Volume : 5, Issue : 12, December - 2016

Bio Analytics - A Big Data Analytics on Disease Identification Using Pathology

R. N. V. Jagan Mohan, Y. Vamsidhar, Thota Mohana Lakshmi Tulasi

Abstract :

<p>&nbsp;<span style="text-align: justify; font-size: 10pt; line-height: 150%;">Genome based Disease Identification data is in volumes and also increased exponentially, unrelatedly of whether it is phenotype data namely genetic data. It&rsquo;s derived from various sources and has gigantic diversities is lively and heterogeneous. Therefore, it can be characterized as Big Data. Then, all the aspects of Big Data Analytics can be applied in the field of Bio-Analytics. The author interests w</span><span style="text-align: justify; font-size: 10pt; line-height: 150%; color: rgb(37, 37, 37); background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">ith the initiation of pathology laboratory techniques such </span><span style="text-align: justify; font-size: 10pt; line-height: 150%; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">as<span class="apple-converted-space">&nbsp;</span></span><a href="https://en.wikipedia.org/wiki/DNA_Sequencing#High-throughput_sequencing" title="DNA Sequencing" style="text-align: justify;"><span style="font-size: 10pt; line-height: 150%; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">high throughput data sequencing</span></a><span class="apple-converted-space" style="text-align: justify;"><span style="font-size: 10pt; line-height: 150%; color: rgb(37, 37, 37); background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">&nbsp;</span></span><span style="text-align: justify; font-size: 10pt; line-height: 150%; color: rgb(37, 37, 37); background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">and software capable of genome-wide analysis, sequence gaining has become increasingly less expensive and time-consuming. Therefore, it&rsquo;s providing an important helps to science in the form of well-organized in the disease gene identification technique. The experimental results, bio analytics is a big data analytics on clinical pathology of identification of disease detection.</span></p> <p class="MsoNormal" style="text-align:justify;line-height:150%"><span style="font-size: 10pt; line-height: 150%; color: rgb(37, 37, 37); background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;"><o:p></o:p></span></p>