Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler

• Main Authors: Shepard, S.S, Meno, S, Bahl, J, Wilson, M.M, Barnes, J, Neuhaus, E
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: 2020
• Subjects: Article; controlled study; deep sequencing; Ebolavirus; gene sequence; genetic variability; high throughput sequencing; Influenza virus; next generation sequencing; nonhuman; software; virus assembly; virus genome; algorithm; biology; DNA sequence; genetics; human; procedures; sequence analysis; virus; Algorithms; Computational Biology; Genome, Viral; High-Throughput Nucleotide Sequencing; Humans; Sequence Analysis, DNA; Sequence Analysis, RNA; Software; Viruses
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/181343
• Institution: National University of Singapore

10.1186/s12864-016-3030-6