The possibility of being able to read an entire genome including the DNA or RNA of an organism could help obtain a better understanding of the health and disease conditions. According to the Garvan Institute of Medical Research and UNSW Sydney researchers, new genome analysis has been developed. This offline technique uses a computer algorithm to perform precise analysis with less computer memory usage compared to the present programs. The new algorithm may help possibly identify the various infectious diseases persistent in remote areas or hospitals. This new computational algorithmic device is the size of a smartphone.
The device is designed such that it can sequence an entire genome just like the MinION sequencers of Oxford Nanopore Technologies that has already been used to track the Zika virus in Brazil and the Ebola virus in New Guinea. The current smartphone-like device functions exactly the same way. The new device can develop terabyte of data in just 48 hours but its operation is limited due to the computational intensity in aligning and comparing the DNA obtained from an unknown sample with the reference genome in the database. To date, the process was easy to perform using high-performance computer workstations and an internet connection.
The team believes that the computational method can help lower the memory consumption while aligning the genomic sequences from 16GB to 2GBNow and in turn helps analysis to be completed on-the-spot using the available memory in the smartphone. The genomic technologies’ accessibility can help improve human health more. Though the technologies are getting smaller they can analyze more of data in real time. The smartphone device integrated the Minimap2 program that helps align the DNA sequence reads with a reference library of recognized genomes. The WHO is currently planning on putting forth a consortium so as to develop new policies for human genetic modifications based on the ethical and medical threats coupled with the genetic modifications carried out in the human genes.