Reputation: 5154
I am trying to access a java program MELTING 5 in R using the rjava package.
I can do it using the system
function as follows using the batch file.
path <- "path/to/melting.bat"
sequence = "GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACTTCCAC"
hybridisation.type = "dnadna"
OligomerConc = 5e-8
Sodium = 0.05
command=paste("-S", sequence,
"-H", hybridisation.type,
"-P", OligomerConc,
"-E", paste("Na=", Sodium, sep = ""))
system(paste("melting.bat", command))
I am trying to do the same using a wrapper, following the steps in hellowjavaworld without any success.
.jaddClassPath('path/to/melting5.jar')
main <- .jnew("melting/Main")
out <- .jcall(obj = main, returnSig = "V", method = "main", .jarray(list(), "java/lang/String"),
argument = command)
The java code in melting/Main.java in the melting5.jar
that I am trying to access is as follows.
package melting;
import java.text.NumberFormat;
import melting.configuration.OptionManagement;
import melting.configuration.RegisterMethods;
import melting.methodInterfaces.MeltingComputationMethod;
import melting.nearestNeighborModel.NearestNeighborMode;
/**
* The Melting main class which contains the public static void main(String[] args) method.
*/
public class Main {
// private static methods
/**
* Compute the entropy, enthalpy and the melting temperature and display the results.
* @param args : contains the options entered by the user.
* @param OptionManagement optionManager : the OptionManegement which allows to manage
* the different options entered by the user.
*/
private static ThermoResult runMelting(String [] args, OptionManagement optionManager){
try {
ThermoResult results =
getMeltingResults(args, optionManager);
displaysMeltingResults(results);
return results;
} catch (Exception e) {
OptionManagement.logError(e.getMessage());
return null;
}
}
/**
* Compute the entropy, enthalpy and melting temperature, and return
* these results.
* @param args options (entered by the user) that determine the
* sequence, hybridization type and other features of the
* environment.
* @param optionManager the {@link
* melting.configuration.OptionManagement
* <code>OptionManagement</code>} which
* allows the program to manage the different
* options entered by the user.
* @return The results of the Melting computation.
*/
public static ThermoResult getMeltingResults(String[] args,
OptionManagement optionManager)
{
NumberFormat format = NumberFormat.getInstance();
format.setMaximumFractionDigits(2);
// Set up the environment from the supplied arguments and get the
// results.
Environment environment = optionManager.createEnvironment(args);
RegisterMethods register = new RegisterMethods();
MeltingComputationMethod calculMethod =
register.getMeltingComputationMethod(environment.getOptions());
ThermoResult results = calculMethod.computesThermodynamics();
results.setCalculMethod(calculMethod);
environment.setResult(results);
// Apply corrections to the results.
results = calculMethod.getRegister().
computeOtherMeltingCorrections(environment);
environment.setResult(results);
return environment.getResult();
}
/**
* displays the results of Melting : the computed enthalpy and entropy (in cal/mol and J/mol), and the computed
* melting temperature (in degrees).
* @param results : the ThermoResult containing the computed enthalpy, entropy and
* melting temperature
* @param MeltingComputationMethod calculMethod : the melting computation method (Approximative or nearest neighbor computation)
*/
private static void displaysMeltingResults(ThermoResult results)
{
NumberFormat format = NumberFormat.getInstance();
format.setMaximumFractionDigits(2);
MeltingComputationMethod calculMethod =
results.getCalculMethod();
double enthalpy = results.getEnthalpy();
double entropy = results.getEntropy();
OptionManagement.logInfo("\n The MELTING results are : ");
if (calculMethod instanceof NearestNeighborMode){
OptionManagement.logInfo("Enthalpy : " + format.format(enthalpy) + " cal/mol ( " + format.format(results.getEnergyValueInJ(enthalpy)) + " J /mol)");
OptionManagement.logInfo("Entropy : " + format.format(entropy) + " cal/mol-K ( " + format.format(results.getEnergyValueInJ(entropy)) + " J /mol-K)");
}
OptionManagement.logInfo("Melting temperature : " + format.format(results.getTm()) + " degrees C.\n");
}
// public static main method
/**
* @param args : contains the options entered by the user.
*/
public static void main(String[] args) {
OptionManagement optionManager = new OptionManagement();
if (args.length == 0){
optionManager.initialiseLogger();
optionManager.readMeltingHelp();
}
else if (optionManager.isMeltingInformationOption(args)){
try {
optionManager.readOptions(args);
} catch (Exception e) {
OptionManagement.logError(e.getMessage());
}
}
else {
runMelting(args, optionManager);
}
}
}
How to pass arguments in command
to public static void main
in java jar?
Upvotes: 1
Views: 307
Reputation: 78802
Over at https://github.com/hrbrmstr/melting5jars I made a pkg wrapper for the MELTING 5 jar (melting5.jar
) and also put the Data/
directory in it so you don't have to deal with jar-file management. It can be installed via devtools::install_github("hrbrmstr/melting5jars")
,
BEFORE you load that library, you need to set the NN_PATH
since the Data/
dir is not where the jar expects it to be by default and you may run into issues setting it afterwards (YMMV).
NOTE: I don't work with this Java library and am not in your field, so please double check the results with the command-line you're used to running!
So, the first things to do to try to get this to work are:
Sys.setenv("NN_PATH"=system.file("extdata", "Data", package="melting5jars"))
library(melting5jars) # devtools::install_github("hrbrmstr/melting5jars")
Now, one of the cooler parts of rJava
is that you get to work in R (code) if you want to vs Java (code). We can recreate the core parts of that Main
class right in R.
First, get a new melting.Main
object and a new OptionManagement
object just like the Java code does:
melting <- new(J("melting.Main"))
optionManager <- new(J("melting.configuration.OptionManagement"))
Next, we setup your options. I left Sodium
the way it is just to ensure I didn't mess anything up.
Sodium <- 0.05
opts <- c(
"-S", "GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACTTCCAC",
"-H", "dnadna",
"-P", 5e-8,
"-E", paste("Na=", Sodium, sep = "")
)
Now, we can call getMeltingResults()
from that Main
class directly:
results <- melting$getMeltingResults(opts, optionManager)
and then perform the same calls on those results:
calculMethod <- results$getCalculMethod()
enthalpy <- results$getEnthalpy()
entropy <- results$getEntropy()
if (.jinstanceof(calculMethod, J("melting.nearestNeighborModel.NearestNeighborMode"))) {
enthalpy <- results$getEnergyValueInJ(enthalpy)
entropy <- results$getEnergyValueInJ(entropy)
}
melting_temperature <- results$getTm()
enthalpy
## [1] -1705440
entropy
## [1] -4566.232
melting_temperature
## [1] 72.04301
We can wrap all that up into a function that will make it easier to call in the future:
get_melting_results <- function(opts = c()) {
stopifnot(length(opts) > 2) # a sanity check that could be improved
Sys.setenv("NN_PATH"=system.file("extdata", "Data", package="melting5jars"))
require(melting5jars)
melting <- new(J("melting.Main"))
optionManager <- new(J("melting.configuration.OptionManagement"))
results <- melting$getMeltingResults(opts, optionManager)
calculMethod <- results$getCalculMethod()
enthalpy_cal <- results$getEnthalpy()
entropy_cal <- results$getEntropy()
enthalpy_J <- entropy_J <- NULL
if (.jinstanceof(calculMethod, J("melting.nearestNeighborModel.NearestNeighborMode"))) {
enthalpy_J <- results$getEnergyValueInJ(enthalpy_cal)
entropy_J <- results$getEnergyValueInJ(entropy_cal)
}
melting_temp_C <- results$getTm()
list(
enthalpy_cal = enthalpy_cal,
entropy_cal = entropy_cal,
enthalpy_J = enthalpy_J,
entropy_J = entropy_J,
melting_temp_C = melting_temp_C
) -> out
class(out) <- c("melting_res")
out
}
That also has separate values for enthalpy and entropy depending on the method result.
We can also make a print helper function since we classed the list()
we're returning:
print.melting_res <- function(x, ...) {
cat(
"The MELTING results are:\n\n",
" - Enthalpy: ", prettyNum(x$enthalpy_cal), " cal/mol",
{if (!is.null(x$enthalpy_J)) paste0(" (", prettyNum(x$enthalpy_J), " J /mol)", collapse="") else ""}, "\n",
" - Entropy: ", prettyNum(x$entropy_cal), " cal/mol-K",
{if (!is.null(x$entropy_J)) paste0(" (", prettyNum(x$entropy_J), " J /mol-K)", collapse="") else ""}, "\n",
" - Meltng temperature: ", prettyNum(x$melting_temp_C), " degress C\n",
sep=""
)
}
(I made an assumption you're used to seeing the MELTING 5 command line output)
And, finally, re-run the computation:
Sodium <- 0.05
opts <- c(
"-S", "GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACTTCCAC",
"-H", "dnadna",
"-P", 5e-8,
"-E", paste("Na=", Sodium, sep = "")
)
res <- get_melting_results(opts)
res
## The MELTING results are:
##
## - Enthalpy: -408000 cal/mol (-1705440 J /mol)
## - Entropy: -1092.4 cal/mol-K (-4566.232 J /mol-K)
## - Meltng temperature: 72.04301 degress C
str(res)
## List of 5
## $ enthalpy_cal : num -408000
## $ entropy_cal : num -1092
## $ enthalpy_J : num -1705440
## $ entropy_J : num -4566
## $ melting_temp_C: num 72
## - attr(*, "class")= chr "melting_res"
You should be able to use the above methodology to wrap other components (if any) in the MELTING library.
Upvotes: 3