Project description:The goal of the proposed project is to generate high-quality detailed transcript and chromatin status datasets from a comprehensive set of bovine tissues, developmental stages, and cells through a set of rationally selected assays. Experimental data generated by the project have been analyzed using well-established bioinformatics software and pipelines to discover and annotate the functional elements of the bovine genome, including enhancers, promoters, insulators, and small and large RNA transcripts, among others. Datasets and findings will be made publicly available though database and genome information centers.
Project description:A new cost-effective ribosome profiling technique complements the functional genome annotation and reveals a key role of genic 3’ untranslated region in plant translatomic variation
Project description:A new cost-effective ribosome profiling technique complements the functional genome annotation and reveals a key role of genic 3’ untranslated region in plant translatomic variation
Project description:A new cost-effective ribosome profiling technique complements the functional genome annotation and reveals a key role of genic 3’ untranslated region in plant translatomic variation
Project description:A new cost-effective ribosome profiling technique complements the functional genome annotation and reveals a key role of genic 3’ untranslated region in plant translatomic variation
Project description:The skin commensal yeast Malassezia is associated with several skin disorders. To establish a reference resource, we sought to determine the complete genome sequence of Malassezia sympodialis and identify its protein-coding genes. A novel genome annotation workflow combining RNA sequencing, proteomics, and manual curation was developed to determine gene structures with high accuracy.