Major computational challenges exist in relation to the collection, curation, processing and
analysis of large genomic and imaging datasets, as well as the simulation of larger and …

The field of healthcare has seen a rapid increase in the applications of data analytics during
the last decades. By utilizing different data analytic solutions, healthcare areas such as …

Artificial intelligence helps in tracking and preventing diseases. For instance, machine
learning algorithms can analyze big genomic data and predict genes, which helps …

Analogy-based effort estimation is the major task of software engineering which estimates
the effort required for new software projects using existing histories for corresponding …

Internet cloud services come at a price, especially when they provide top-tier security
measures. The cost incurred by cloud utilization is directly proportional to the storage …

Bioinformatics research is regarded as an area which encompasses voluminous, expanding
and complex datasets. Nowadays, with the use of high-throughput next-generation …

Noncoding RNAs (ncRNAs) include different types of molecules which are not involved in
the coding of proteins. Globally, different types of research are going on with ncRNAs in …

The amount of biological data available for both the academic community and industry has
increased due to the rise of high throughput omics technologies, biotechnology, and health …

Staphylococcus aureus is a notorious pathogen posing challenges in the medical industry
due to drug resistance and biofilm formation. The horizon of knowledge on S. aureus …

In this thesis, we focus on the hardware acceleration of two representative applications of
modern healthcare: a ML-based prediction analysis and Read Alignment of genomic data …