t(align)

PairwiseAlignmentsSingleSubject (1 of 1)

n: [3] AUU

t: [2] ACU

1.7

er to gain more statistics of this alignment, the following function

d to save alignment statistics into a hard disk file. Table 7.18

e output of the writePairwiseAlignments function for the

t of two RNA sequences. The call of the function saved the

t result into a hard disk file, which was rna.txt for this

airwiseAlignments(align,file='rna.txt')

18. The output of the Smith-Waterman alignment for two RNA sequences.

ned_sequences: 2

1

1

ix: NA

penalty: 1.6

nd_penalty: 0.3

th: 3

tity: 2/3 (66.7%)

larity: NA/3 ( NA%)

0/3 ( 0.0%)

e: 1.7

three AUU 5

| |

2 ACU 4

nment-based multiple sequence comparison

eal applications, the multiple sequence alignment or comparison

s required for several research settings. For instance, the multiple

comparison practice has been used for synthetic protein identity

on in new chemistries discovery and cell signal pathway rewiring

2019], for examining how hypostome and tentacles in hydra