Version history

This page briefly summarizes the change in Jstacs. Each release is listed as separate section.

Jstacs 2.1 (released Mai 31, 2013)

New classes

• MultipleIterationsCondition: Requires another TerminationCondition to fail a contiguous, specified number of times
• ClassifierFactory: Allows for creating standard classifiers
• SeqLogoPlotter: Plot PNG sequence logos from within Jstacs
• MultivariateGaussianEmission: Multivariate Gaussian emission density for a Hidden Markov Model
• MEManager: Maximum entropy model

New features and improvements

• Alignment: Added free shift alignment
• PerformanceMeasure and sub-classes: Extension to weighted test data
• DNAAlphabet: Parser speed-up
• PFMComparator: Extension to PFM from other sources/databases
• ToolBox: New convenience methods for computing several statistics (e.g., median, correlation)
• SignificantMotifOccurrencesFinder: New methods for computing PWMs and statistics from predictions
• SequenceScore and sub-classes: New method toString(NumberFormat)
• AbstractClassifier, ClassifierAssessment and sub-classes: Adaption to weighted PerformanceMeasures
• DataSet: Adaption to weighted data, e.g., partitioning
• REnvironment: Changed several methods from String to CharSequence

Restructuring:

• changed MultiDimensionalSequenceWrapperDiffSM to MultiDimensionalSequenceWrapperDiffSS

Several minor new features, bug fixes, and code cleanups

Jstacs 2.0 (released February 2, 2012)

Jstacs 2.0 changes many names and the structure of several packages. It is not code-compatible with Jstacs 1.5 and earlier

Restructuring and Renaming

• former ScoringFunction, NormalizableScoringFunction, Model
  • new base-interface SequenceScore
  • new sub-interface StatisticalModel of SequenceScore for all statistical models with sub-iterfaces DifferentiableStatisticalModel and TrainableStatisticalModel
  • new interface DifferentiableSequenceScore replaces ScoringFunction
  • new interface DifferentiableStatisticalModel replaces NormalizableScoringFunction
  • new interface TrainableStatisticalModel replaces Model
  • new abstract class AbstractDifferentiableSequenceScore
  • new abstract class AbstractDifferentiableStatisticalModel replaces AbstractNormalizableScoringFunction
  • new abstract class AbstractTrainableStatisticalModel replaces AbstractModel
  • former *Models renamed to *TrainSM
  • former *ScoringFunction renamed to *DiffSS or *DiffSM
  • getProbFor removed from TrainableStatisticalModel (former Model) and conceptually replaced by getLogProbFor
  • getLogScore(Sequence,int,int) with changed meaning of arguments: getLogScore(Sequence,start,end) instead of getLogScore(Sequence,start,length)
  • isTrained() replaced by common method isInitialized()
• Sample renamed to DataSet
• Parameters and Results
  • new super-class of Parameters and Results: AnnotatedEntity
  • common list-type for Parameters and Results: AnnotatedEntityList
  • Renaming: CollectionParameter -> SelectionParameter, MultiSelectionCollectionParameter -> MultiSelectionParameter, new super-class AbstractSelectionParameter
  • major refactoring due to common hierarchy and code-cleanup
  • lazy evaluation of Parameter/ParameterSet hierarchies moved from ParameterSet (loadParameters()) to ParameterSetContainer (constructor on class)
  • SubclassFinder adapted to lazy evaluation
• performance measures
  • new abstract super-class AbstractPerformanceMeasure of all performance measures
  • new interface NumericalPerformanceMeasure for all performance measures that return a single number (as opposed, e.g., to curves)
  • new class PerformanceMeasureParameterSet for a collection of general performance measures
  • new class NumericalPerformanceMeasureParameterSet for a collection of NumericalPerformanceMeasures
  • used in evaluate-method of AbstractClassifier and in ClassifierAssessments
• evaluate and evaluateAll in AbstractClassifier joined
• new class IndependentProductDiffSS as super-class of IndepedentProductDiffSM (former IndependentProductScoringFunction)
• new class UniformDiffSS as super-class of UniformDiffSM (former UniformScoringFunction)

New functionality

• multi-threaded implementation of Baum-Welch and Viterbi training of hidden Markov models
• new Interface Singleton that can be used for singleton instances to save memory, current examples: DNAAlphabet, DNAAlphabetContainer, ProteinAlphabet
• added possibility to use NaN-values with ContinuousAlphabets
• added ProteinAlphabet
• added ArbitraryFloatSequence including static methods for DataSet creation for cases where double-precision is not needed
• new performance measure MaximumFMeasure
• access to Parameters in ParameterSets and Results in ResultSets by name
• emitDataSet in BayesianNetworkDiffSM
• new static method Time.getTimeInstance that returns UserTime or RealTime depending on availability of shared lib
• SubclassFinder allows for adding own base packages
• new method overlaps() in LocatedSequenceAnnotationWithLength
• AbstractTerminationCondition used in ScoreClassifier and sub-classes
• public method propagateESS in HMMFactory
• new method generateLog in DirichletMRG for drawing log-values
• added DifferentiableStatisticalModelFactory

Bugfixes/Improvements

• bugfix in propagation of equivalent sample size in HMMFactory
• bugfix in random initialization of BasicHigherOrderTransition
• improved Alignment implementation
• SafeOutputStream with new static factory method getSafeOutputStream, write methods now work on Objects

Documentation

• improved Javadocs in many classes and packages
• new Cookbook with extensive documentation and explanation

Misc

• output of NonParsableException more verbose
• Exceptions in multi-threaded code now lead to exit of program instead of only stopping the thread
• update of RServe/RClient

Jstacs 1.5 (released June 1, 2011)

• new package de.jstacs.algorithms.alignment for sequence alignment algorithms
• new class de.jstacs.models.ModelFactory with static classes to construct many standard models
• de.jstacs.utils.galaxy.GalaxyAdaptor, an adaptor to Galaxy, which allows for creating Galaxy applications using Jstacs ParameterSets, also requires new interface GalaxyConvertible
• new package de.jstacs.models.hmm for a variety of hidden Markov models, which can be learned by different learning principles including generative and discriminative learning principles, maximization and sampling methods
• new package de.jstacs.sampling that contains general infrastructure for parameter sampling
• new class de.jstacs.scoringFunctions.MappingScoringFunction that allows for internal mapping of symbols from the alphabet
• new package de.jstacs.classifier.scoringFunctionBases.sampling containing classifiers that sample their parameters by the Metropolis-Hastings algorithm
• new interface de.jstacs.scoringFunctions.SamplingScoringFunction for NormalizableScoringFunctions that can be used in Metropolis-Hastings sampling of parameters
• bugfix in XMLParser for cases, where the tag of interest also occurrs within other, nested tags

Jstacs 1.4 (released December 31, 2010)

• added DincleotideProperty for computing properties like melting temperature, twist, or G/C content
• support for multidimensional sequence data
• more widespread use of TerminationConditions
• completely rewritten XMLParser
• extension of motif discovery to weighted data
• OneSampleLogGenDisMixFunction for using the same Sample with different weights for the different classes
• Jstacs requires Java 1.6 now

Jstacs 1.3.1 (released March 2, 2010)

• Partitioning of Samples including weights
• Release of Dispom (de-novo discovery of differentially abundant transcription factor binding sites including their positional preference)
• Several bugfixes

Jstacs 1.3 (released December 2, 2009)

• generalized termination of numerical optimization in de.jstacs.algorithms.optimization.termination
• Added a unified generative-discriminative learning principle in de.jstacs.classifier.scoringFunctionBased.gendismix
• Implemented a multi-threaded variant of MCL/MSP and GenDisMix in the LogGenDisMixFunction
• Added a convenience class DNASample for samples of DNA sequences
• Added the class ParameterSetTagger to use parameter sets in command line programs
• Several bugfixes

Jstacs 1.2.2 (released April 8, 2009)

• Bugfix-Release

Jstacs 1.2.1 (released February 19, 2009)

• Bugfix in EnumParameter

Jstacs 1.2 (released February 2, 2009)

• Bugfixes
• Discriminative de-novo motif discovery
• Transformed Dirichlet Prior for numerical optimization

Jstacs 1.1 (released October 29, 2008)

• Bugfixes
• Improved Javadoc
• De-novo motif discovery

Jstacs 1.0 (released September 8, 2008)

The first version of Jstacs has been released.