Unknown

Dataset Information

Optimizing information in Next-Generation-Sequencing (NGS) reads for improving de novo genome assembly.


ABSTRACT: Next-Generation-Sequencing is advantageous because of its much higher data throughput and much lower cost compared with the traditional Sanger method. However, NGS reads are shorter than Sanger reads, making de novo genome assembly very challenging. Because genome assembly is essential for all downstream biological studies, great efforts have been made to enhance the completeness of genome assembly, which requires the presence of long reads or long distance information. To improve de novo genome assembly, we develop a computational program, ARF-PE, to increase the length of Illumina reads. ARF-PE takes as input Illumina paired-end (PE) reads and recovers the original DNA fragments from which two ends the paired reads are obtained. On the PE data of four bacteria, ARF-PE recovered >87% of t

SUBMITTER: Liu T 

PROVIDER: S-EPMC3726674 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature