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Bioinformatics
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Bioinformatics
Article . 2018
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CSAR: a contig scaffolding tool using algebraic rearrangements

Authors: Kun-Tze Chen; Chia-Liang Liu; Shang-Hao Huang; Hsin-Ting Shen; Yi-Kung Shieh; Hsien-Tai Chiu; Chin Lung Lu;

CSAR: a contig scaffolding tool using algebraic rearrangements

Abstract

Abstract Summary Advances in next generation sequencing have generated massive amounts of short reads. However, assembling genome sequences from short reads still remains a challenging task. Due to errors in reads and large repeats in the genome, many of current assembly tools usually produce just collections of contigs whose relative positions and orientations along the genome being sequenced are still unknown. To address this issue, a scaffolding process to order and orient the contigs of a draft genome is needed for completing the genome sequence. In this work, we propose a new scaffolding tool called CSAR that can efficiently and more accurately order and orient the contigs of a given draft genome based on a reference genome of a related organism. In particular, the reference genome required by CSAR is not necessary to be complete in sequence. Our experimental results on real datasets have shown that CSAR outperforms other similar tools such as Projector2, OSLay and Mauve Aligner in terms of average sensitivity, precision, F-score, genome coverage, NGA50 and running time. Availability and implementation The program of CSAR can be downloaded from https://github.com/ablab-nthu/CSAR. Supplementary information Supplementary data are available at Bioinformatics online.

Keywords

Contig Mapping, Genome, Bacteria, High-Throughput Nucleotide Sequencing, Humans, Genomics, Sequence Analysis, DNA, Algorithms, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
gold