This work draws a visible boundary for data privacy with respect to Big Data in
bioinformatics. Defining Big Data boundary is a growing field where researchers have found …

In today's world, machine learning has become a big factor. It not only needs to be helpful,
but also accurate and precise prediction is required. Machine learning is now becoming a …

Genomic research has been highly prominent in recent times. Society has witnessed huge
progress in genomic research in the last decade. The amount of data generated due …

Genome analysis is a complex and challenging task that concerns the differences of an
individual's genetic makeup which requires advanced computational methods. In recent …

Background The recent big data revolution in Genomics, coupled with the emergence of
Deep Learning as a set of powerful machine learning methods, has shifted the standard …

Recent technological advancements and scientific discoveries have revolutionized the
current era of genomics. Next-generation sequencing (NGS) technologies have led to …

Many different types of problems have been solved using deep learning in recent pasts.
Deep learning techniques are useful for finding solutions to different types of data type's right …

Owing to the substantial volume of human genome sequence data files (from 30-200 GB
exposed) Genomic data compression has received considerable traction and storage costs …

Background The recent big data revolution in Genomics, coupled with the emergence of
Deep Learning as a set of powerful machine learning methods, has shifted the standard …

The internet is widening day by day followed by security issues related to it. There are many
approaches to achieve a secure cyber environment but still, there always exists room for the …