A) Develop a function GC(seq) using MATLAB that takes in as input parameter a nucleotide sequence seq returns the computed (G+C) content for the inputted seq.

B) Develop a function GCSlidingWindow (seq, winsize, overlap) that takes three input parameters, a biological seq, a sliding window size winsize and the extent of overlap between successive sliding windows { overlap. It calls the function GC and plots the G+C property measured along the span of the argument seq.

Expert Solution

Sliding Window Algorithm

Given a larger integer buffer/array (say size, x), window size (say, n) and a number (say, k). Windows starts from the first element and by one element keeps shifting right. The objective is to find the minimum k numbers present in each window. Sliding window problem or algorithm is commonly.

This problem regularly features in programming interview questions. Basic concept is very simple, but some more variables thrown into question, that makes it more interesting.

First way is to use quick sort, pivot is Kth position, all elements on the right side are greater than pivot, hence, all elements on the left side automatically become K smallest elements of give array.
Keep an array of K elements, fill it first K elements of given input array. Now K + 1 element, check if the current element is less than the maximum element in the auxiliary array, add this element into array.

venereology answered 1 year ago

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