Istvan Ladunga's profile
What I do
My Team’s research is focused on nucleosome positioning, transcription factor binding, histone modifications and transcriptional regulation. We have developed novel, highly accurate computational mapping of the nucleosome landscape in yeast. These predictions, combined with the direct experimental results, are used to the more sophisticated understanding of the complex roles of the nucleosome landscape in controlling the accessibility of the genome and in the regulation of transcription. We use statistical and machine learning methods to understand how the positioning of nucleosomes, the histone modifications and the binding of transcription factors affect gene expression.
We are extending our predictions to the model plant Arabidopsis thaliana in combination with the analysis of chromatin immunoprecipitation combined with next-generation sequencing, currently on the Illumina/Solexa platform.
Affiliations
Current affiliations
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- Position
- Professor
- Company
- University of Nebraska-Lincoln
- Further information
Location
- City:
- None chosen
- Hub:
- None chosen
Interests
Computational biology
nucleosome mapping
chromatin structure
transcriptional regulation
Projects
Istvan Ladunga has not yet listed any projects.
Publications
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Karlin S, Ladunga I. Comparisons of eukaryotic genomic sequences. Proceedings of the National Academy of Sciences of the United States of America (26) , 12832-6 PubMed ID:(7809130)
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Karlin S, Ladunga I, Blaisdell B. Heterogeneity of genomes: measures and values. Proceedings of the National Academy of Sciences of the United States of America (26) , 12837-41 PubMed ID:(7809131)
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Ladunga I. Large-scale predictions of secretory proteins from mammalian genomic and EST sequences. Current opinion in biotechnology (1) , 13-8 PubMed ID:(10679337)
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Ladunga I. More complete gene silencing by fewer siRNAs: transparent optimized design and biophysical signature. Nucleic acids research (2) , 433-40 (Epub 14 Dec 2006) PubMed ID:(17169992 )
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Ladunga I. Phylogenetic continuum indicates "galaxies" in the protein universe: preliminary results on the natural group structures of proteins. Journal of molecular evolution (4) , 358-75 PubMed ID:(1569589)
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