The article "Statistical Method on Nonrandom Clustering with Application to Somatic Mutations in Cancer" [BMC Bioinformatics, 2011, 11(1)] developed a statistical method to discover mutations that lead to cancer by identifying nonrandom clusters of amino acid mutations in protein sequences in cells. In this method, N denotes the length of a protein sequence, and n denotes the total number of mutations in the protein. The position of a mutation is modeled with a discrete uniform distribution between 1 and N. Suppose that you are a biomedical engineer working on a protein sequence with two mutations and length N = 1000. Assume that the locations of the mutations are independent, and can be the same for two mutations. (a) Determine the probability that the first mutation occurs in the first half of the protein sequence. P = i (b) Determine the probability that both of the mutations occur in the first half of the protein sequence. P = i (c) Determine the probability that at least one of the mutations occurs in the first half of the protein sequence. P = i

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The article "Statistical Method on Nonrandom Clustering with Application to Somatic Mutations in Cancer" [BMC Bioinformatics, 2011,
11(1)] developed a statistical method to discover mutations that lead to cancer by identifying nonrandom clusters of amino acid
mutations in protein sequences in cells. In this method, N denotes the length of a protein sequence, and n denotes the total number of
mutations in the protein. The position of a mutation is modeled with a discrete uniform distribution between 1 and N. Suppose that
you are a biomedical engineer working on a protein sequence with two mutations and length N = 1000. Assume that the locations of
the mutations are independent, and can be the same for two mutations.
(a) Determine the probability that the first mutation occurs in the first half of the protein sequence.
P =
i
(b) Determine the probability that both of the mutations occur in the first half of the protein sequence.
P =
i
(c) Determine the probability that at least one of the mutations occurs in the first half of the protein sequence.
P =
i
Transcribed Image Text:The article "Statistical Method on Nonrandom Clustering with Application to Somatic Mutations in Cancer" [BMC Bioinformatics, 2011, 11(1)] developed a statistical method to discover mutations that lead to cancer by identifying nonrandom clusters of amino acid mutations in protein sequences in cells. In this method, N denotes the length of a protein sequence, and n denotes the total number of mutations in the protein. The position of a mutation is modeled with a discrete uniform distribution between 1 and N. Suppose that you are a biomedical engineer working on a protein sequence with two mutations and length N = 1000. Assume that the locations of the mutations are independent, and can be the same for two mutations. (a) Determine the probability that the first mutation occurs in the first half of the protein sequence. P = i (b) Determine the probability that both of the mutations occur in the first half of the protein sequence. P = i (c) Determine the probability that at least one of the mutations occurs in the first half of the protein sequence. P = i
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