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M I Bellgard

Publications and source records attributed to M I Bellgard.

8 recordsLinked to original sources
PubMed2001

Bioinformatics issues for automating the annotation of genomic sequences.

The rapid explosion in the amount of biological data being generated worldwide is surpassing efforts to manage analysis of the data. As part of an ongoing project to automate and manage bioinformatics analysis, the authors have designed and implemented a simple automated annotation system, which is described in this paper. The system is applied to existing GenBank/DDBJ/EMBL entries and compared with existing annotations to illustrate not only potential errors but also that they are generally not up-to-date, as a result of new versions of analysis tools and updates of genomic repositories. We highlight the important Bioinformatics issues of storage and management of information to ensure data and results are kept up-to-date in light of new information becoming available. Surprisingly, from just four database entries, a significant number of new features were found. We describe the results as well as identify important issues that need to be addressed in order to automate the re-analysis/re-annotation of genomic sequences within a reasonable timeframe.

Computational Biology↗
PubMed1999

Significant differences between the G+C content of synonymous codons in orthologous genes and the genomic G+C content.

The relationship between the overall G+C content of the genome (GC) and the GC content at the third codon positions (GC3) of genes, which we refer to as a GC3-plot, was examined using 15 currently available complete genome sequences. A remarkably linear relationship was found between these two quantities, confirming previous observations of a strong positive correlation in the GC3-plot. In order to conduct a more detailed analysis of the GC3-plot, we examined the GC3 content by separating orthologous codons into three categories: synonymously different codons (namely identical amino acids, IA), different amino acids (DA), and identical codons (IC), for a pairwise comparison of two closely related species. When we took pairwise species comparisons between Mycoplasma genitalium (Mg) and Mycoplasma pneumoniae (Mp) and between Mycobacterium tuberculosis (Mt) and Mycobacterium leprae (Ml) as examples, we found that for Mp and Ml, the GC3 for IA deviated the most from the linear expectation in the GC3-plot, whereas for Mg and Mt the deviation was minimal. These findings suggest that the major changes of GC content took place in Mp and Ml, but not in Mg and Mt. This analysis also enables us to predict the future direction of the evolutionary changes of the genomic GC content.

Base Composition↗
PubMed1999

Dynamic evolution of genomes and the concept of genome space.

A new era in the elucidation of genome evolution has been heralded with the availability of numerous genome sequences. With these data, it has been possible to study evolutionary processes at a greater level of detail in order to characterize features such as gene shuffling, genome rearrangements, base bias composition, and horizontal gene transfer. In this paper, we discuss the evolutionary implications of significant rearrangements within genomes as well as characteristic genomic regions that have been conserved across genomes. This is based on our analysis of orthologous and paralogous genes. We argue that genome plasticity has most likely contributed substantially to the dynamic evolution of genomes. We also describe the characteristic mosaic features of an archaea genome that is comprised of both bacterial and eukaryal elements. Here we investigate base compositional differences as well as the similarity of this species' genes to either bacteria or eukarya. We conclude that these features can be largely explained by the mechanism of horizontal gene transfer. Finally, we introduce the concept of genome space which is defined as the entire set of genomes of all living organisms. We explain its usefulness to describe as well as to gain deeper insight into the general features of the dynamic genomic evolutionary process.

Archaea↗
PubMed1999

Identification of a ribonuclease H gene in both Mycoplasma genitalium and Mycoplasma pneumoniae by a new method for exhaustive identification of ORFs in the complete genome sequences.

Exhaustive identification of open reading frames in complete genome sequences is a difficult task. It is possible that important genes are missed. In our efforts to reanalyze the intergenic regions of Mycoplasma genitalium and Mycoplasma pneumoniae, we have newly identified a number of new open reading frames (ORFs) in both M. genitalium and M. pneumoniae. The most significant identification was that of a ribonuclease H enzyme in both species which until now has not been identified or assumed absent and interpreted as such. In this paper we discuss the biological importance of RNase H and its evolutionary implication. We also stress the usefulness of our method for identifying new ORFs by reanalyzing intergenic regions of existing ORFs in complete genome sequences.

Genome, Bacterial↗
PubMed1999

ORBIT: an integrated environment for user-customized bioinformatics tools.

MOTIVATION: There are a large number of computational programs freely available to bioinformaticians via a client/server, web-based environment. However, the client interface to these tools (typically an html form page) cannot be customized from the client side as it is created by the service provider. The form page is usually generic enough to cater for a wide range of users. However, this implies that a user cannot set as 'default' advanced program parameters on the form or even customize the interface to his/her specific requirements or preferences. Currently, there is a lack of end-user interface environments that can be modified by the user when accessing computer programs available on a remote server running on an intranet or over the Internet. RESULTS: We have implemented a client/server system called ORBIT (Online Researcher's Bioinformatics Interface Tools) where individual clients can have interfaces created and customized to command-line-driven, server-side programs. Thus, Internet-based interfaces can be tailored to a user's specific bioinformatic needs. As interfaces are created on the client machine independent of the server, there can be different interfaces to the same server-side program to cater for different parameter settings. The interface customization is relatively quick (between 10 and 60 min) and all client interfaces are integrated into a single modular environment which will run on any computer platform supporting Java. The system has been developed to allow for a number of future enhancements and features. ORBIT represents an important advance in the way researchers gain access to bioinformatics tools on the Internet.

Computational Biology↗
PubMed1998

MHC haplotype analysis by artificial neural networks.

Conventional matching is based on numbers of alleles shared between donor and recipient. This approach, however, ignores the degree of relationship between alleles and haplotypes, and therefore the actual degree of difference. To address this problem, we have compared family members using a block matching technique which reflects differences in genomic sequences. All parents and siblings had been genotyped using conventional MHC typing so that haplotypes could be assigned and relatives could be classified as sharing 0, 1 or 2 haplotypes. We trained an Artificial Neural Network (ANN) with subjects from 6 families (85 comparisons) to distinguish between relatives. Using the outputs of the ANN, we developed a score, the Histocompatibility Index (HI), as a measure of the degree of difference. Subjects from a further 3 families (106 profile comparisons) were tested. The HI score for each comparison was plotted. We show that the HI score is trimodal allowing the definition of three populations corresponding to approximately 0, 1 or 2 haplotype sharing. The means and standard deviations of the three populations were found. As expected, comparisons between family members sharing 2 haplotypes resulted in high HI scores with one exception. More interestingly, this approach distinguishes between the 1 and 0 haplotype groups, with some informative exceptions. This distinction was considered too difficult to attempt visually. The approach provides promise in the quantification of degrees of histocompatibility.

Electrophoresis, Agar Gel↗
PubMedDate not supplied

Intragenic variation of synonymous substitution rates is caused by nonrandom mutations at methylated CpG.

It has been observed that synonymous substitution rates vary among genes in various organisms, although the cause of the variation is unresolved. At the intragenic level, however, the variation of synonymous substitutions is somewhat controversial. By developing a rigorous statistical test and applying the test to 418 homologous gene pairs between mouse and rat, we found that more than 90% of gene pairs showed a statistical significance in intragenic variation of synonymous substitution rates. Moreover, by examining all conceivable possibilities for the cause of the variation, we successfully found that intragenic variation of synonymous substitutions in mammalian genes is caused mainly by a nonrandom mutation due to the methylation of CpG dinucleotides rather than by functional constraints.

Amino Acid Sequence↗