Nucleic acid sequencing is the process of identifying the sequence of DNA or RNA, with DNA used for genomes and RNA for transcriptomes. Deciphering this information has the potential to greatly advance our understanding of genomic features and cellular functions. In comparison to other available sequencing methods, nanopore sequencing stands out due to its unique advantages of processing long nucleic acid strands in real time, within a small portable device, enabling the rapid analysis of samples in diverse settings. Evolving over the past decade, nanopore sequencing remains in a state of ongoing development and refinement, resulting in persistent challenges in protocols and technology. This article employs an interdisciplinary approach, evaluating experimental and computational methods to address critical gaps in our understanding in order to maximise the information gain from this advancing technology. We present a robust analysis of all aspects of nanopore sequencing by providing statistically supported insights, thus aiming to provide comprehensive guidelines for the diverse challenges that frequently impede optimal experimental outcomes.Here we present a robust analysis, bridging the gap by providing statistically supported insights into genomic and transcriptomic studies, providing fresh perspectives on sequencing.