Dissertation
An exploration of transcriptome data for the study of crustacean endocrinology
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2020
DOI:
https://doi.org/10.25907/00475
Abstract
The advent of affordable next-generation sequencing (NGS) technologies has sparked a huge increase in the production of genomics data in recent years. Transcriptome sequencing in particular has granted access to an ever-expanding range of species, with each dataset representing a particular biological context. The latter feature of transcriptome data stems from the generation of not only sequence data from transcriptome analysis, which can be regarded as relatively static within a species, but also gene expression data, which is incredibly dynamic.
Historically, gene expression has been immensely important for describing the behaviour of genes within an organism, but until now the production of this data has been very labour-intensive, always limited to a set of premeditated candidate genes. Transcriptome sequencing, on the other hand, provides immediate access to every expressed gene – known or otherwise – within a biological sample. Most excitingly, the development of de novo assembly algorithms has allowed thistechnology to be applied to new and unexplored species. As the potential for knowledge expands across the taxonomic landscape, we can begin to explore the mechanics some of nature’s more unique and enigmatic creatures and, in doing so, take advantage of the unique biological contexts that they offer.
Details
- Title
- An exploration of transcriptome data for the study of crustacean endocrinology
- Authors
- Cameron Hyde
- Contributors
- Tomer Ventura (Supervisor) - University of the Sunshine Coast, Queensland, School of Science and Engineering - LegacyAbigail Elizur (Supervisor) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - LegacyQuinn Fitzgibbon (Supervisor)
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00475
- Organisation Unit
- School of Science and Engineering - Legacy; School of Education and Tertiary Access; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99469108902621
- Output Type
- Dissertation
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