2021
DOI: 10.1101/2021.01.28.428636
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Estimating repeat spectra and genome length from low-coverage genome skims with RESPECT

Abstract: The cost of sequencing the genome is dropping at a much faster rate compared to assembling and finishing the genome. The use of lightly sampled genomes (genome-skims) could be transformative for genomic ecology, and results using k-mers have shown the advantage of this approach in identification and phylogenetic placement of eukaryotic species. Here, we revisit the basic question of estimating genomic parameters such as genome length, coverage, and repeat structure, focusing specifically on estimating the k-me… Show more

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Cited by 3 publications
(2 citation statements)
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“…The totality of the 12,029,684 (6,014,842 pairs) reads was used for the estimation of genome size by counting k-mers with word size = 21 in the software Jellyfish-2 ( Marçais & Kingsford, 2011 ). The k-mer frequency distribution was then processed with the program RESPECT 1.0 ( Sarmashghi et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…The totality of the 12,029,684 (6,014,842 pairs) reads was used for the estimation of genome size by counting k-mers with word size = 21 in the software Jellyfish-2 ( Marçais & Kingsford, 2011 ). The k-mer frequency distribution was then processed with the program RESPECT 1.0 ( Sarmashghi et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…The totality of these paired reads was used to estimate genome size by counting k-mers with a word size equal to 21 in the software Jellyfish-2 v.2.3.0 [13]. The k-mer frequency distribution was then processed with the program REPeat SPECTra Estimation (RESPECT) v.1.0.0 [14].…”
Section: Genome Size Estimation In Nematistius Pectoralismentioning
confidence: 99%