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Presented here are the tools and strategies implemented for short-read SV discovery (Chapter 3), a population genomics study (Chapter 4) and genome graph construction (Chapter 5).

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Challenges and Opportunities for Integrating Structural Variants into Conservation Genomics

Presented here are the scripts used for data analyses in each data chapter of my thesis. Within each directory is a brief overview of chapter contents and details about each of the tools used. In recognition of Indigenous Data sovereignty of data related to culturally significant species, any sample IDs have been redacted from these scripts.

For a brief outline of chapter contents:

Chapter 3: The promise and challenges of structural variant discovery in the critically endangered kākāpō (Strigops habroptilus)

A nearly complete short-read resequence data set and high quality reference genome were used to investigate structual variantion (SVs) in the critically endangered kākāpō (Strigops habroptilus). Structural variants were called using the Delly, Manta and SMOOVE pipelines.

Chapter 4: Incorporating structural variants into the conservation management of Aotearoa New Zealand's most threatened breeding bird, tara iti (Sternula nereis davisae)

Whole-genome short-read resequence data were aligned to the chromosomally assembled reference genome for the common tern (Sterna hirundo) to explore relative levels of population diversity and differentiation for two fairy tern taxa.

Chapter 5: The promise of genome graphs as a conservation genomics resource for the critically endangered kākāpō (Strigops habroptilus)

Long-read Oxford Nanopore sequence data was used for de novo genome assembly. Genomes were assembled using FLYE v2.8.3. Graphs were constructed using pggb v0.2.0, and odgi v0.6.3.

Publications

Publications associated with this thesis include: Published Perspective in the Molecular Ecology Special Isl: Whole-genome sequencing in molecular ecology 2021.

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Presented here are the tools and strategies implemented for short-read SV discovery (Chapter 3), a population genomics study (Chapter 4) and genome graph construction (Chapter 5).

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