Speaker
Description
The study of major biomolecules within cells, such as DNA, RNA, proteins,
and metabolites, has led to the emergence of various omics disciplines (genomics,
transcriptomics, proteomics, metabolomics) that generate vast volumes of data, known
as big omics data. Managing, analyzing, interpreting, sharing, and integrating this data
presents significant challenges in bioinformatics. This field leverages interdisciplinary
expertise – spanning molecular biology, computer science, genetics, applied mathematics,
and statistics – to extract valuable insights and advance our understanding of complex
biological systems.
Advances in DNA (genomics) and RNA (transcriptomics) sequencing technologies
have revolutionized our ability to investigate genome organization and gene expression
across a wide range of agriculturally important species. Understanding genomic sequences
is vital for basic research, providing access to genes and the regulatory elements
that govern their activity. This knowledge is crucial for studying development,
adaptation, and stress responses, exploring genetic diversity, and pinpointing the genetic
foundations of complex traits.
In plant breeding, bioinformatics plays a key role in genome-driven selection, enabling
the identification of optimal allele combinations to achieve desired phenotypes
(ideotypes). This discipline is at the forefront of the third green revolution, characterized
by cutting-edge biotechnologies such as genome editing and knowledge-based
breeding by design, all powered by the vast potential of big data.
| Department | Agricultural Sciences |
|---|
