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FQStat: a parallel architecture for very high-speed assessment of sequencing quality metrics.

Sree K ChanumoluMustafa AlbahraniHasan H Otu
Published in: BMC bioinformatics (2019)
FQStat is a user-friendly tool with a graphical interface that employs a parallel programming architecture and automatically optimizes its performance to generate quality control statistics for sequencing data. Unlike existing tools, these statistics are calculated for multiple datasets and separately at the "lane," "sample," and "experiment" level to identify subsets of the samples with low quality, thereby preventing the loss of complete samples when reliable data can still be obtained.
Keyphrases
  • high speed
  • quality control
  • electronic health record
  • single cell
  • atomic force microscopy
  • big data
  • quality improvement
  • rna seq
  • peripheral blood
  • low cost