Question

There are an estimated 20,000-25,000 human protein-coding genes. If they are all sorted, which algorithm would you use to find a particular one. Select one: a. Binary Search b. Linear Search c. Ternary Search d. Quick Search

Answer 1

To search for a specific protein-coding gene in a sorted list, a Binary Search algorithm is the best option because it reduces the search interval by half with each step, providing an efficient way to locate the gene.

Step-by-step explanation:

To find a particular protein-coding gene out of an estimated 20,000-25,000 human protein-coding genes using an algorithm, the best approach would be a. Binary Search, assuming the genes are sorted. Binary Search is efficient as it repeatedly divides the search interval in half. If the array is sorted, this method starts with the middle element and checks to determine if the target value is before or after it, which significantly reduces the search space. In contrast, Linear Search would check each element one by one, and Ternary Search divides the search space into thirds, which is less commonly used; neither are as efficient as binary search. Quick Search is not a standard searching algorithm; instead, the name may refer to Quick Sort, which is a sorting algorithm and not used for searching.

Answer 2

The correct answer is : option A.

Step-by-step explanation:

Binary search is an array that works by comparing an gene or element in the middle of the array with the desired value, an if the desired value is sorted out and matches with the element , if the element is high than the desired value of the gene the sorting process will continue in the lower half of the array. So, for the finding a particular gene in all sorted protein coding genes the best choice would be binary search algorithm techniques.

Thus, the correct answer is : option A.