Bioinformatics with Python Cookbook - Second Edition

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With regards to Mendelian errors and their impact on cost functions, let's think about the following case: the mother is AA, the father is AT, and all offspring are AA. Does this mean that the father is wrongly called, or that we failed to detect a few heterozygous offspring? From this reasoning, it's probably the father that is wrongly called. This has an impact in terms of some more refined Mendelian error estimation functions: it's probably more costly to have a few offspring wrong, than just a single sample (the father) wrong. In this case, you might think it's trivial (the probability of having no heterozygous offspring is so low that it's probably the father), but if you have 18 offspring AA and two AT, is it still "trivial"? ...