2014
DOI: 10.1093/bfgp/elu042
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Do it yourself guide to genome assembly

Abstract: Bioinformatics skills required for genome sequencing often represent a significant hurdle for many researchers working in computational biology. This humble effort highlights the significance of genome assembly as a research area, focuses on its need to remain accurate, provides details about the characteristics of the raw data, examines some key metrics, emphasizes some tools and draws attention to a generic tutorial with example data that outlines the whole pipeline for next-generation sequencing. The articl… Show more

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Cited by 26 publications
(26 citation statements)
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“…We sequenced the amplified DNA with the Sanger dideoxy method. We trimmed raw sequences generated for low-quality regions from either end and constructed consensus sequences from multiple primers in Geneious (46) with default parameters. On the basis of full-length 16S rRNA gene sequence similarities, we determined the phylogenetic relationships among the isolates.…”
Section: Methodsmentioning
confidence: 99%
“…We sequenced the amplified DNA with the Sanger dideoxy method. We trimmed raw sequences generated for low-quality regions from either end and constructed consensus sequences from multiple primers in Geneious (46) with default parameters. On the basis of full-length 16S rRNA gene sequence similarities, we determined the phylogenetic relationships among the isolates.…”
Section: Methodsmentioning
confidence: 99%
“…Plant research for robust phenotypes that show stability in growth performance is crucial, but also the most critical and most expensive step in breeding. Efficient marker systems and reliable screening tools that can assist in identifying and selecting superior robust genotypes with differential adaptive plasticity are still important bottlenecks ( Arnholdt-Schmitt et al, 2014 , 2015a ).…”
Section: Introductionmentioning
confidence: 99%
“…We sequenced the amplified DNA using the Sanger dideoxy method. We trimmed raw sequences generated for low-quality regions from either end and constructed consensus sequences from multiple primers using Genious [46]. Based on full length 16S rRNA gene sequence similarities, we determined the phylogenetic relationships of the isolates.…”
Section: Methodsmentioning
confidence: 99%