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NeoBio API | ||||||||
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CharSequence
, loading the sequence data
from the Reader
input stream.
computeBlockTable
for details) and requests subclasses to retrieve an
optimal alignment between the loaded sequences.
computeBlockTable
for details) and requests subclasses to locate the
score of the highest scoring alignment between the two sequences in the block
table.
col
array of indexes.
reduce
operation.
Factor
.
Factor
instance with the specified serial number and
new character, and pointing to the given ancestor.
FactorSequence
, loading the sequence data
from the Reader
input stream.
computePairwiseAlignment
method.
computeScore
method.
IncompatibleScoringSchemeException
with null as its
error detail message.
IncompatibleScoringSchemeException
with the specified
detail message.
IncompatibleScoringSchemeException
with the specified
detail message and cause.
IncompatibleScoringSchemeException
with the specified
cause (and a detail message that typically contains the class and detail message
of cause).
InvalidScoringMatrixException
with null as its error
detail message.
InvalidScoringMatrixException
with the specified detail
message.
InvalidScoringMatrixException
with the specified detail
message and cause.
InvalidScoringMatrixException
with the specified cause
(and a detail message that typically contains the class and detail message of
cause).
InvalidSequenceException
with null as its
error detail message.
InvalidSequenceException
with the specified
detail message.
InvalidSequenceException
with the specified
detail message and cause.
InvalidSequenceException
with the specified
cause (and a detail message that typically contains the class and detail message
of cause).
true
if this scoring scheme supports partial matches,
false
otherwise.
FactorSequence
instances.
match_reward
,
mismatch_penalty
and gap_cost
.
match_reward
, mismatch_penalty
and
gap_cost
.
OutMatrix
class that encodes the OUT matrix of a
block when supplied with the DIST matrix and the input border array of a block.
PairwiseAlignment
instance with the specified gapped
sequences, score tag line and score value.
col
array of indexes to the state it was before the
deleteOddColumns
method was called.
row
array of indexes to the state it was before the
reduce
method was called.
row
array.
score_computed flag
is set to true).
a
according to this
scoring matrix.
scoreDeletion
method of the scoring scheme
set to this algorithm.
a
according to this
scoring scheme.
gap_cost
for the deletion of any character.
a
according to this
scoring matrix.
scoreInsertion
method of the scoring
scheme set to this algorithm.
a
according to this
scoring scheme.
gap_cost
for the insertion of any character.
a
for character
b
according to this scoring matrix.
scoreSubstitution
method of the scoring
scheme set to this algorithm.
a
for character
b
according to this scoring scheme.
a
for character
b
according to this scoring scheme.
next
pointer to point to the specified factor.
Smawk
class that implements the SMAWK algorithm to
compute the column maxima of a totally monotone matrix.
sibling
.
son
.
MATCH_TAG
tag should be used or not.
MATCH_TAG
tag should be used or not.
valueAt
method
of the matrix.
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