2020
DOI: 10.1101/2020.07.23.214536
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HTSQualC is a Flexible and One-Step Quality Control Software for High-throughput Sequencing Data Analysis

Abstract: MotivationUse of high-throughput sequencing (HTS) has become indispensable in life science research. Raw HTS data contains several sequencing artifacts, and as a first step it is imperative to remove the artifacts for reliable downstream bioinformatics analysis. Although there are multiple stand-alone tools available that can perform the various quality control steps separately, availability of an integrated tool that can allow one-step, automated quality control analysis of HTS datasets will significantly enh… Show more

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Cited by 3 publications
(3 citation statements)
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“…Python version 3.6.10 with the Pandas version 1.0.5 data analysis package was used to implement the equating procedure as outlined in the WinSteps Manual . An analysis of variance (ANOVA) was performed using the Bioinfokit python package, with pairwise differences analyzed using Tukey’s honestly significant difference test …”
Section: Methodsmentioning
confidence: 99%
“…Python version 3.6.10 with the Pandas version 1.0.5 data analysis package was used to implement the equating procedure as outlined in the WinSteps Manual . An analysis of variance (ANOVA) was performed using the Bioinfokit python package, with pairwise differences analyzed using Tukey’s honestly significant difference test …”
Section: Methodsmentioning
confidence: 99%
“…Genomic DNA was extracted using the Qiagen Genomic-tip 20/G kit (Qiagen, Hilden, Germany) as previously described 23 and sequenced using an Illumina NextSeq 500 system. Raw reads quality was checked using FastQC 36 . Reads were processed with fastp 0.23.2 (-q 20 -F 15 -f 15) 37 .…”
Section: Methodsmentioning
confidence: 99%
“…UseGalaxy webserver ( , accessed on 23 August 2021) was used to convert sequence read archives (SRAs) into FASTQ files with forward and reverse reads. At each step, quality of reads was checked using FASTQC [ 52 ]. For removal of adapter and low-quality sequences from each read, Cutadapt was used [ 53 ].…”
Section: Methodsmentioning
confidence: 99%