The algorithm for BLAST is based on Gate Biotechnology 2014 question paper

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## The algorithm for BLAST is based on: (- Gate Biotechnology 2014 question paper)

(A) Dynamic Programming
(B) Hidden Markov Model
(C) k-tuple analysis
(D) Neural Network

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k-tuple analysis

T - word or k-tuple score. This is the score that a short word or k-tuple must have in order for BLAST to consider it significant. It is a function of the scoring matrix used in the program. W - word length. This is the length of the word or k-tuple that is scanned. Larger values for W (8 or 9) are typical for DNA searches. Smaller values (3-4) are typical for protein searches. The longer the word size the faster the search. Words or k-tuples are normally assembled into HSPs.

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k-tuple analysis

In number theory, a prime k-tuple is a finite collection of values representing a repeatable pattern of differences between prime numbers. For a k-tuple (a, b, ...), the positions where the k-tuple matches a pattern in the prime numbers are given by the set of integers n such that all of the values (n + a, n + b, ...) are prime. Typically the first value in the k-tuple is 0 and the rest are distinct positive even numbers.

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