Class
StringSet
A container class for a set of strings.
StringSet<TString, TSpec>
Include Headers
sequence.h
Parameters
TString
The string type.
Types: String
TSpec
The specializing type for the StringSet.
Metafunctions: Spec
Default: Owner<Generous>.
Specializations
DependentA string set storing references of the strings.
OwnerA string set storing the strings as members.
Metafunctions
ConcatenatorReturns the type of the concatenation sequence of all sequences in a StringSet.
SAValueThe default alphabet type of a suffix array, i.e. the type to store a position of a string or string set.
Functions
appendSeqsAppends all sequences stored in files of directory to a StringSet.
appendValueAppends a value to a container.
assignValueByIdAdds a new string to the StringSet and returns an id.
assignValueByIdAdds a new string to the StringSet and returns an id.
beginThe begin of a container.
clearResets an object.
complementComplement a sequence or a StringSet in-place.
completeProfileConcatenates the background frequency with the profile for the motif component.
concatReturns the concatenation sequence of all sequences in a StringSet.
convertPatternToProfileConverts a pattern into a profile which consists of a set of frequency distributions.
convertSetOfPatternsToProfileConverts a set of sequence patterns into a profile.
convertSetOfPatternsToProfileConverts a set of sequence patterns into a profile.
createCountArrayBuilds an index on a StringSet storing how often a q-gram occurs in each sequence.
determineConsensusSeqDetermines the consensus pattern of a given profile.
displayDisplays a given set of strings.
emRepresents the EM algorithm as used by MEME.
endThe end of a container.
expectationComputes the expectation for a set of patterns w.r.t. a set of text strings and a MarkovModel
expectationComputes the expectation for a set of patterns w.r.t. a set of text strings and a MarkovModel
findMotifRepresents the main function which is used to start the search for noticeable motif patterns.
generateSequenceGenerates random state and alphabet sequences of a given HMM.
generateSequenceGenerates random state and alphabet sequences of a given HMM.
getValueByIdRetrieves a string from the StringSet given an id.
globalAlignmentComputes the best global alignment of the two sequences.
idToPositionRetrieves the position of a string in the StringSet given an id.
infixCreates infix object.
infixWithLengthCreates infix object.
iterIterator to item at given position.
lengthThe number of items/characters.
loadContigsLoads contigs into fragment store.
localAlignmentComputes the best local alignment of two sequences.
matchRefinementRefines (i.e. cuts into smaller parts) a set of pairwise segment matches in such a way that none of the segments partly overlap. They are either identical (fully overlapping) or non-overlapping.
multiLocalAlignmentComputes multiple local alignments of two sequences.
normalizeDetermines the normalized frequencies.
normalizeDetermines the normalized frequencies.
positionToIdRetrieves the id of a string in the StringSet given a position.
prefixCreates prefix object.
removeValueByIdRemoves a string from the StringSet given an id.
resizeResizes a container. If the new length exceeds the old length the new elements are filled with copies of value.
reverseComplementReverse and complement a sequence or a StringSet in-place.
setStringsLoads the sequences of a stringset into an alignment.
stringSetLimitsRetrieves a string of delimiter positions of a StringSet which is needed for local<->global position conversions.
suffixCreates suffix object.
swapSwaps the contents of two values.
swapSwaps the contents of two values.
toLowerConvert characters in sequence or StringSet to lower case in-place.
toUpperConvert characters in sequence or StringSet to lower case in-place.
valueReference to the value.
valueByIdRetrieves a string from the StringSet given an id.
varianceComputes the variance for a set of patterns w.r.t. a set of text strings and a MarkovModel
varianceComputes the variance for a set of patterns w.r.t. a set of text strings and a MarkovModel
zscoreComputes the z-score index for a set of patterns w.r.t. a set of text strings and a MarkovModel
zscoreComputes the z-score index for a set of patterns w.r.t. a set of text strings and a MarkovModel
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