as wireless access was also experimented. A user survey showed that the personalized online searches saved time and increased and relevancy. Handheld devices could also be used to access the stored information but less satisfactory. CONCLUSION: The Web-searching software or similar system has potential to be an efficient tool for both bench scientists and clinicians for their daily information needs.

Databases, Bibliographic↗

Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices.

Most pockets in the human leukocyte antigen-group DR (HLA-DR) groove are shaped by clusters of polymorphic residues and, thus, have distinct chemical and size characteristics in different HLA-DR alleles. Each HLA-DR pocket can be characterized by "pocket profiles," a quantitative representation of the interaction of all natural amino acid residues with a given pocket. In this report we demonstrate that pocket profiles are nearly independent of the remaining HLA-DR cleft. A small database of profiles was sufficient to generate a large number of HLA-DR matrices, representing the majority of human HLA-DR peptide-binding specificity. These virtual matrices were incorporated in software (TEPITOPE) capable of predicting promiscuous HLA class II ligands. This software, in combination with DNA microarray technology, has provided a new tool for the generation of comprehensive databases of candidate promiscuous T-cell epitopes in human disease tissues. First, DNA microarrays are used to reveal genes that are specifically expressed or upregulated in disease tissues. Second, the prediction software enables the scanning of these genes for promiscuous HLA-DR binding sites. In an example, we demonstrate that starting from nearly 20,000 genes, a database of candidate colon cancer-specific and promiscuous T-cell epitopes could be fully populated within a matter of days. Our approach has implications for the development of epitope-based vaccines.

Alleles↗

Automated identification of SUMOylation sites using mass spectrometry and SUMmOn pattern recognition software.

Tandem mass spectrometry (MS/MS) allows for the rapid identification of many types of post-translational modifications (PTMs), especially those that can be detected by a diagnostic mass shift in one or more peptide fragment ions (for example, phosphorylation). But some PTMs (for example, SUMOs and other ubiquitin-like modifiers) themselves produce multiple fragment ions; combined with fragments from the modified target peptide, a complex overlapping fragmentation pattern is thus generated, which is uninterpretable by standard peptide sequencing software. Here we introduce SUMmOn, an automated pattern recognition tool that detects diagnostic PTM fragment ion series within complex MS/MS spectra, to identify modified peptides and modification sites within these peptides. Using SUMmOn, we demonstrate for the first time that human SUMO-1 multimerizes in vitro primarily via three N-terminal lysines, Lys7, Lys16 and Lys17. Notably, our method is theoretically applicable to any type of modification or chemical moiety generating a unique fragment ion pattern.

Algorithms↗

Generation of non-genomic oligonucleotide tag sequences for RNA template-specific PCR.

BACKGROUND: In order to overcome genomic DNA contamination in transcriptional studies, reverse template-specific polymerase chain reaction, a modification of reverse transcriptase polymerase chain reaction, is used. The possibility of using tags whose sequences are not found in the genome further improves reverse specific polymerase chain reaction experiments. Given the absence of software available to produce genome suitable tags, a simple tool to fulfill such need was developed. RESULTS: The program was developed in Perl, with separate use of the basic local alignment search tool, making the tool platform independent (known to run on Windows XP and Linux). In order to test the performance of the generated tags, several molecular experiments were performed. The results show that Tagenerator is capable of generating tags with good priming properties, which will deliberately not result in PCR amplification of genomic DNA. CONCLUSION: The program Tagenerator is capable of generating tag sequences that combine genome absence with good priming properties for RT-PCR based experiments, circumventing the effects of genomic DNA contamination in an RNA sample.

Algorithms↗

Optical coherence tomography 3: Automatic delineation of the outer neural retinal boundary and its influence on retinal thickness measurements.

PURPOSE: To investigate the automatic delineation of the outer limits of the macular neural retina, by using the optical coherence tomography (OCT)-3 built-in software, and to determine its influence in assessing retinal thickness in the normal macula. METHODS: Retrospective analysis of the OCT3 data at a tertiary-care referral center was performed to study the automatic delineation of the outer neural retina boundary generated by the OCT built-in software. In parallel, a cross-sectional study was designed to compare retinal thickness measurements obtained at specific macular regions of nine normal eyes by the automatic measurement tool with those obtained using a manual-caliper-assisted technique. RESULTS: OCT data from 121 eyes were evaluated. Two parallel, linear highly reflective layers (HRL) were visible at the level of the outer retinal boundary in normal macular regions. Disappearance of the inner and maintenance of the outer HRL was noted in the presence of eye conditions affecting the external retinal layers. The automated software delineation for the outer retinal border was primarily guided by the presence of the inner HRL, whereas the correlation of the OCT findings with the expected clinical and angiographic features on eyes presenting specific macular conditions pointed toward a deeper retinal pigment epithelium-retina interface occurring at the level of the outer HRL. There was a statistically significant difference between the retinal thickness in specific normal macular regions obtained by the automatic measurement tool and the caliper-assisted technique in which the outer retinal border delineation was based on the outer HRL (P = 0.008, Wilcoxon signed rank test). CONCLUSIONS: Incorrect delineation of the outer neural retina boundary is occurring with the automated retinal thickness measurement tool of the OCT3 software. At specific regions of the normal macula, retinal thicknesses were significantly underestimated due to such misalignment.

Adolescent↗

Proteomic 2DE database for spot selection, automated annotation, and data analysis.

We present a software solution that enables faster and more accurate data analysis of 2DE/MALDI TOF MS data. The software supports data analysis through a number of automated data selection functions and advanced graphical tools. Once protein identities are determined using MALDI TOF MS, automated data retrieval from online databases provides biological information. The software, called 2DDB, reduces analysis time to a fraction without losing any quality compared to more manual data analysis. The database contains over 100,000 data entries, and selected parts can be reached at http://2ddb.org.

Animals↗

Noviceware: a model for learning the software development process.

Students and nursing faculty without formal computer science training can collaborate within an independent study structure to assist the student in gaining experience with the fundamentals of software development. The systems development life cycle approach provides an essential map to structure such independent studies. This article describes the development within an academic setting of a computerized research management system. The software builds a database of research case demographic data and data from a 65-item tool used in scoring videotapes of caregiver-infant interactions. For students and faculty contemplating similar projects, recommendations about planning software development experiences and securing hardware, software, and expert resources are provided.

Algorithms↗

[Informatics in food microbiology: applications for the identification of microorganisms].

Recent progress in analytical procedures (chemotaxonomy, molecular biology) and its contribution to the development of microbial Systematics and Identification have been examined. The benefit that these techniques have gained from the technological progression experienced by computer hardware and software (artificial intelligence and numerical taxonomy) and the improvement in tools for the study of characteristics and interrelationships between microorganism are also reported.

Bacteria↗

Reducing the man-machine barrier: the Sequence Analysis Workbench.

The conventional software paradigm in which the machine acts as an unintelligent but patient servant often increases the perceived distance between scientist and data. Direct manipulation offers an alternative paradigm in which the scientist uses the computer as a scientific instrument for examining and modifying the data directly, rather than by issuing instructions to an agent. The Sequence Analysis Workbench provides several experimental tools for direct manipulation of sequence data; object-oriented programming makes it possible to construct sophisticated tools quickly, and facilitates critical examination and review of scientific software.

Base Sequence↗

The image related services of the HELIOS software engineering environment.

This paper describes the approach of the European HELIOS project to integrate image processing tools into ward information systems. The image processing tools are the result of the basic research in image analysis in the Department Medical and Biological Informatics at the German Cancer Research Center. These tools for the analysis of two-dimensional images and three-dimensional data volumes with 3D reconstruction and visualization ae part of the Image Related Services of HELIOS. The HELIOS software engineering environment allows to use the image processing functionality in integrated applications.

Computer Communication Networks↗