Abstract
Next-generation sequencing (NGS) technologies can generate billions of reads in a single sequencing run. However, with such high-throughput comes quality issues which have to be addressed before undertaking downstream analysis. Quality control on short reads is usually performed at default settings due to a lack of in-depth understanding of a particular software’s parameters and their effect if changed on the output. Here we demonstrate how to optimize read trimming using Trimmomatic. We highlight the benefits of trimming by comparing the quality of transcripts assembled using trimmed and untrimmed reads.
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Sewe, S.O., Silva, G., Sicat, P., Seal, S.E., Visendi, P. (2022). Trimming and Validation of Illumina Short Reads Using Trimmomatic, Trinity Assembly, and Assessment of RNA-Seq Data. In: Edwards, D. (eds) Plant Bioinformatics. Methods in Molecular Biology, vol 2443. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2067-0_11
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DOI: https://doi.org/10.1007/978-1-0716-2067-0_11
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