Gordana Pavlovic-Lazetic

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BACKGROUND We have compared 38 isolates of the SARS-CoV complete genome. The main goal was twofold: first, to analyze and compare nucleotide sequences and to identify positions of single nucleotide polymorphism (SNP), insertions and deletions, and second, to group them according to sequence similarity, eventually pointing to phylogeny of SARS-CoV isolates.(More)
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)
BACKGROUND A significant number of proteins have been shown to be intrinsically disordered, meaning that they lack a fixed 3 D structure or contain regions that do not posses a well defined 3 D structure. It has also been proven that a protein's disorder content is related to its function. We have performed an exhaustive analysis and comparison of the(More)
When dealing with data-centric XML documents, it is possible to convert XML documents into a relational database, which can then be queried using SQL. Such relational databases are called XML-enabled databases. On the other hand, the best choice for storing, updating and retrieving document-centric XML documents is usually a native XML database (NXD). NXDs(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)
In this paper we describe the resources and tools for the processing of texts written in Serbian that have been developed within the University of Belgrade NLP group located at the Faculty of Mathematics. The main features of these resources , namely available monolingual and multilingual corpora and various e-dictionaries are briefly described. The use of(More)
In this paper we describe the resources and tools for the processing of texts written in Serbian. Most of the resources have been developed within the University of Belgrade NLP group located at the Faculty of Mathematics. The main features of these resources, namely available monolingual and multilingual corpora and various e-dictionaries are briefly(More)