The omics sciences have revolutionized research in areas such as
biology, biotechnology, medicine, and agri-food sciences. At the same
time, the production of large-scale data has led to strong demand for
appropriate computational tools for their management, analysis, and
interpretation. With the era of Big Data, this need has further
expanded. The use of artificial intelligence is now widespread in the
biomedical field. Of enormous impact are recent developments in the
field of protein three-dimensional structure prediction, an area that
seemed to be tractable only with experimental techniques, which
nevertheless showed many limitations. The prospects for application in
all areas of molecular biology, genomics, and omics sciences are thus
now a reality.
Following up on the Research Topic already carried out in past years, a
new collection of articles is proposed, to present new bioinformatics
tools and computational approaches to the analysis of omics data, or the
application of existing tools, toward a more complete interpretation of
biological phenomena, with applications in personalized medicine and
biotechnology.
The omics sciences have revolutionized research in areas such as
biology, biotechnology, medicine, and agri-food sciences. At the same
time, the production of large-scale data has led to strong demand for
appropriate computational tools for their management, analysis, and
interpretation. With the era of Big Data, this need has further
expanded. The use of artificial intelligence is now widespread in the
biomedical field. Of enormous impact are recent developments in the
field of protein three-dimensional structure prediction, an area that
seemed to be tractable only with experimental techniques, which
nevertheless showed many limitations. The prospects for application in
all areas of molecular biology, genomics, and omics sciences are thus
now a reality.
Following up on the Research Topic already carried out in past years, a
new collection of articles is proposed, to present new bioinformatics
tools and computational approaches to the analysis of omics data, or the
application of existing tools, toward a more complete interpretation of
biological phenomena, with applications in personalized medicine and
biotechnology.