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In general, the prediction of cancer driver mutations is based on the conservation analysis of mutated sites (Capriotti and Altman, 2011; Carter et al., 2009; Kaminker et al., 2007).
The module for mutations is based on syntax patterns and the one for protein protein interactions relies on chunk parsing.
One approach to improving the sensitivity of an assay to confidently discriminate between single point mutations is based on the use of target assembled, split-probe systems, which constitutes the main focus of this review.
This expected number of mutations is based on the fraction of the protein that the epitopes and their flanking regions covered ('epitope cover').
Current methodology of assessing these mutations is based on sequencing studies.
bLink to NCBI SNP database (http://ncbi.nlm.nih.gov/projects/SNP/). cClassification of missense mutations is based on in silico analyses.
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Putative functional effects of mutations are based on mutational patterns.
The distribution of the mutations was based on binomial distribution.
For example, the studies concerning unexplained infertility [15] and RSA [11] that yielded positive association with PR mutations were based on only 26 and 42 cases.
These mutations were based on significantly elevated numbers of non-wild type nucleotides at positions 170 and 221 in four (X12, Y7, Y8 and Z5) and three pools (X12, Y3 and Z6), respectively (Fig. 3).
Known BRCA1 mutations are based on RefSeq accession NM_008294.3.
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