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Polymerase chain reaction (PCR) has long been the mainstay in genetic sequencing and identification. Irrespective of whether short read or long read technologies are adopted, PCR methods are generally time consuming and expensive. Recently, an all-electronic approach, the so-called Single Molecule Break Junction (SMBJ) method, has been proposed as a possible alternative to PCR. In this article, we evaluate the performance of four different classifier models on the current signatures of ten short strand sequences, including a pair that differs by a single mismatch. We find that a gradient boosted tree classifier model achieves impressive accuracies, ranging from approximately 96% for molecules differing by a single mismatch to 99.5% otherwise. 

Deoxyribonucleic acid (DNA) has emerged as a promising building block for designing next-generation ultra-high density storage devices. Although DNA is highly durable and extremely high density in nature, its potential as the basis of storage devices is currently hindered by limitations such as expensive and complex fabrication processes and time-consuming read-write operations. In this article, we propose the use of a DNA crossbar array architecture for an electrically-readable Read-Only Memory (DNA-ROM). For DNA-ROM, we have chosen two DNA strands for representing Bit 1 and Bit 0 respectively. DNA charge transport has been studied through a contact-DNA-contact setup. The results obtained from the DNA charge transport study have been used to analyze the crossbar array. The performance has been analyzed by loading an image onto a 128×128 crossbar. For this application, we have observed a bit error rate of 4.52% and power consumption of 6.75 µW.