Inference of Genomic Landscapes using Ordered Hidden Markov Models with Emission Densities (oHMMed)
Claus Vogl, Mariia Karapetiants, Buŗcin Yıldırım, Hrönn Kjartansdóttir, Carolin Kosiol, Juraj Bergman, Michal Majka, Lynette Caitlin Mikula
The paper introduces oHMMed, a Hidden Markov Model for genomic segmentation, and applies it to analyze base composition, gene density, and chromatin features across multiple species.
BMC Bioinformatics · Apr 16, 2024Peer-reviewedBioinformatics