,

௜ାଵ,௝ା௞

p

p

t scores of the cells one column on the right below the current

re 7.2 visualises these three moving directions of the update rule

he Needleman-Wunsch algorithm.

The moving directions of the update rule used in the Needleman algorithm.

7.7 shows how the algorithm works to align two sequences

rom the cell (5, 4). The last row and the last column did not need

e of the alignment scores. For the cell (5, 4), the alignment score

ulated as below, where there was no diagonal move. The

t for the cell (5, 4) was between C and C, hence ݏହ,ସ1.

nment score of the cell (6, 5) was one. Therefore the total score

ll (5, 4) was two.

ൌݏହ,ସ൅max൛ܯ଺,ହ, ܰܣ, ܰܣൟൌ1 ൅max ሼ1, ܰܣ, ܰܣሽൌ2

The alignment result for the cell (5, 4). The cells with bold number are the

alignments.

1

2

3

4

5

A

G

T

C

A

1

C

0

0

0

1

0

2

A

1

0

0

0

1

3

G

0

1

0

0

0

4

G

0

1

0

0

0

5

C

0

0

0

2

0

6

A

1

0

0

0

1

e cell (4, 2), the alignment score was calculated as below and the

t result is shown in Table 7.8, where ܯହ,ሺଷ,ସ,ହሻ was the maximum

t score of the cells (5, 3), (5, 4) and (5, 5).