An understanding of the larger picture of a biological event is possible today owing to the support of technological advancement (high-throughput techniques), computational prowess in storing (big-data) and analyzing (A.I.) methods.
The outcomes of such data-driven analysis can end as either conclusive numbers (static) or as models (dynamic) tested with statistical methods. A continuous rather than a discrete understanding provides a highly tunable option when it comes to exploiting the derived knowledge rather efficiently.
Systems Biology - the theme of the seminar is explored at various levels from handling large data to model development. The implications of such a bird's eye view provides solutions that were previously unimaginable in the era of reductionist biology.
The scope of this seminar is far-reaching and futuristic given the technology-dependent scientific world we are in. The students belonging to basic and applied sciences & technology irrespective of the discipline will benefit from the lectures by leaders in their field of specialization. The undergrads can get introduced to this new world of "Systems Approach" to biology, while post graduates and doctoral candidates can identify plausible research implications in the areas they work as systems biology integrates almost all areas (mathematicians to botanists to engineers) of modern science.