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Variant Calling Algorithms Benchmark Using High Performance Computing

Capitolo di libro
Data di Pubblicazione:
2020
Abstract:
The application of Next Generation Sequencing to Whole Genome Sequencing is still showing enhanced advantages in many research fields such as medical diagnostics. Here we conducted a comparative assessment of GATK3-HaplotypeCaller, FreeBayes and Samtools-mpileup, three state of the art variant calling algorithms, on a "gold standard" benchmark. The analyses were performed exploiting the high performance computing technology of ReCaS datacenter. Our results indicated that Samtools-mpileup was the most conservative with the highest precision, followed by FreeBayes and GATK3-HaplotypeCaller, which presented the highest sensitivity. Moreover, the merged call-set resulted in lower sensitivity and precision, suggesting additional testing using different merging methods followed by wet-lab validations. Despite some limitations, these results provide important insights for the development and refinement of novel bioinformatics tools and workflows.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
variant calling; benchmark; human genome; high performance computing
Elenco autori:
Pesole, Graziano; Santamaria, Monica; Balech, Bachir
Autori di Ateneo:
BALECH BACHIR
PESOLE GRAZIANO
SANTAMARIA MONICA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/379767
Titolo del libro:
Atti dell'incontro con gli utenti DATA CENTER ReCaS-BARI
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