About the Project
The objective of this PhD project is to advance the discovery and exploitation of SVs in several key aquaculture species, including salmonids, tilapia and oysters. The project will take advantage of leading-edge methods developed for robust SV detection at the Roslin Institute, which have been successfully applied in fishes (Bertolotti et al. 2020) and livestock. The student will apply such methods using publicly available and unpublished whole genome sequencing datasets to catalogue novel SVs, improve SV detection accuracy, and develop imputation methods to type SVs at reduced cost.
We seek a student with a strong interest in genome biology and a first or minimum upper second-class degree in a relevant topic (e.g. genetics/genomics bioinformatics, computational biology), with preference given to candidates with a master’s degree. The student will receive training in advanced genomics analyses using a range of bioinformatics tools. There will be opportunities to present findings at national and international conferences, and to visit international collaborators for training and networking.
This opportunity is open to UK and international students and provides funding to cover stipend, tuition fees and consumable/travel costs. Applications including a statement of interest and full CV with names and addresses (including email addresses) of two academic referees, should be emailed to [Email Address Removed].
When applying for the studentship please state clearly the project title/s and the supervisor/s in your covering letter.
Other projects available:
We would encourage applicants to list up to three projects of interest (ranked 1st, 2nd and 3rd choice) from those listed with a closing date of 10th January 2021 at https://www.ed.ac.uk/roslin/work-study/postgraduate/studentships
Dutta P, Talenti A, Young R, Jayaraman S, Callaby R, Jadhav SK, Dhanikachalam V, Manikandan M, Biswa BB, Low WY, Williams JL, Cook E, Toye P, Wall E, Djikeng A, Marshall K, Archibald AL, Gokhale S, Kumar S, Hume DA, Prendergast JGD. Whole genome analysis of water buffalo and global cattle breeds highlights convergent signatures of domestication. Nat Commun. 2020 Sep 21;11(1):4739. doi: 10.1038/s41467-020-18550-1. PMID: 32958756
Ho SS, Urban AE, Mills RE. Structural variation in the sequencing era. Nat Rev Genet. 2020 Mar;21(3):171-189. doi: 10.1038/s41576-019-0180-9. Epub 2019 Nov 15. PMID: 31729472; PMCID: PMC7402362.
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