Abstract
Bioinformatics Applications in Life Sciences and Technologies.
Highlights
Understanding the genetic control of complex dynamic traits is of fundamental importance to agricultural, evolutionary, and biomedical genetic research
These bioinformatics developments span from tools for genome annotation and function prediction, gene expression analyses, and databases of biological information, to the emerging fields of biomedical applications of research, including the development of new bioinformatics-based devices and predictive applications
The authors show by both theoretical proofs and simulation studies that earliness index (E-index) is more general than functional mapping and can be applied to any complex dynamic trait, even those with nonmonotonic curves
Summary
Understanding the genetic control of complex dynamic traits is of fundamental importance to agricultural, evolutionary, and biomedical genetic research. Life sciences researchers collect and analyse a high amount of different types of scientific data, including DNA, RNA, and amino acid sequences, in situ and microarray gene expression data, protein structures and biological pathways, and biological signals and images of diverse origin. A wealth of bioinformatics applications in the fields of basic and applied life sciences has changed the paradigm of both research and exploitation of knowledge.
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