Bioinformatics research group
Group leader: Eszter Ari
Active PhD students: Tamás Kadlecsik (50%), Dániel Gerber (50%), Balázs Bohár (50%), András Asbóth (50%)
Graduated PhD students: Amanda Demeter (50%)
Active master students: Ágoston Hunya
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), Gergely Tarján (ic)
Active bachelor students: Krisztina Martonosi, Emese Orosz
Graduated bachelor students: Ágoston Hunya, Kata Ferenc, Leila Gul, Klaudia Saru, Mónika Szabó, Réka Vajda, Rebeka Sóskuthy, Laura Tamási, Bálint Vásárhelyi
Main research areas
Investigating the mobility of antimicrobial resistance genes
Creating and maintaining the TFLink database, 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. We published our results in the Database journal.
Investigating the genomic epidemiology of the Hungarian SARS-CoV-2 genomes
Developing an R package, called mulea 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.