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Tak, Akshay (2017) Pattern detection in genomic data for mutation in nucleotide sequences. Masters thesis, Dublin, National College of Ireland.
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Abstract
As the implementation of sequencing technologies increases, the data generated using the traditional NGS methods gets more and more high definition. This restricts the processing capabilities to a certain extent specially in terms of time. Another important aspect that comes into picture is the propensity for the usage of this data. This research aims at working on both these platforms. The idea is to use an approach to analyze a small part of the data in the genome and use it to detect genetic similarities in the form of A,G,T,C patterns. Along with this pattern matching by parsing the data, this research will also focus on the time taken for these processes as that is another big concern of the genomics big data. All this will be executed and the results based on small segments of the data in a big data environment using big data processing resources have been made to ensure that this research is ready to migrate to the batch processing in cloud with future aspects of real time data in the same (which is beyond the scope of the time frame of this research).
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Caoimhe Ní Mhaicín |
| Date Deposited: | 22 Nov 2017 09:47 |
| Last Modified: | 22 Nov 2017 09:47 |
| URI: | https://norma.ncirl.ie/id/eprint/2885 |
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