Functional characterization and annotation of trait-associated genomic regions by transcriptome analysis Du, Yang , 1983- Text theses Text Hochschulschrift 2014 2014 eng electronic resourceremoteComputermedienOnline-Ressourcetext/htmlapplication/pdfOnline-Ressource Ill., graph. Darst. In this work, two novel implementations have been presented, which could assist in the design and data analysis of high-throughput genomic experiments. An efficient and flexible tiling probe selection pipeline utilizing the penalized uniqueness score has been implemented, which could be employed in the design of various types and scales of genome tiling task. A novel hidden semi-Markov model (HSMM) implementation is made available within the Bioconductor project, which provides a unified interface for segmenting genomic data in a wide range of research subjects. vorgelegt von Yang Du Rostock, Univ., Fak. für Informatik und Elektrotechnik, Diss., 2014 572.8836 570 WC 7700 42.11 http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0196-0 http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0196-0&pdf http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0196-0 Functional characterization and annotation of trait-associated genomic regions by transcriptome analysis--(DE-627)806921439 urn:nbn:de:gbv:28-diss2014-0196-0 oclc: 935771522 ppn: (DE-627)812372174