@phdthesis{Sin2016,
  author    = {Sin, Celine},
  title     = {Post-transcriptional control of gene expression},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-102469},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xxv, 238},
  year      = {2016},
  abstract  = {Gene expression describes the process of making functional gene products (e.g. proteins or special RNAs) from instructions encoded in the genetic information (e.g. DNA). This process is heavily regulated, allowing cells to produce the appropriate gene products necessary for cell survival, adapting production as necessary for different cell environments. Gene expression is subject to regulation at several levels, including transcription, mRNA degradation, translation and protein degradation. When intact, this system maintains cell homeostasis, keeping the cell alive and adaptable to different environments. Malfunction in the system can result in disease states and cell death. In this dissertation, we explore several aspects of gene expression control by analyzing data from biological experiments. Most of the work following uses a common mathematical model framework based on Markov chain models to test hypotheses, predict system dynamics or elucidate network topology. Our work lies in the intersection between mathematics and biology and showcases the power of statistical data analysis and math modeling for validation and discovery of biological phenomena.},
  language  = {en}
}