The HMM is a statistical model that considers few combinations of matc – McqOptions

MCQOPTIONS

1.	The HMM is a statistical model that considers few combinations of matches and gaps to generate an alignment of a set of sequences.
A.	True
B.	False
Answer» C.

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Related MCQs

Which of the following is not true about iterative methods?
The HMM is a statistical model that considers few combinations of matches and gaps to generate an alignment of a set of sequences.
In Genetic Algorithm, in the mutation process _______
The second step in the Genetic Algorithm comprises of scoring of the 100 initial MSAs by the sum of pairs method.
The first step in Genetic Algorithm is arranging the sequences to be aligned in rows.
An approach for obtaining a higher-scoring MSA (Multiple Sequence Alignment) by rearranging an existing alignment uses a probability approach called simulated annealing.
The Genetic Algorithm method has been recently adapted for MSA(Multiple Sequence Alignment) by Corpet (1998).
In the program DIALIGN, pairs of sequences are aligned to locate aligned regions that do not include gaps, much like continuous diagonals in a dot matrix plot.
Which of the following is incorrect regarding PRRP?
Iterative methods include repeatedly realigning subgroups of the sequences and then by aligning these subgroups into a local alignment of all of the sequences.