Variant effect predictions capture some aspects of deep mutational scanning experiments

BMC Bioinformatics

Table 1 Number of SAVs in aggregated datasets^a

^aSetAll depicts the total number of SAVs collected, while SetCommon contains only SAVs with predictions from every analyzed method. SetCommonSyn contains all SAVs with predictions where a thresholding scheme could be applied to yield classification of SAVs into neutral and effect (see Methods). The number of SAVs in every single DMS experiment are depicted in Fig. S1 and Table S1
^bThe ccdB set classifies variant effect in categories and contains 818 non-synonymous variants which fall in the same category as the wild-type. Hence these SAVs could be considered neutral

ISSN: 1471-2105