Answer:
d) Computes the transition probabilities.
Step-by-step explanation:
In bioinformatics, a background model is used to estimate the statistical properties of a specific genomic region such as the frequency of certain nucleotides or the distribution of specific genes. The background model is used to compute the transition probabilities between different states of a Markov Chain, which is a mathematical model used to describe the biological phenomena. By computing the transition probabilities, we can estimate the likelihood of a sequence of events occurring, which is important in predicting the function of a genomic region. The background model is not related to pseudo count values, null models, reference systems, or avoiding log(0) situations.