2021
DOI: 10.1093/bioinformatics/btab025
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EARRINGS: an efficient and accurate adapter trimmer entails no a priori adapter sequences

Abstract: Motivation Cross-sample comparisons or large-scale meta-analyses based on the next generation sequencing (NGS) involve replicable and universal data preprocessing, including removing adapter fragments in contaminated reads (i.e., adapter trimming). While modern adapter trimmers require users to provide candidate adapter sequences for each sample, which are sometimes unavailable or falsely documented in the repositories (such as GEO or SRA), large-scale meta-analyses are therefore jeopardized … Show more

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Cited by 4 publications
(3 citation statements)
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“…We downloaded the raw Chinese Moso bamboo data from BioProject accession PRJNA755164 [ 14 ] and used the sra-toolkit/2.10.4 ( https://github.com/ncbi/sra-tools ) to convert the data to fastq format. Adapters were then detected in EARRINGS/1.0.0 [ 43 ] using the default settings. Adapter trimming was not performed for samples in which no adapters were detected by EARRINGS.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We downloaded the raw Chinese Moso bamboo data from BioProject accession PRJNA755164 [ 14 ] and used the sra-toolkit/2.10.4 ( https://github.com/ncbi/sra-tools ) to convert the data to fastq format. Adapters were then detected in EARRINGS/1.0.0 [ 43 ] using the default settings. Adapter trimming was not performed for samples in which no adapters were detected by EARRINGS.…”
Section: Methodsmentioning
confidence: 99%
“…com/ ncbi/ sra-tools) to convert the data to fastq format. Adapters were then detected in EARRINGS/1.0.0 [43] using the default settings. Adapter trimming was not performed for samples in which no adapters were detected by EARRINGS.…”
Section: Wgs and Detection Of The High-quality Snpsmentioning
confidence: 99%
“…Several tools have been developed to identify adapter sequences from raw reads. For examples, Atropos [ 21 ], fastp [ 22 ], DNApi [ 23 ], and EARRINGS [ 24 ] count k-mers in reads to infer adapter sequences. However, k-mer counting methods do not consider random-mers at each side of the ligation site, such as the random tetramer at both the 5’ and 3’ ends produced by the NEXTFLEX Kit ( Fig 1c ).…”
Section: Introductionmentioning
confidence: 99%