long-read-tools.org: an interactive catalogue of analysis methods for long-read sequencing data | Zendy

Shanika L. Amarasinghe | Zendy; Matthew E. Ritchie | Zendy; Quentin Gouil | Zendy

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long-read-tools.org: an interactive catalogue of analysis methods for long-read sequencing data

Author(s) -

Shanika L. Amarasinghe,

Matthew E. Ritchie,

Quentin Gouil

Publication year - 2021

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giab003

Subject(s) - computer science , information retrieval , data science , computational biology , data mining , bioinformatics , biology

The data produced by long-read third-generation sequencers have unique characteristics compared to short-read sequencing data, often requiring tailored analysis tools for tasks ranging from quality control to downstream processing. The rapid growth in software that addresses these challenges for different genomics applications is difficult to keep track of, which makes it hard for users to choose the most appropriate tool for their analysis goal and for developers to identify areas of need and existing solutions to benchmark against.

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