In spite of the insight commonality may have concerning agrarian practice, fact is that
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …

In recent decades, in silico absorption, distribution, metabolism, excretion (ADME), and
toxicity (T) modelling as a tool for rational drug design has received considerable attention …

Voluminous amounts of data have been produced, since the past decade as the
miniaturization of Internet of things (IoT) devices increases. However, such data are not …

RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript
quantification. However, publicly available RNA-seq data is currently provided mostly in raw …

Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly
generate a plethora of data on the activity and levels of biomolecules within mammalian …

The rapid growth of emerging applications and the evolution of cloud computing
technologies have significantly enhanced the capability to generate vast amounts of data …

Drug-target interaction (DTI) is the basis of drug discovery. However, it is time-consuming
and costly to determine DTIs experimentally. Over the past decade, various computational …

One of the central tasks of genome research is to predict phenotypes and discover some
important gene biomarkers. However, there are three main problems in analyzing genomics …

Abstract The Library of Integrated Network-based Cellular Signatures (LINCS) program is a
national consortium funded by the NIH to generate a diverse and extensive reference library …

Biomedical data is accumulating at a fast pace and integrating it into a unified framework is a
major challenge, so that multiple views of a given biological event can be considered …