Comparative studies of de novo assembly tools for next-generation sequencing technologies | Zendy

Yong Lin | Zendy; Jian Li | Zendy; Hui Shen | Zendy; Lei Zhang | Zendy; Christopher J. Papasian | Zendy; HongWen Deng | Zendy

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Comparative studies of de novo assembly tools for next-generation sequencing technologies

Author(s) -

Yong Lin,

Jian Li,

Hui Shen,

Lei Zhang,

Christopher J. Papasian,

HongWen Deng

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr319

Subject(s) - computer science , sequence assembly , set (abstract data type) , selection (genetic algorithm) , sequence (biology) , software , dna sequencing , data mining , machine learning , biology , operating system , programming language , gene , gene expression , genetics , transcriptome , dna , biochemistry

Several new de novo assembly tools have been developed recently to assemble short sequencing reads generated by next-generation sequencing platforms. However, the performance of these tools under various conditions has not been fully investigated, and sufficient information is not currently available for informed decisions to be made regarding the tool that would be most likely to produce the best performance under a specific set of conditions.

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