Open Journal of Genetics · 2017 · 45 citations · 14 references
Life SciencesBioinformaticsGenomic Data AnalysisGenomicsPrecision MedicineDna SequencingGenome SequencingNext-generation SequencingPrecision Medicine GenomicsVariant CallingNext-generation Sequencing AnalysisNext-generation Sequencing Data AnalysisPrecision Medicine Applications
Slow speed of the Next-Generation sequencing data analysis, compared to the latest high throughput sequencers such as HiSeq X system, using the current industry standard genome analysis pipeline, has been the major factor of data backlog which limits the real-time use of genomic data for precision medicine. This study demonstrates the DRAGEN Bio-IT Processor as a potential candidate to remove the “Big Data Bottleneck”. DRAGENTM accomplished the variant calling, for ~40× coverage WGS data in as low as ~30 minutes using a single command, achieving the over 50-fold data analysis speed while maintaining the similar or better variant calling accuracy than the standard GATK Best Practices workflow. This systematic comparison provides the faster and efficient NGS data analysis alternative to NGS-based healthcare industries and research institutes to meet the requirement for precision medicine based healthcare.
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The Sequence Alignment/Map format and SAMtools
Heng Li, Alec Wysoker, Tim Fennell et al. · Bioinformatics · 2009 · 67.5K citations · Full text
Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2009 · 62.8K citations · Full text
Fast and accurate long-read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2010 · 12.9K citations · Full text