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Efficient Alignment Algorithms For Dna Sequencing Data, Nilesh Vinod Khiste
Efficient Alignment Algorithms For Dna Sequencing Data, Nilesh Vinod Khiste
Electronic Thesis and Dissertation Repository
The DNA Next Generation Sequencing (NGS) technologies produce data at a low cost, enabling their application to many ambitious fields such as cancer research, disease control, personalized medicine etc. However, even after a decade of research, the modern aligners and assemblers are far from providing efficient and error free genome alignments and assemblies respectively. This is due to the inherent nature of the genome alignment and assembly problem, which involves many complexities. Many algorithms to address this problem have been proposed over the years, but there still is a huge scope for improvement in this research space.
Many new genome …
Microbial Repopulation Following In Situ Star Remediation, Gavin Overbeeke
Microbial Repopulation Following In Situ Star Remediation, Gavin Overbeeke
Electronic Thesis and Dissertation Repository
In situ STAR (Self-sustaining Treatment for Active Remediation) is an emerging remediation technology which uses smouldering combustion to destroy nonaqueous phase liquid (NAPL) contamination in the subsurface. Since STAR smouldering travels through contaminated soils slowly (~0.5 to 5 m/day) and subjects them to high temperatures (400–1000°C), it is expected that this technology will thoroughly dry and sterilize the zones which it treats. Further, soils surrounding the treatment zone which are not smouldered will be heated, although not smouldered, by virtue of their proximity to STAR, impacting microbial communities within them. Therefore, the objectives of this work are to quantify the …