Computational and Systems Biology
Biological systems are intricate and fascinating, with many pieces working together to sustain life. Computational and Systems Biology combines computer science, biology, and engineering to put those pieces together and understand how they interact and change in response to different conditions and over time. By using computational methods to analyze biological data, researchers can identify patterns in large datasets that would be difficult to detect using traditional methods and discover new disease biomarkers and optimize treatments.
iSTARS aims to help researchers unlock the true potential of their data, by developing algorithms and software to extract valuable information. This will improve the quality and robustness of scientific research and contribute to advancements in our understanding of health and disease.
Biological systems are intricate and fascinating, with many pieces working together to sustain life. Computational and Systems Biology combines computer science, biology, and engineering to put those pieces together and understand how they interact and change in response to different conditions and over time. By using computational methods to analyze biological data, researchers can identify patterns in large datasets that would be difficult to detect using traditional methods and discover new disease biomarkers and optimize treatments.
iSTARS aims to help researchers unlock the true potential of their data, by developing algorithms and software to extract valuable information. This will improve the quality and robustness of scientific research and contribute to advancements in our understanding of health and disease.
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