We present simulated exome-sequencing data for 150 families from a North American admixed population, ascertained to contain at least four members affected with lymphoid cancer. These data include information on the ascertained families as well as single-nucleotide variants on the exome of affected family members. We provide a brief overview of the simulation steps and links to the associated software scripts. The resulting data are useful to identify genomic patterns and disease inheritance in families with multiple disease-affected members.Specifications Table

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This paper introduces the expected goals concept to limited overs cricket where ideas are illustrated using the economy rate statistic. The approach is primarily explored as a proof of concept since the detailed data that are required for full adoption of the proposed methods are not currently widely available. The approach is based on the estimation of batting outcome probabilities given detailed data on each ball that is bowled in a match. Machine learning techniques are used for the estimation procedure.