Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data
Articolo
Data di Pubblicazione:
2016
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Cancer; Somatic single nucleotide variants; Whole exome sequencing; Algorithms; Genomics; High-Throughput Nucleotide Sequencing; Humans; Mutation; Neoplasms; Sensitivity and Specificity; Software; Exome; Polymorphism, Single Nucleotide; Structural Biology; Biochemistry; Molecular Biology; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics
Elenco autori:
do Valle, Ítalo Faria; Giampieri, Enrico; Simonetti, Giorgia; Padella, Antonella; Manfrini, Marco; Ferrari, Anna; Papayannidis, Cristina; Zironi, Isabella; Garonzi, Marianna; Bernardi, Simona; Delledonne, Massimo; Martinelli, Giovanni; Remondini, Daniel; Castellani, Gastone
Link alla scheda completa:
Pubblicato in: