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Filtering false positive samples
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In this study we generated a whole exome sequencing benchmark dataset using the platinum genome sample NA12878 and developed an intersect-then-combine (ITC) approach to increase the accuracy in calling single nucleotide variants (SNVs) and indels in tumour-normal pairs. We evaluated the effect of alignment, base quality recalibration, mutation caller and filtering on sensitivity and false positive rate.
11p
vioraclene
31-03-2024
4
2
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Research on the residue-residue contacts in interactive proteins is meaningful in determining the function and structure of proteins, structure-based drug design, and disease treatment. Previous methods showed good predicted results, however, the number of false positive non-residue-residue contacts (nonRRCs) is still much higher than the number of true positive residue-residue contacts (RRCs). In this research, we propose a method to eliminate false positive non-RRCs enhancing the predicted quality.
9p
nguathienthan6
06-07-2020
10
0
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