Chloroplast genome data is useful for phylogenetic analyses, for species identification and for tracing evolutionary adaptations. Current sequencing technology enables us to obtain complete plastome on a large scale. The aim of this study was to develop robust computational plastome assembly and annotation tools and databases. In particular, a novel annotation algorithm was developed to address challenges in plastome annotation. The annotation software Chloe (https://chloe.plantenergy.edu.au) was used to re-annotate the ~4000 available plastomes of land plants in GenBank, and annotate the newly assembled plastomes. These newly developed tools and databases are valuable resources for future studies in chloroplast genomics.
|Qualification||Doctor of Philosophy|
|Award date||15 Jul 2020|
|Publication status||Unpublished - 2020|