The enormous growth in the amount of data generated by the life sciences is continuously
shifting the field from model-driven science towards data-driven science. The need for …

Fast and accurate climate simulations and weather predictions are critical for understanding
and preparing for the impact of climate change. Real-world climate and weather simulations …

High-throughput sequencing (HTS) technologies have revolutionized the field of genomics,
enabling rapid and cost-effective genome analysis for various applications. However, the …

Basecalling, an essential step in many genome analysis studies, relies on large Deep
Neural Network s (DNN s) to achieve high accuracy. Unfortunately, these DNN s are …

Nanopore sequencers generate electrical raw signals in real-time while sequencing long
genomic strands. These raw signals can be analyzed as they are generated, providing an …

Basecalling is an essential step in nanopore sequencing analysis where the raw signals of
nanopore sequencers are converted into nucleotide sequences, ie, reads. State-of-the-art …

Metagenomics has led to significant advances in many fields. Metagenomic analysis
commonly involves the key tasks of determining the species present in a sample and their …

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 …

Long-Short-Term Memory (LSTM) neural networks have demonstrated exceptional
proficiency in capturing both short-term and long-term dependencies within input …