PERGA: A Paired-End Read Guided De Novo Assembler for Extending Contigs Using SVM and Look Ahead Approach
Identifieur interne : 000F81 ( Ncbi/Curation ); précédent : 000F80; suivant : 000F82PERGA: A Paired-End Read Guided De Novo Assembler for Extending Contigs Using SVM and Look Ahead Approach
Auteurs : Xiao Zhu [République populaire de Chine] ; Henry C. M. Leung [Hong Kong] ; Francis Y. L. Chin [Hong Kong] ; Siu Ming Yiu [Hong Kong] ; Guangri Quan [République populaire de Chine] ; Bo Liu [République populaire de Chine] ; Yadong Wang [République populaire de Chine]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
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Abstract
Since the read lengths of high throughput sequencing (HTS) technologies are short,
Url:
DOI: 10.1371/journal.pone.0114253
PubMed: 25461763
PubMed Central: 4252104
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">PERGA: A Paired-End Read Guided <italic>De Novo</italic>
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<term>Support Vector Machine</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Machine à vecteur de support</term>
<term>Répétitions microsatellites</term>
<term>Séquençage nucléotidique à haut débit</term>
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<front><div type="abstract" xml:lang="en"><p>Since the read lengths of high throughput sequencing (HTS) technologies are short, <italic>de novo</italic>
assembly which plays significant roles in many applications remains a great challenge. Most of the state-of-the-art approaches base on de Bruijn graph strategy and overlap-layout strategy. However, these approaches which depend on <italic>k</italic>
-mers or read overlaps do not fully utilize information of paired-end and single-end reads when resolving branches. Since they treat all single-end reads with overlapped length larger than a fix threshold equally, they fail to use the more confident long overlapped reads for assembling and mix up with the relative short overlapped reads. Moreover, these approaches have not been special designed for handling tandem repeats (repeats occur adjacently in the genome) and they usually break down the contigs near the tandem repeats. We present PERGA (Paired-End Reads Guided Assembler), a novel sequence-reads-guided <italic>de novo</italic>
assembly approach, which adopts greedy-like prediction strategy for assembling reads to contigs and scaffolds using paired-end reads and different read overlap size ranging from <italic>O</italic>
<sub>max</sub>
to <italic>O</italic>
<sub>min</sub>
to resolve the gaps and branches. By constructing a decision model using machine learning approach based on branch features, PERGA can determine the correct extension in 99.7% of cases. When the correct extension cannot be determined, PERGA will try to extend the contig by all feasible extensions and determine the correct extension by using look-ahead approach. Many difficult-resolved branches are due to tandem repeats which are close in the genome. PERGA detects such different copies of the repeats to resolve the branches to make the extension much longer and more accurate. We evaluated PERGA on both Illumina real and simulated datasets ranging from small bacterial genomes to large human chromosome, and it constructed longer and more accurate contigs and scaffolds than other state-of-the-art assemblers. PERGA can be freely downloaded at <ext-link ext-link-type="uri" xlink:href="https://github.com/hitbio/PERGA">https://github.com/hitbio/PERGA</ext-link>
.</p>
</div>
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