Opportunities and challenges in long-read sequencing data analysis Academic Article uri icon

abstract

  • Long-read technologies are overcoming early limitations in accuracy and throughput, broadening their application domains in genomics. Dedicated analysis tools that take into account the characteristics of long-read data are thus required, but the fast pace of development of such tools can be overwhelming. To assist in the design and analysis of long-read sequencing projects, we review the current landscape of available tools and present an online interactive database, long-read-tools.org, to facilitate their browsing. We further focus on the principles of error correction, base modification detection, and long-read transcriptomics analysis and highlight the challenges that remain.

authors

  • Amarasinghe, Shanika L
  • Su, Shian
  • Dong, Xueyi
  • Zappia, Luke
  • Ritchie, Matthew E
  • Gouil, Quentin

publication date

  • 2020