2016
DOI: 10.1186/s13742-016-0141-6
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Chromosomer: a reference-based genome arrangement tool for producing draft chromosome sequences

Abstract: BackgroundAs the number of sequenced genomes rapidly increases, chromosome assembly is becoming an even more crucial step of any genome study. Since de novo chromosome assemblies are confounded by repeat-mediated artifacts, reference-assisted assemblies that use comparative inference have become widely used, prompting the development of several reference-assisted assembly programs for prokaryotic and eukaryotic genomes.FindingsWe developed Chromosomer – a reference-based genome arrangement tool, which rapidly … Show more

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Cited by 66 publications
(73 citation statements)
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References 23 publications
(25 reference statements)
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“…In order to facilitate comparisons between varieties, Chromosomer v 0.1.4a was used to align available contigs and scaffolds to the Zhongzhi13 reference genome and build chromosome‐level assemblies for the four sesame varieties (Baizhima, Mishuozhima,Yuzhi11 and Swetha) (Tamazian et al ., ). After reference‐assisted scaffolding, the original scaffold N50 sizes for the four sesame varieties were improved from Kb level (ranging from 47.354 Kb for Baizhima to 324.9 Kb for Yuzhi11) to Mb level (ranging from 16.33 Mb for Baizhima to 23.86 Mb for Swetha).…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…In order to facilitate comparisons between varieties, Chromosomer v 0.1.4a was used to align available contigs and scaffolds to the Zhongzhi13 reference genome and build chromosome‐level assemblies for the four sesame varieties (Baizhima, Mishuozhima,Yuzhi11 and Swetha) (Tamazian et al ., ). After reference‐assisted scaffolding, the original scaffold N50 sizes for the four sesame varieties were improved from Kb level (ranging from 47.354 Kb for Baizhima to 324.9 Kb for Yuzhi11) to Mb level (ranging from 16.33 Mb for Baizhima to 23.86 Mb for Swetha).…”
Section: Resultsmentioning
confidence: 97%
“…Chromosomer v 0.1.4a (Tamazian et al ., ) was used to construct chromosome‐level assemblies of S. indicum var. Yuzhi11, S. indicum var.…”
Section: Methodsmentioning
confidence: 99%
“…RACA produces, at best, subchromosomesized predicted chromosome fragments (PCFs) that require further verification and subsequent chromosome assembly. It is worth mentioning that, unlike RACA, other reference-assisted assembly algorithms, e.g., Ragout (Kolmogorov et al 2014) or Chromosomer (Tamazian et al 2016), do not use the target genome short-and long-range paired-read data to verify synteny breaks in/between scaffolds, meaning that the target species-specific rearrangements could be missed from the reconstructed PCFs/pseudochromosomes, making the reconstructed target chromosome structures more heavily biased to the reference genome(s) than when using RACA. RACA algorithm applied to the Tibetan antelope and blind mole rat genomes significantly improved continuities of these assemblies, but they still contain more than one large PCF for most chromosomes (Kim et al 2013;Fang et al 2014).…”
Section: [Supplemental Materials Is Available For This Article]mentioning
confidence: 99%
“…Furthermore, although reference-assisted assembly approaches may mask true genomic rearrangements (Liu et al 2018a), high-quality chromosome-level genomes of very close relatives can be used to improve draft assemblies, often employing alignment-based comparisons such as assisted assembly tools (Gnerre et al 2009), reference-assisted chromosome assembly (Kim et al 2013), CHROMOSOMER (Tamazian et al 2016), the Reference-based Genome Assembly and Annotation Tool (Liu et al 2018b), or the RAGOUT 2 reference-assisted assembly tool (Kolmogorov et al 2018). What role then is there for comparative genomics approaches that use evolutionary signals to predict scaffold adjacencies in draft assemblies?…”
Section: Discussionmentioning
confidence: 99%