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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Lin Andrew

Department of Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

Publications
  • Mini Review   
    From Genomics to Systems Biology: Computational Tools Driving Biological Discovery
    Author(s): Lin Andrew*

    The advent of high-throughput technologies in genomics has revolutionized our ability to study biological systems at the molecular level. However, the sheer volume and complexity of genomic data present significant challenges for analysis and interpretation. In response, computational tools and methodologies have emerged as indispensable assets in the field of systems biology. This manuscript explores the pivotal role of computational tools in driving biological discovery, from genomics to systems biology. By integrating data-driven approaches with mathematical modelling and simulation techniques, computational tools enable researchers to uncover hidden patterns, elucidate biological mechanisms, and gain insights into the dynamic behavior of living systems. Through interdisciplinary collaboration and innovation, computational tools continue to accelerate the pa.. Read More»
    DOI: 10.37421/0974-7230.2024.17.525

    Abstract HTML PDF

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

Journal of Computer Science & Systems Biology peer review process verified at publons

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