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Visualization and quality assessment of de novo genome assemblies

Authors: Oksana Riba-Grognuz; Laurent Keller; Laurent Falquet; Ioannis Xenarios; Yannick Wurm;

Visualization and quality assessment of de novo genome assemblies

Abstract

Abstract Summary: Recent technological progress has greatly facilitated de novo genome sequencing. However, de novo assemblies consist in many pieces of contiguous sequence (contigs) arranged in thousands of scaffolds instead of small numbers of chromosomes. Confirming and improving the quality of such assemblies is critical for subsequent analysis. We present a method to evaluate genome scaffolding by aligning independently obtained transcriptome sequences to the genome and visually summarizing the alignments using the Cytoscape software. Applying this method to the genome of the red fire ant Solenopsis invicta allowed us to identify inconsistencies in 7%, confirm contig order in 20% and extend 16% of scaffolds. Contact: oksana.ribagrognuz@unil.ch; yannick.wurm@unil.ch Availability: Scripts that generate tables for visualization in Cytoscape from FASTA sequence and scaffolding information files are publicly available at https://github.com/ksanao/TGNet. Supplementary Information: Supplementary data are available at Bioinformatics online.

Related Organizations
Keywords

Genome, De novo assembly, Networks, Quality assessment, Next-generation sequencing, Visualization, Chromosome Mapping, Computational Biology, Sequence Analysis, DNA, Synteny, Software

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    popularity
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    influence
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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!
9
Average
Average
Average
Green
gold