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The Long March: A Sample Preparation Technique that Enhances Contig Length and Coverage by High-Throughput Short-Read Sequencing

Overview of attention for article published in PLOS ONE, October 2008
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Title
The Long March: A Sample Preparation Technique that Enhances Contig Length and Coverage by High-Throughput Short-Read Sequencing
Published in
PLOS ONE, October 2008
DOI 10.1371/journal.pone.0003495
Pubmed ID
Authors

Katherine Sorber, Charles Chiu, Dale Webster, Michelle Dimon, J. Graham Ruby, Armin Hekele, Joseph L. DeRisi

Abstract

High-throughput short-read technologies have revolutionized DNA sequencing by drastically reducing the cost per base of sequencing information. Despite producing gigabases of sequence per run, these technologies still present obstacles in resequencing and de novo assembly applications due to biased or insufficient target sequence coverage. We present here a simple sample preparation method termed the "long march" that increases both contig lengths and target sequence coverage using high-throughput short-read technologies. By incorporating a Type IIS restriction enzyme recognition motif into the sequencing primer adapter, successive rounds of restriction enzyme cleavage and adapter ligation produce a set of nested sub-libraries from the initial amplicon library. Sequence reads from these sub-libraries are offset from each other with enough overlap to aid assembly and contig extension. We demonstrate the utility of the long march in resequencing of the Plasmodium falciparum transcriptome, where the number of genomic bases covered was increased by 39%, as well as in metagenomic analysis of a serum sample from a patient with hepatitis B virus (HBV)-related acute liver failure, where the number of HBV bases covered was increased by 42%. We also offer a theoretical optimization of the long march for de novo sequence assembly.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 3 3%
Brazil 3 3%
France 2 2%
Norway 1 <1%
India 1 <1%
Germany 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Other 2 2%
Unknown 84 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 33%
Student > Ph. D. Student 25 25%
Student > Master 11 11%
Student > Postgraduate 5 5%
Student > Bachelor 4 4%
Other 16 16%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 57%
Medicine and Dentistry 12 12%
Biochemistry, Genetics and Molecular Biology 12 12%
Computer Science 3 3%
Nursing and Health Professions 1 <1%
Other 5 5%
Unknown 11 11%