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jMetalMSA: a framework for solving Multiple Sequence Alignment problems with Multi-Objective metaheuristics

jMetalMSA is an Open source software tool aimed at solving multiple sequence alignment (MSA) problems by using multi-objective metaheuristics. It is based on the jMetal multi-objective framework, which is extended with an encoding for representing MSA solutions.

##Architecture of jMetalMSA

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The object-oriented architecture of jMetalMSA is shown in Figure above, is composed of four core classes (Java interfaces). Three of them (MSAProblem, MSAAlgorithm, and MSASolution) inherits from their counterparts in jMetal (the inheritance relationships are omitted in the diagram), and there is a class Score to represent a given MSA scoring function.

Summary of features

##List of Algorithms The list of metaheuristics currently available in jMetalMSA include the evolutionary algorithms

  • NSGA-II [1]
  • NSGA-III [2]
  • SMS-EMOA [3]
  • SPEA2 [4]
  • PAES [5]
  • MOEA/D [6]
  • MOCell [7]
  • GWASF-GA [8].

Crossover Operator

The crossover operator is the Single-Point Crossover adapted to alignments, randomly selects a position from the parent A by splitting it into two blocks and the parent B is tailored so that the right piece can be joined to the left piece of the first parent (PA1) and vice versa. Selected blocks are crossed between these two parents

Mutation Operators

The list of mutation operators included in jMetalMSA are:

  • Shift-closed gaps: Closed gaps are randomly chosen and shifted to another position.
  • Non-gap group splitting: a non-gap group is selected randomly, and it is split into two groups.
  • One gap insertion: Inserts a gap in a random position for each sequence.
  • Two adjacent gap groups merging: Selects a random group of gaps and merge with its nearest group of gaps.
  • Multiple mutation

Scores

The scores that are currently available in jMetalMSA are:

  • Sum of Pairs
  • Weighted Sum of Pairs with Affine Gaps
  • Single sTRucture Induced Evaluation (STRIKE).
  • Percentage of Totally Conserved Columns.
  • Percentage of Non-Gaps

Requirements

To use jMetalMSA the following software packages are required:

Downloading and compiling

To download jMetalMSA just clone the Git repository hosted in GitHub:

git clone https://github.com/jMetal/jMetalMSA.git

Once cloned, you can compile the software and generate a jar file with the following command:

mvn package

This sentence will generate a directory called target which will contain a file called jmetalmsa-1.0-SNAPSHOT-jar-with-dependencies.jar

Download PDB files and Generation of the Strike Contact Matrix files

jMetalMSA provides a utility to download the PDB structures files from the Protein Data Bank and generate the Strike Contact Matrix (with the utility STRIKE Contact Matrix Generator) automatically.

To execute this utility and get all the structural information requeried by STRIKE measure, run this command:

java -cp target/jmetalmsa-1.0-SNAPSHOT-jar-with-dependencies.jar org.uma.jmetalmsa.strike.GenerateStructuralInformation sequencesFileName outputDirectory pathToStrike_contactgenerator
```

* sequencesFileName: the filename of the sequences dataset (in FASTA Format). The names of the sequences must be correctly defined, because, the four first letters will be the `Sequence Key` or `PDB ID` to search the Structural Information (PDB) into the database of the Protein Data Bank.
* outputDirectory: The Path where all files (PDB's (*.pdb) and Strike Contact Matrix (*.contacts)) will be save.
* pathToStrike_contactgenerator: The full path of the  STRIKE Contact Matrix Generator executable ,for instance: `/home/jMetalMSA/strike/bin/strike_pdbcontactsgenerator`.

The Contacts files for each sequence of the dataset will be created into the outputDirectory. jMetalMSA will read the contact files to evaluate the STRIKE metric of the aligments. 

## Runing jMetalMSA

To execute the MOCell algorithm to align a particular dataset of sequences with three objectives: SOP, TC and Non-Gaps, just run this command:

java -cp target/jmetalmsa-1.0-SNAPSHOT-jar-with-dependencies.jar org.uma.jmetalmsa.runner.MOCellRunner sequencesFileName PDB_ContactsDataDirectory listOfPreComputedAlignments NumberOfEvaluations PopulationSize

* sequencesFileName: the filename of the sequences dataset (in FASTA Format).
* dataDirectory: The Path that contains the Structural Information files (PDB's (*.pdb) and Strike Contact Matrix (*.contacts)) of the sequences to align and the Pre-Computed alignments to use to generate the Initial population of the algorithm.  
* listOfPreComputedAlignments: A list of filenames of the pre-alignments separated by `-`, only the file names must be defined, because jMetalMSA will be search these files into the `dataDirectory`.
* NumberOfEvaluations: Number of the Maximun Evaluations of the algorithm.
* PopulationSize: Size of the population of the algorithm

To execute the NSGA-II with  three objectives STRIKE, TC and %Non-Gaps (MOSAStrE) to solve a problem in BAliBASE, just run this command:

java -cp target/jMetalMSA-1.0-SNAPSHOT-jar-with-dependencies.jar org.uma.jmetalmsa.runner.MOSAStrERunnerBAliBASE balibaseProblemName dataDirectory NumberOfEvaluations PopulationSize

* balibaseProblemName: the BAliBASE instance name, for instance `BB12001`. 
* dataDirectory: The Path that contains the Structural Information files (PDB's (*.pdb) and Strike Contact Matrix (*.contacts)) of the sequences to align and the Pre-Computed alignments to use to generate the Initial population of the algorithm.  
* NumberOfEvaluations: Number of the Maximun Evaluations of the algorithm.
* PopulationSize: Size of the population of the algorithm

For solving BAliBASE problems, jMetalMSA searches the Sequences Files in FASTA format, the Contacts files and the pre-computed alignments, as follows:

* Directory with the PDB Files:   dataDirectory + /aligned/strike/ + Group + / + balibaseProblemName + /
* Balibase Directory: dataDirectory + /bb3_release/ + Group + /
* Directory with the PreAlignments:  dataDirectory + /aligned/ + Group + / + balibaseProblemName;

## Results 

The output of the program are two files:
* `VAR.tsv`: contains the Pareto front approximation. For each solution, this file contains a line with the values of the three objectives.
* `FUN.tsv`: contains the Pareto set approximation. Each solution is represented in FASTA format.