ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies | Zendy

Scott Clark | Zendy; Rob Egan | Zendy; Peter I. Frazier | Zendy; Zhong Wang | Zendy

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ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies

Author(s) -

Scott Clark,

Rob Egan,

Peter I. Frazier,

Zhong Wang

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts723

Subject(s) - metagenomics , genome , sequence assembly , computational biology , reference genome , computer science , data mining , biology , genetics , gene , gene expression , transcriptome

Researchers need general purpose methods for objectively evaluating the accuracy of single and metagenome assemblies and for automatically detecting any errors they may contain. Current methods do not fully meet this need because they require a reference, only consider one of the many aspects of assembly quality or lack statistical justification, and none are designed to evaluate metagenome assemblies.

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