GC bias affects genomic and metagenomic reconstructions, underrepresenting GC-poor organisms | Zendy

Patrick Browne | Zendy; Tue Kjærgaard Nielsen | Zendy; Witold Kot | Zendy; Anni Aggerholm | Zendy; M. Thomas P. Gilbert | Zendy; Lara Puetz | Zendy; Morten Rasmussen | Zendy; Athanasios Zervas | Zendy; Lars Hestbjerg Hansen | Zendy

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GC bias affects genomic and metagenomic reconstructions, underrepresenting GC-poor organisms

Author(s) -

Patrick Browne,

Tue Kjærgaard Nielsen,

Witold Kot,

Anni Aggerholm,

M. Thomas P. Gilbert,

Lara Puetz,

Morten Rasmussen,

Athanasios Zervas,

Lars Hestbjerg Hansen

Publication year - 2020

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giaa008

Subject(s) - metagenomics , computational biology , biology , evolutionary biology , data science , computer science , genetics , gene

Metagenomic sequencing is a well-established tool in the modern biosciences. While it promises unparalleled insights into the genetic content of the biological samples studied, conclusions drawn are at risk from biases inherent to the DNA sequencing methods, including inaccurate abundance estimates as a function of genomic guanine-cytosine (GC) contents.

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