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Scaffolding Genomes with Paired Sequencing Data: Insights and Applications

This research presents innovative methods for scaffolding genomes using paired sequencing data, emphasizing the collaborative work of researchers from the University of Connecticut and Georgia State University. The study explores various approaches to improve genome assembly accuracy and efficiency, utilizing advanced computational techniques. Key findings highlight the effectiveness of these methodologies in enhancing genomic analysis, which can significantly aid in evolutionary studies, disease research, and biotechnology applications. The integration of interdisciplinary knowledge leads to promising advancements in genomic sciences.

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Scaffolding Genomes with Paired Sequencing Data: Insights and Applications

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  1. Scaffolding Draft Genomes Using Paired Sequencing Data • James Lindsay, Jin Zhang, Thomas Farnham, Yufeng Wu, Rachel O’Neill, Ion Mandoiu (University of Connecticut) • Edward Bullwinkel, HamedSalooti, Alex Zelikovsky (Georgia State University)

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