Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …

Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …

Functional annotation of protein sequence with high accuracy has become one of the most
important issues in modern biomedical studies, and computational approaches of …

Transposable elements are repetitive and mobile DNA segments that can be found in
virtually all organisms investigated to date. Their complex structure and variable nature are …

Opsin proteins are fundamental components of animal vision whose structure largely
determines the sensitivity of visual pigments to different wavelengths of light. Surprisingly …

Introgression is an important biological process affecting at least 10% of the extant species
in the animal kingdom. Introgression significantly impacts inference of phylogenetic species …

Reconstructing the phylogenetic relationships between species is one of the most
formidable tasks in evolutionary biology. Multiple methods exist to reconstruct phylogenetic …

Identification of protein-coding and non-coding transcripts is paramount for understanding
their biological roles. Computational approaches have been addressing this task for over a …

In-line inspection (ILI) is critical to pipeline integrity management program in oil and gas
industry. The corrosion leading to potential pipe leakage and failure needs to be detected …

Sesame, one of the ancient oil crops, is an important oilseed due to its nutritionally rich
seeds with high protein content. Genomic scale information for sesame has become …