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Opportunities and challenges in long-read sequencing data analysis.

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.

SUBMITTER: Amarasinghe SL

PROVIDER: S-EPMC7006217 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Opportunities and challenges in long-read sequencing data analysis.

Amarasinghe Shanika L SL Su Shian S Dong Xueyi X Zappia Luke L Ritchie Matthew E ME Gouil Quentin Q

Genome biology 20200207 1

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 fac ...[more]

PMID: 32033565

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