Bioinformatic research group
Group leader: Eszter Ari
Students
PhD
Active PhD students: Tamás Kadlecsik (50%), Dániel Gerber (50%), Balázs Bohár (50%), András Asbóth (50%)
Graduated PhD students: Amanda Demeter (50%)
Master
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Active master students: Ágoston Hunya, Gergely Tarján (ic)
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Graduated master students: András Asbóth, Balázs Bohár, Misshelle Bustamante, Luca Csabai (ic), Benedek Dankó (ic), Amanda Demeter (ic), Anna Küllői (ic), Orsolya Liska, Márton Ölbei, Bence Siklósi (ic)
Bachelor
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Active bachelor students: Rebeka Sóskuthy, Laura Tamási
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Graduated bachelor students: Ágoston Hunya, Kata Ferenc, Leila Gul, Klaudia Saru, Mónika Szabó, Réka Vajda, Bálint Vásárhelyi
Main research areas
Mobility of antimicrobial resistance genes
TFLink: an integrated gateway to access transcription factor - target gene interactions for multiple species
We created and maintain the TFLink database that uniquely provides comprehensive and highly accurate information on transcription factor - target gene interactions, nucleotide sequences and genomic locations of transcription factor binding sites for human and six model organisms. We integrated the results of small- and large-scale approaches from ten different databases.
Genomic epidemiology of the Hungarian Sars-CoV-2 genomes
MulEA: an R package to for functional enrichment analyses
We are developing the MulEA (Multi Enrichment Analysis) R package that is an extensive analytical tool using diverse databases (e.g. Gene ontology, pathways, miRNAs or protein domains) and provides statistical models and p-value correction procedures that can extend our understanding of the results of various high-throughput analyses. MulEA uniquely provides a permutation based, empirical false discovery rate correction of the p-values making the gene set overrepresentation analyses more reliable.