Georgia State University ScholarWorks @ Georgia State University Computer Science Dissertations Department of Computer Science Summer 8-12-2013 Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads Bassam A. Tork Georgia State University Follow this and additional works at: https://scholarworks.gsu.edu/cs_diss Recommended Citation Tork, Bassam A., "Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads." Dissertation, Georgia State University, 2013. https://scholarworks.gsu.edu/cs_diss/77 This Dissertation is brought to you for free and open access by the Department of Computer Science at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Computer Science Dissertations by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact
[email protected]. VIRAL QUASISPECIES RECONSTRUCTION USING NEXT GENERATION SEQUENCING READS by BASSAM TORK Under the Direction of Dr. Alexander Zelikovsky ABSTRACT The genomic diversity of viral quasispecies is a subject of great interest, especially for chronic infections. Characterization of viral diversity can be addressed by high-throughput sequencing technology (454 Life Sciences, Illumina, SOLiD, Ion Torrent, etc.). Standard assembly software was originally designed for single genome assembly and cannot be used to assemble and estimate the frequency of closely related quasispecies sequences. This work focuses on parsimonious and maximum likelihood models for assembling viral quasispecies