v2.1.0

Tutorial

This tutorial will guide you through all the steps needed to (i) install BEW in your computer and (ii) explore the different operations that the software offers.

Contents

  1. Installation
    1. Windows installation
    2. Linux installation
    3. Mac installation
    4. Uninstallation
  2. BEW operations
    1. Operations in groups
    2. Management operations
    3. Analysis operations
    4. BiofOmics Database operations
    5. Utilities operations
    6. Others
  3. Management operations
    1. Main menu
    2. Create an Experiment
    3. Edit an Experiment
    4. Delete an Experiment
    5. Display an Experiment
    6. Save an Experiment into a file
    7. Load an Experiment from a file
    8. Export an Experiment into a file
    9. Import an Experiment from a file
    10. Add data from methods
    11. Edit data from methods
    12. Delete a method
    13. Display data from methods
    14. Display data replicates
    15. Display conditions from methods
    16. Inter-lab comparison of Experiments
  4. Analysis operations
    1. Create a plot
    2. Display a plot
    3. Edit a plot
    4. Delete a plot
    5. Save a plot
    6. Print a plot
    7. Calculate a statistical test
    8. Delete a statistical test
    9. Display a statistical test
    10. Save a statistical test
    11. Generate HTML report
  5. BiofOmics
    1. Download Experiment from BiofOmics
    2. Upload Experiment to BiofOmics
  6. Utility operations
    1. Manage Conditions
    2. Manage Condition values
    3. Manage Methods of analysis
    4. Update metadata from BiofOmics
    5. Update R packages
  7. Others
    1. XLS files structure
    2. BEW help
    3. About

1 Installation

1.1 Installation on Windows

  1. Download the R compressed version from the Download section.
  2. Download the JRE 7 compressed version from the Download section.
  3. Download the BEW compressed version from the Download section.
  4. Once all the files are downloaded, extract them into a local folder. Then, move the R folder and JRE folder inside the BEW folder.
  5. Execute run.bat.

1.2 Installation on Linux

  1. Download BEW project from Download section. Then uncompress the file in a folder (for example in your personal Desktop).
  2. Download the most JRE appropriate version for your OS based on its architecture from the Download section. Then uncompress the file inside the BEW folder.
  3. Download the R version for your OS based on its architecture. Download the most appropriate file from the Download section.
  4. Move to the folder that contains the downloaded R package. Execute the next commands in the terminal to extract R and install some dependencies:
    1. sudo tar -zxvf file.tar.gz. You should uncompress the files inside the BEW folder.
    2. sudo apt-get install gfortran. Install fortrar 77 compilator.
    3. sudo apt-get install g++. Install C++ compilator
    4. sudo apt-get install xorg-dev. This is a R dependence.
    5. sudo apt-get install libreadline-gplv2-dev. Another R dependence.
    6. sudo apt-get apt-get update and sudo apt-get upgrade.
    7. Now, set permissions to write and execute files within BEW directory with the following command: chmod -R 777 BEW/.
    8. Execute ./run.sh.
  5. For more information about the installation process see the: R installation guide.

1.3 Installation on Mac OS X

  1. Download the R3.0.0 version from R-Cran website: Download R.
  2. Download the most JRE appropriate version for your OS based on its architecture from the Download section. Then uncompress the file inside the BEW folder.
  3. Install the R software and its dependences. Please, follow the next steps:
    1. Install some R tools. First, install gfortran based on your architecture and then install tcltk. You can download them from here.
    2. Install the previous downloaded R files in the first step. You can install it in the default folder if you want.
    3. Open a terminal and execute R with the command: r.
    4. Introduce the following command inside R console: install.packages('rJava'), and select a cran server to download and install the package. In this step, your OS can advice that you need a dependency for X11. When the installation is complete, repeat this step from the beginning.
    5. Check the installation path for R packages with the commmand .libPaths(). Packages should be installed in the library directory inside R folder.
    6. For more information about the installation process see the: R installation guide.
  4. Give permissions to the BEW folder to execute the program.
  5. Before execute BEW, you have to modify the run.command and change the $R_HOME variable in order to put your real path to R.
  6. Execute BEW using in a terminal the following command: ./run.command.
  7. It's highly recommended execute the Update R Packages operation to refresh R packages.

1.4 Remove BEW

The only thing you have to do is remove the BEW folder from your system.


2 BEW operations

2.1 Operations in groups

Operations divided into different groups. The first group contains the operations related to the management of the experiments and associated methods of analysis, as listed below:

  • Create experiment
  • Edit experiment
  • Delete experiment
  • Display experiment
  • Save experiment
  • Load experiment
  • Export experiment
  • Import experiment
  • Add data from methods
  • Edit data from methods
  • Display data from methods
  • Delete method
  • Display data replicates
  • Display condition from methods
  • Inter-lab comparison of experiments

The second group is for reporting operations. It encompasses data plotting and statistical analysis. The list of them is as follows:

  • Create plot
  • Edit plot
  • Delete plot
  • Display plot
  • Save plot
  • Print plot
  • Execute Statistical test
  • Delete Statistical test
  • Display Statistical test
  • Save Statistical report
  • Generate HTML report

The third group contains operations related to BiofOmics communication. These functionalities include downloading and uploading experiments from/to BiofOmics.

  • Download Experiment
  • Upload Experiment

The fourth group contains metadata operations. These functionalities support update of the metadata used in BEW and update of packages.

  • Create Conditions
  • Create Condition values
  • Update Methods and Conditions from BiofOmics
  • Update R packages

The fifth group inside BEW help for the operations and BEW about.

  • BEW help
  • About

The next sections describe the groups of operations in more detail.


3 Management operations

3.1 Main Window

From BEW's main window, the user can access the operations listed above. Either from the tool bar, which will unlock operations as data becomes available in the clipboard, or from the menu bar.

BEW main menu

The Clipboard is located on the left side of the menu. In this area the program stores the experiments and any other object that the user might create, enabling a fast and easy access to the information.

The central part of the window (Content Panel) is used to visualize the details of the experiment at different levels. For example, when the user selects the experiment in the clipboard, this panel displays the basic information about the experiment.



3.2 Create an Experiment

In BEW, the user can create a new Experiment with any number of experimental conditions and including data from several methods of analysis . This process is carried out through multiple dialogues orchestrated as a stepwise Wizard.


First Window - Experiment profile and Constant Conditions

At start, the user needs to cover the basic information of the experiment (also called Setup page), shown in the image below:

wizardSetup

Here, there are 2 areas of information:

  1. Basic information

    The user must fill in 3 mandatory fields: name of the experiment, name of the institution where it was conducted and email of contact. Additional information about the authors, date of execution and associated publication are welcome.

  2. Constant conditions

    Constant conditions are conditions that are considered by all the methods of analysis applied.

    The user should click on the button 'New Condition', which creates a new condition statment (row in the table). The user should then fill in all new rows (cells in red are uncovered), indicating in the column "Condition name" the name of the experimental condition, in the column "Condition value" the value for this condition, and in the column "Units" the units of measure (if applicable).

The bottom options

The buttons at the bottom of the main window are explained below:

wizardButtons

  • Previous: To display the previous page. The content of the window changes to a page previously created, if it exists.
  • Next: To display the following page. The contents of the window changes to a new page or to "Finalize" button. In order to move to the next page, the current page must be properly validated.
  • Finalize: To create the experiment with all the information inserted. This button is available only when the user inserted a minimum set of information and is this is valid.
  • Add Method: Allows the user to insert a page for a method of analysis.
  • Validate: Allows the user to validate the information provided in the current page. The program verifies that the information is correct in terms of structure and metadata. If the information is not correct, the program will prompt an error.
  • Delete Page: Allows the user to delete the current page. This is only possible for method pages, since the initial setup page cannot be deleted without deleting the whole experiment. When the user deletes a page, the window changes, and displays the previous one.
  • Save As...: Saves the state of the current experiment to a file, including the data associated to the methods of analysis. All pages must be properly validated.
  • Exit: The user can exit the Wizard, having completing or not the creation of the experiment.

Second Window - Method page

Once the Setup page is covered, the user can decide to end the creation of the experiment without adding any method of analysis for the time being. Otherwise, he should click on "Add Method" button to access the method creation window (or method page).

wizardMethod

The window is divided into 3 areas of information:

  1. Method of analysis

    The user must select the method from the list provided by BEW whilst it may be manually extended (see manage methods section) by the user. In addition, the user can specify the units of measure that are associated to the analysis (if applicable).

  2. Conditions in test:

    The user has to indicate the number of conditions tested by the method of analysis and press the "Add" button. This will create the corresponding table. The table should has as many conditions are created in the table as the previously selected number are created.

    Now, the user must specify the name of the conditions. This is done by clicking on the first column of the table.

    Similarly, should indicate the number of values for each condition. Keep in mind that the program manages hierarchical (tree-alike) data structures.

    The user should also specify the units of measure of created condition (wherever applicable).

    Finally, he should click on "Create data table" to create the data table.

    wizardMethod2

  3. Data:

    After the user specifies the number of conditions and the condition values to be considered, BEW automatically creates the data table. Then, the user has to fill in the cells in green. BEW provides controlled vocabulary for several commom test conditions, but the user may also create conditions of his own (see vocabulary management section).

    The user can introduce experimental data by clicking on "New replicate".

    wizardMethod3

Once data insertion is completed, the user can check that all the values are correct (in form and structure) using the "Validate" button. If succeeded, the user is presented with two options: finalize the experiment or keep adding pages for methods of analysis.


3.3 Edit an Experiment

The user can select the operation from the toolbar. The user may update any information in the description of the experiment or about the general set of conditions applying to the entire experiment.

editExp


3.4 Delete an Experiment

To delete an experiment just right click on its icon in the Clipboard and select the option "Remove element".


3.5 Display an Experiment

To view an experiment just left click over it in the Clipboard and its corresponding viewer will be displayed in the central panel.

displayExp


3.6 Save an Experiment

This operation allows the user to save the experiment in local a file. To do this the user must select the icon of the operation when it becomes available and then, indicate the desired location for the file.


3.7 Load an Experiment

This operation allows loading an experiment saved in .xml format.

loadExp

First, the user must specify the file to load by pressing the button "Open file" and select the location in the hard disk. Once selected, the user must proceed by pressing the Ok button.

The program will load the file automatically. If an error occurs during this process, it notifies the user via a pop-up dialog.


3.8 Export an Experiment

This operation allows the user to save the experiment in local file. To do this the user must select the icon of the operation when it becomes available. The experiment can be stored in xls.


3.9 Import an Experiment

This operation allows the loading of an experiment saved in .xls format.

loadExp

First, the user must specify the file to load by pressing the button "Import file" and select the location in the hard disk. Once selected, the user must proceed by pressing the Ok button.

When importing a .xls file, it is necessary to perform a series of steps (structuring and validation) to be able to load it with success in the program. These steps are explained below:

The first window shows the profile data of the selected experiment. If the .xls meets the structure required by the program, the form fields will be filled in with data, otherwise the user must cover them by hand.

loadExpSetup

Once this Setup page has no errors, the Next button may to be used to import data associated with the analysis methods.

The contents are similar to what the user can see when a method is edited (operation explained in section edit Method). If the file structure is correct, the data will be placed in the corresponding form fields and tables, as exemplified in the following image.

loadExpMethod

The data table requires additional curation. It is necessary to indicate which are the condition types and the condition values tested by the method. This step is only neccesary if the user doesn't import a xls file with the accepted structured by BEW (see XLS section). To do this, the user must select the cells containing the values of a given condition and press the button "1. Name conditions". The Conditions table (at the second half of the pane) will show as many rows as selected in the table above. The user must indicate the type, # of values and units of measure of each condition.

loadExpMethod2

The button "2. Check Conditions" can be used to edit the data table, e.g. to modify the values of conditions.

loadExpMethod3

The button "3. Delete all Conditions" deletes all the rows that are created in the Conditions table. This could be useful if the user selects invalid conditions in the Data table.

loadExpMethod4

Once all these steps are performed, the Validate button should be used to verify that everything is correct. If there are no errors, the user may click in the Finalize button to finish importing the experiment or the Add Method to account for more analytical results.


3.10 Add data from methods

This operation allows the user to add a method to an existing experiment.

When the user executes this operation an initial dialog displays the following message:

addMethod

The user can choose if he wants to create a new empty method or copy an existing one from the same experiment. That is:

  1. New empty method

    In the method field, the user must select "New empty method". The window presented has no contents, requiring that the user covers all data fields. Its use is recommended if the user wants to create a completely new method (e.g. one testing a different set of conditions or condition values).

    addMethodEmpty

  2. Copy method

    The window shows the same conditions and values of condition as the copied method. The user only has to enter new data or make any desired modifications. Its use is recommended if the user wants to quantify the same tests in different ways or wants to make small modifications to the set of conditions, or conditions values, tested.

    addMethodCopy

The way to create a new empty method is explained in the section about creating an experiment.

The way to copy a method is explained in the section about importing an experiment.


3.11 Edit data from methods

This operation is similar to load experiment operation, except that in this case the program knows in advance the conditions of the method, which are already reflected in the Conditions table and may already have some data on the Data table.

editMethod


3.12 Delete a method

To delete a Method just right click on it in the Clipboard and select the option "Remove element".


3.13 Display data from methods

This operation allows the user to visualize a method. To do this simply left click on it in the Clipboard. The information will appear in the central panel, as exemplified below.

editMethod


3.14 Display data replicates

This operation allows the user to visualize a DataSeries. To do this simply left click on it in the Clipboard. The information will appear in the central panel, as exemplified below.

displayDS


3.15 Display conditions from methods

This operation allows the user to visualize a method Condition. To do this simply left click on it in the Clipboard. The information will appear in the central panel, as exemplified below.

displayMethodCond

3.16 Inter-lab comparison of Experiments

The comparison of results from multiple experiments goes as follows:

compare

  1. Indicate the number of intraExperiments to compare and press the button "Create fields". The number of intraExperiments that are currently in the system are indicated right on the top of this button.
  2. Once the user presses the button the program creates as specified. The user must specify the following information:
    • Experiment name: Select the intraExperiment.
    • Name of the method: Select the method from the intraExperiment.
    • Color: Select a representative color for the method.

To perform a comparison, the selected methods must be identical. Moreover, they must have the same number and type of conditions.

compare2

Once the user selects the information he must press the Ok button to proceed with the following dialogue.

compare3

This window is divided into 2 areas:

  1. Basic information

    This part of the form has 3 mandatory fields: name of the experiment, organization that is performing the comparison and email of contact.

  2. Methods view

    It displays the data from the selected methods of each Experiment. Here, the user must select rows from each table. The selected rows are marked in cyan.

The following image shows an example with cover information and with several rows of a method selected.

compare4


4 Analytical operations

4.1 Create plot

This option becomes available as soon as there is at least one experiment with analytical results associated (method objects).

To create a plot the user should indicate the experiment and specifically, the method of analysis, to be considered. Then, the user should choose the type of the plot to be constructed.

addPlot

There are two types of plots in BEW:

  • Bar chart -> Plot with bars. The most common type in plot data reporting.
  • Point chart -> Also known as ScatterPlot. This plot requires a condition time in the method.

addPlot2

While specifying the data series in the plot, the user is presented with a window divided into 3 areas or fields. They are listed below:

  1. Method table

    The user must select the data to be plotted. Keep in mind that it is mandatory that both data and conditions are selected. The user must select all the condition values belonging to the same parent. Below is, an example of an erroneous selection:

    addPlot3_Invalid

    The figure shows the selection of the copper, *stainless steel* and polyvinyl chloride condition from different parents (*escherichia coli*#2 and *escherichia coli*#4, in organism and *shear force* condition). The correct selection would be:

    addPlot3_Valid

    When the user selects the data correctly.

  2. Plot design

    The Plot Design field is filled with the selected data, distributing them between the 2 lists. If the user sees that these are correct, he must press the button Create Plot.

  3. Plot preview

    Once done, a preview of the chart is created in the field Plot Preview. If the preview is correct the user may press the Ok button to add it to the method (Note: If the Cancel button is pressed, the plot is not stored).

Note: For time plots the procedure is the same. The only difference is that if the method has several time conditions, the user may, once the plot is previewed, move the time columns in the method table to change the axes of the chart.


4.2 Display a plot

To display a plot, simply go to the Clipboard and select it with the left mouse click. This opens the viewer with the data in the central panel of the main window.

The user may then touch up the plot in terms of legends, axis marks, and other editable properties (see section edit Plot). Also, he may save it as a .png file (see section save Plot).

viewPlot


4.3 Edit a plot

To edit a plot the user should select it in the clipboard and click on the Properties button to change values.

editPlot


4.4 Delete a plot

To delete a plot, select it in the Clipboard and with the right button of the mouse pressed Remove element.


4.5 Save a plot

To save a plot to an image file, the user should select the plot in the clipboard and open the corresponding viewer. Then, press the Save As button and select the desired location in the hard drive.

savePlot


4.6 Print a plot

To print a plot select it and open the corresponding viewer. Then, press the Print button and select the printer and printing options.

printPlot


4.7 Calculate statistic test

This operation requires that the experiment has associated at least one data table.

addTest

The program shows the different experiments in the clipboard and the associated methods of analysis, and the statistical tests available. The user should decide which tests are the most appropiate to conduct the desired analysis.

In BEW, there are 4 large groups of tests:

  • Outlier detection
  • Normality validation
  • Homogeneity validation
  • Variance analysis

After selecting the desire analysis test, the program opens a new window, showing the data associated with the experiment and method selected. The user may choose to apply the test to all the data or only a subset.

addTest2

As shown in the above figure, the window is divided into 2 areas.

  1. Data (< Experiment_name:Method_Name>)

    The panel enabling data selection.

  2. Output view

    The panel outputting test's results, including any derived plot.

    Keep in mind that if the volume of data is large, the plot may become hard to read. In these cases, it is recommended divide the data in several tests.

    addTest3

NOTE: If for any reason, the program throws an error when performing calculations, it is recommended to accomplish the update packages from R operation (see section update R packages).


4.8 Delete statistical results

To delete statistical results select it in the Clipboard and press the right button of the mouse. Then, select Remove element.


4.9 Display statistical results

To view a statistic, go to the Clipboard and select it with the left mouse click. This open the viewer with the data in the central panel of the main window.

viewTest


4.10 Save statistical results

To save statistics select them in the Clipboard with left mouse button.

  • With the button Save Plot as Image -> User can save the plot as an image.
  • With the button Save HTML report -> User can generate a HTML report for the statistical test.

4.11 Generate HTML reports

This operation generates a customised report about an experiment in HTML format.

reporting

The dialog is divided into 3 areas:

  1. Directory selection

    The user should indicate the local directory in which to save the report. Press the button Select directory and select a valid directory on the local machine.

    reporting2

  2. Experiment selection

    The user should indicate the experiment to be reported. The user can select them from the experiment selection list.

    reporting3

  3. Reporting options

    Once the experiments are selected, the user can see that additional information are generated in the dialog. The program creates as many tabs as selected experiments. The user should then indicate which information he wants to include in the report of each experiment. The user may include basic information, constant conditions, method information and method data (including plots and statistical tests).

    reporting4

Once everything is specified, the user must press the Ok button to generate the report. In this example, we have selected all the possible options.


5 BiofOmics

5.1 Download an Experiment from BiofOmics

This operation allows the user to download Experiments from BiofOmics database.

download1

In the Login area the user may login with his user account in BiofOmics. It is necessary that the user is logged into the system to list their private experiments. If the user doesn't have an account in BiofOmics, he can only view public experiments.

If the user signs in BiofOmics, using the Login formulary, BEW will show public and private experiments for this user, otherwise it shows only public experiments.

download2

The user may use the search field to find experiments in the list. For example, in the image shown below, the user is searching for experiments authored by someone named "nuno":

download3

Once the user selects an experiment, BEW displays a window like the one shown below:

download4

Once the user selects the experiment that he wants to download, he should indicate the desired location.

download5

NOTE: The user needs Internet connection to perform this operation.


5.2 Upload an Experiment to BiofOmics

This operation allows the user to upload Experiments from BEW to BiofOmics database. This operation becomes available as soon as there is at least one experiment in the clipboard.

upload1

In the Login area the user sign in his BiofOmics account.

From the Experiment list area, the user should select the experiment to be uploaded.

NOTE: The user needs Internet connection to do this operation.


6 Utilities

6.1 Manage Conditions

Bew operation is supported by metadata supplied by the biofilms community repository BiofOmics. Metadata includes the controlled vocabulary on the experimental methods of analysis, and different kinds of experimental conditions (e.g. adhesion materials, culturing media and antimicrobial products).

Besides, granting access to these metadata, BEW allows the user to add new metadata. Currently, the user may create 3 types of conditions:

  • Numeric: These conditions require the introduction of a name for the Condition in its text box as shown in the following image.

    Numerical

  • Nominal: These conditions imply the specification of a set of values, one by one.

    Nominal

  • Metacondition: This is a special type of condition that results from the combination of values from pre-existing and individual conditions. For example, the user may create a metacondition specifying a pre-defined medium supplemented with a given substance.

    Metacondition

With this operation the user can add a new condition to the program files for use in future creations of experiments. When user click on this operation, the program opens a window like the one shown below:

addCond

Initially the user has the area Introduces Condition to indicate the name of the new condition and the type. The type of condition can be two fold:

  • Numerical:

    For example the temperature, it can takes from 0 to infinity.

    introNumerical

  • Nominal:

    For example, a set of antimicrobials.

    introNominal

If the user indicates that the condition is numerical he does not have to do anything else. On the other hand, if the user indicates that the condition is nominal, the program creates another area in the dialogue.

Here, the user must indicate the values that have this condition. The user can create an empty nominal condition and include these values at a later stage, the operation of Add condition values. The button New Condition value is used to enter the value. Then, the user has to write the value of the condition in the text box.

Once the user finishes creating conditions must press the Finish button to accept changes.

Note: when using the condition and condition values created from these operations, they are displayed between **. This is because they are condition and condition values that are not validated by a curator.


6.2 Manage Condition values

With this operation the user can add new condition values to nominal conditions. Once the user press the icon for this functionality, the program displays a window like the one shown below:

addCondValue

In the Select Conditions area the user should indicate the nominal conditions for which he wants to include new values. To do this, the user has to select the condition with the left mouse button from the left list to the list on the right.

The program creates as many tabs as selected conditions. Simply navigate among them and press the button New Condition value to create values wherever needed.

addCondValue2


6.3 Manage methods of analysis

With this operation the user can add new method of analysis to BEW. Once the user press the icon for this functionality, the program displays a window like the one shown below:

manageMethods

To add a new method, the user must click in the Add method tab. Then, he can put the name and the units in the appropriate fields.

manageMethods2


6.4 Update metadata from BiofOmics

This operation allows the user to update their metadata from BiofOmics.

updateMeta

As illustrated, the user has 3 options to update the Metadata:

  • Overwrite Conditions:

    If the user checks this option, the operation will overwrite the user created Conditions.

  • Overwrite values:

    If the user checks this option, the operation will overwrite the user created Condition values.

  • Update Methods:

    If the user checks this option, the operation will update the Methods.

NOTE: The user needs Internet connection to do this operation.


6.5 Update R packages

This operation allows the user to update the statistical packages. It is recommended to execute such update if statistics operation fail.

R must have the following packages installed:

  • car_2.0-xx
  • fBasics_xxxx
  • MASS_7.3-xx
  • multcomp_1.x-xx
  • mvtnorm_0.9-999x
  • nnet_7.3-x
  • nortest_1.0-2
  • outliers_0.14
  • R2HTML_2.2.1
  • stabledist_0.6-x
  • survival_2.37-x
  • timeDate_xxxx.xx
  • timeSeries_30xx.xx

The user can check if these packages are installed in the R library directory by executing the command ".libPaths()" inside R console to find this directory. If a package is not installed, the user must install it using R console.


7 Others

7.1 XLS files structure

XLS files need to have a correct structure to import them in BEW. The files need two mandatory sheets listed below.

bewHelp

  1. Experiment Setup: In this sheet the user has to put the experiment basic information. The fields are shown in the image below and all of them are self-explanatory.

    bewHelp

    If the user doesn't know the BiofOmics ID of the experiment he must leave the cell blank.
  2. Constant Conditions: In this sheet the user has to put the experiment constant conditions (if applicable) like in the image below.

    bewHelp

    The first column is for condition name, second column is for condition values and third column is for condition units.

Besides the mandatory sheets, the user can create optional sheets for methods of analysis. The user can create from 0 to N methods per file. For this example, the user created one method called PNA FISH. The structure of this sheet is as follow:

bewHelp

  • The first row is used to indicate the units of the method.
  • The second row is used to indicate the number of conditions in this method. In the example, the method has 3 conditions.
  • The third row is used to indicate the name of the conditions in the method. As the user indicates that there are 3 conditions in the second row, three different names appear here. If the user doesn't know the name of a condition he can leave the cell blank.
  • The following rows are used to indicate the values of the method.

7.2 BEW help

BEW provides a help menu. In addition, each complex dialogue generated by the software has a button that allows the user to deploy specific support.

bewHelp


7.3 About

Provides information about BEW development.

about