Gordana Pavlovic-Lazetic

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The paper presents a novel, n-gram-based method for analysis of bacterial genome segments known as genomic islands (GIs). Identification of GIs in bacterial genomes is an important task since many of them represent inserts that may contribute to bacterial evolution and pathogenesis. In order to characterize and distinguish GIs from rest of the genome,(More)
One of the main tasks of the Natural Language Processing Group at the Faculty of Mathematics, University of Belgrade is the development of various lexical resources. Among them the two most important ones are: the system of morphological dictionaries of Serbian (SMD) in Intex format and the Serbian wordnet (SWN) developed in the scope of the Balkanet(More)
To associate phenotypic characteristics of an organism to molecules encoded by its genome, there is a need for well-structured genotype and phenotype data. We use a novel method for extracting data on phenotype and genotype characteristics of microorganisms from text. As a resource, we use an encyclopedia of microorganisms, which holds phenotypic and(More)
There are two approaches to identifying genomic and pathogenesis islands (GI/PAIs) in bacterial genomes: the compositional and the functional, based on DNA or protein level composition and gene function, respectively. We applied n-gram analysis in addition to other compositional features, combined them by union and intersection and defined two measures for(More)
Correlations and associations between specific organism characteristics (such as genome size, genome GC content, optimal growth temperature, habitat, oxygen requirements) may provide for deeper comprehension of evolutionary processes as well as for some prediction possibilities, e.g., trends prediction of some pandemia. There is a plenty of genotype data(More)
Experimental data in life sciences, created with today's sequencing techniques, accumulate rapidly in different formats and data sources, leaving facts and knowledge on observed phenomena hidden and unreachable to researchers. The "big data" problem can be seen from various aspects. In this paper , we pointed out to those that can be solved with some sort(More)