SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets

This paper presents SeQual, a scalable tool to efficiently perform quality control of large genomic datasets. Our tool currently supports more than 30 different operations (e.g., filtering, trimming, formatting) that can be applied to DNA/RNA reads in FASTQ/FASTA formats to improve subsequent downst...

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Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.1-1
Hauptverfasser:	Exposito, Roberto R., Galego-Torreiro, Roi, Gonzalez-Dominguez, Jorge
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Apache Spark Big Data Bioinformatics Clusters Datasets Deoxyribonucleic acid Distributed memory DNA Massive data points Next-Generation Sequencing (NGS) Quality control Sequential analysis Sparks
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