New trends in bioinformatics: from genome sequence to personalized medicine.
Molecular medicine requires the integration and analysis of genomic, molecular, cellular, as well as clinical data and it thus offers a remarkable set of challenges to bioinformatics. Bioinformatics nowadays has an essential role both, in deciphering genomic, transcriptomic, and proteomic data generated by high-throughput experimental technologies, and in organizing information gathered from traditional biology and medicine. The evolution of bioinformatics, which started with sequence analysis and has led to high-throughput whole genome or transcriptome annotation today, is now going to be directed towards recently emerging areas of integrative and translational genomics, and ultimately personalized medicine.Therefore considerable efforts are required to provide the necessary infrastructure for high-performance computing, sophisticated algorithms, advanced data management capabilities, and-most importantly-well trained and educated personnel to design, maintain and use these environments. This review outlines the most promising trends in bioinformatics, which may play a major role in the pursuit of future biological discoveries and medical applications.
Institute of Biomedical Engineering and Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, Krenngasse 37, Graz, 8010, Austria.
Robert
R
Molidor
Alexander
A
Sturn
Michael
M
Maurer
Zlatko
Z
Trajanoski
D019295:Computational Biology / Q000379:methods / Q000592:standards / Q000639:trends*; D005826:Genetics, Medical / Q000639:trends*; D023281:Genomics / Q000379:methods / Q000639:trends*; D006801:Humans