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amkilar/README.md

Agata M. Kilar Ph.D. 🎓

Computational biologist working on RNA discovery, homology detection, and comparative genomics

I study how functional RNAs and other conserved sequence elements can be discovered from genomic data using computational approaches. My work combines comparative genomics, homology search, evolutionary models, covariance-based analyses, and large-scale bioinformatics pipelines to identify biological signals that are difficult to detect from sequence similarity alone.

Academic path:

  • Postdoctoral Associate, TBI Vienna — with Ivo Hofacker
    Working on computational methods for identifying conserved functional elements in biological sequences.

  • Postdoctoral Researcher, Harvard University — with Elena Rivas
    Focused on homology detection and the development of eHMMER, a method for improving remote homology searches using evolutionary models.

  • Ph.D., Masaryk University, Brno — with Jiří Fajkus
    Worked on the discovery and characterization of telomerase RNA across diverse plant lineages.

Selected publications:

  • Evolution of plant telomerase RNAs: farther to the past, deeper to the roots. • A. M. Kilar & P. Fajkus, et al. - more
  • GERONIMO: A Tool for Systematic Retrieval of Structural RNAs in Broad Evolutionary Context • A. M. Kilar, et al. - more

Pinned Loading

  1. GERONIMO GERONIMO Public

    GERONIMO: GEnomic RNA hOmology aNd evolutIonary MOdeling

    R 5