2019
DOI: 10.1101/723890
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Sequencing smart:De novosequencing and assembly approaches for non-model mammals

Abstract: The high degree of variability between each de novo assembly method (assessed from the seven key metrics) highlights the importance of carefully devising the sequencing strategy to be able to carry out the desired analysis. Adding more data to genome assemblies not always results in better assemblies so it is important to understand the nuances of genomic data integration explained here, in order to obtain cost-effective value-for-money when sequencing genomes.

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Cited by 4 publications
(3 citation statements)
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“…Previous studies (e.g., Etherington et al., 2019; Paajanen et al., 2019) have assessed the efficiency of available sequencing technologies in genome assembly and genome completeness mainly through summary statistics such as scaffold N50 and BUSCO values. Scaffold N50 indicates the minimum scaffold size among the largest scaffolds making up half of the assembly, while BUSCO values measure the number of complete/incomplete/missing core genes in the assembly.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies (e.g., Etherington et al., 2019; Paajanen et al., 2019) have assessed the efficiency of available sequencing technologies in genome assembly and genome completeness mainly through summary statistics such as scaffold N50 and BUSCO values. Scaffold N50 indicates the minimum scaffold size among the largest scaffolds making up half of the assembly, while BUSCO values measure the number of complete/incomplete/missing core genes in the assembly.…”
Section: Discussionmentioning
confidence: 99%
“…Such technical advantages and established recommendations and strategies have been widely applied in humans [3][4][5][6], terrestrial animals [7][8][9][10][11][12], and plants and crops [13][14][15][16][17][18]. Genomic applications in aquatic species that could be potentially important for aquaculture are slower compared with human, livestock, and crops [19][20][21], compounded by larger diversity, lack of reference genomes, and more novice aquaculture industries.…”
Section: Introductionmentioning
confidence: 99%
“…These methods allow the assembly of pseudo‐long reads up to tens of kb from short‐read data, and with higher accuracy compared to true long‐read sequencing (Jiao & Schneeberger, 2017). Initially introduced by Illumina (Kuleshov et al, 2014; McCoy et al, 2014), there are few but increasing numbers of publications using linked‐read methods, particularly in the field of museomics (Etherington et al, 2019; Latorre et al, 2020; Lutgen et al, 2020). 10× Genomics (Zheng et al, 2016), a newer technology loosely based on innovations developed by the Illumina SLR technique, offers several advantages for museum science applications.…”
Section: Introductionmentioning
confidence: 99%