COMPUTATIONAL VALIDATION AND ANALYSIS OF SEMI-QUANTITATIVE DATA USING IN-SILICO APPROACHES
- Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.
- Department of Molecular Biology, Cresent Biosciences, ICRAB Campus, Kanpur, Uttar Pradesh, India.
Abstract
With the advent use of computers in every daily life the computational approacheshas collaborative effort between biologists and computer scientists and thus covers a wide variety of traditionalcomputer science domains, including data retrieval, data integration,data cleaning, data modeling, data mining, data warehousing, data managing, ontologies, simulation, parallel computing, agent-based technology, grid computing, and visualization. However, applying each of these domains to biomolecular and biomedicalapplications raises specific and unexpectedly challenging research issues. This review is to provide life scientists and computer scientists with a complete view on biological data management byidentifying specificissues, presenting existing solutions from both academia and industry and providing a framework in which to compare thesesystems.
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How to Cite This Article
Sai Satya Sri Pulla, Vennela Chowdary Gullapalli, Pothuri Vishnu, Yaswanth Subhash Chowdary Pidikiti, Vignaya Maram, Nagini Narne, Prathika Shalom Kurapati, Jaswanth Kalyan Kasa and Reethika Singh Ranwas (2023); COMPUTATIONAL VALIDATION AND ANALYSIS OF SEMI-QUANTITATIVE DATA USING IN-SILICO APPROACHES, Int. J. of Adv. Res., 11 (11), 1060-1064, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/17910
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