Abstract
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.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 15 Jul 2020 |
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| Publication status | Unpublished - 2020 |
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