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an integrated pipeline for de novo assembly of microbial genomes一个集成的管道为新创微生物基因组的组装
An Integrated Pipeline for de Novo Assembly of
Microbial Genomes
1 1,2,3 1,4 1
Andrew Tritt , Jonathan A. Eisen , Marc T. Facciotti , Aaron E. Darling *
1 Genome Center, University of California Davis, Davis, California, United States of America, 2 Department of Evolution and Ecology, University of California Davis, Davis,
California, United States of America, 3 Department of Medical Microbiology and Immunology, University of California Davis, Davis, California, United States of America,
4 Department of Biomedical Engineering, University of California Davis, Davis, California, United States of America
Abstract
Remarkable advances in DNA sequencing technology have created a need for de novo genome assembly methods tailored
to work with the new sequencing data types. Many such methods have been published in recent years, but assembling raw
sequence data to obtain a draft genome has remained a complex, multi-step process, involving several stages of sequence
data cleaning, error correction, assembly, and quality control. Successful application of these steps usually requires intimate
knowledge of a diverse set of algorithms and software. We present an assembly pipeline called A5 (Andrew And Aaron’s
Awesome Assembly pipeline) that simplifies the entire genome assembly process by automating these stages, by
integrating several previously published algorithms with new algorithms for quality control and automated assembly
parameter selection. We demonstrate that A5 can produce assemblies of quality comparable to a leading assembly
algorithm, SOAPdenovo, without any prior knowledge of the particular genome being assembled and without the extensive
parameter tuning required by the o
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