DMD:DNA alignment in memory constrained device

Genome analysis plays a vital role in the treatment of patients, forensic science as well as historical gatherings. Advancements in the sequencing technologies such as Third Generation Sequencing (TGS) and High Throughput Sequencing (HTS) have resulted in accelerated genome sequencing. However, genome analysis remains slower in comparison to advanced sequencing technology. The aforementioned constraints are addressed in this paper by designing a secured, scalable, economical, compact and internet-independent system for secured DNA alignment. In this work, a novel architecture has been presented for miniature system utility characterized by limited processing capabilities exploiting its constrained memory against a partial reference genome. Optimising memory communication and applying distributed computing resulted in the implementation of such big data application on SWARAM, an ARM-based computation device. In this paper, we extended our previous publication by optimising in-memory communications and algorithms on SWARAM to align reads securely and efficiently. NA12878 Illumina platinum, a standard benchmark dataset has been used to test reads extensively. The test confirmed that the time consumption for data transfer and completion of reads securely processing on a single ODROID device was competitive to one unit of the original SWARAM system.