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GENERAL Description:
Advanced Description:
Main Description:
System Description:
OTHER Description:


GENERAL Overview

GENERAL Description
Oolong for jEdit helps you decompile java classes.
There are two main methods for decompiling:

Using the GUI mode. It automatically decompiles a java file and generates a UML diagram with class, method, and variable representations.

You can set a line number to jump to the first source line of the jEdit buffer.

Using the script mode. It can decompile java files and create an output HTML file that can be opened in Firefox to preview the decompiled java source code.
You have to set the output directory to where you want the decompiled java source to be saved.

Oolong for jEdit is divided into 3 main components:

A scripting engine
A GUI that can decompile and generate the hex codes of any file.
A GUI that can generate JAVA file with the help of the decompiled hex codes

The engine can decompile class files and generate code line numbers, debugging information, and other useful Java source code. The decompiler provides syntax coloring, block highlighting, code generation, and much more.

The GUI for decompiling is an easy to use java viewer that can decompile and preview any java file. You just have to set the file location and it will decompile the java file.

Supported Platforms:
This is an advanced Java decompiler for jEdit. It can be used on any platform with jEdit. You just have to install this plugin.

This is an advanced java decompiler. It requires the jEdit extension that can be downloaded from here. This extension can be downloaded from here.


When you are in jEdit plugin preferences there is a new check box named oolong. When it is checked you can use this plugin on the file. When it is not checked you can use it only on the file with oolong plugin.

You can start a decompiling with 2 methods

Using the GUI mode.

There are three modes:

Standard mode. This mode is an advanced mode. It 384a16bd22

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* Is a simple application to help you record macros in any application on your computer, save the macros in a text file and add the text file to your application
* Set the contents of the macro text file by mouse, keyboard or clipboard
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* Screen shot.A simple method for the efficient generation of anti-murine antibodies to post-translational modified proteins.
Antibodies are useful reagents for the study of post-translational modifications of proteins in which the immunogenic epitopes occur only transiently on the protein’s surface. Using the Edman-degradable peptide coupling strategy, we developed an efficient method for the generation of polyclonal antibodies to such proteins. In a single immunization, a purified polypeptide is covalently coupled to an N-carboxyamide derivative of Edman’s reagent. The resultant immunogen contains a complete antibody epitope and is suitable for eliciting antibodies to the protein of interest. In contrast to traditional immunization strategies using proteins as immunogens, the antigenicity of the resulting antibodies is essentially unaffected by the conformation and/or the natural post-translational modifications of the protein. The method also enables the generation of antigen-specific IgM and IgG antibodies that are of use in the study of post-translational modifications of proteins.Predicting renal function from serum and urinary amino acid concentrations.
Renal clearance of amino acids was measured in five patients with renal failure to assess whether amino acid concentrations in serum and urine were useful in predicting total renal clearance. Urine volume, measured to determine the volume of distribution, and plasma and urine amino acid concentrations were monitored at five-minute intervals for 70 minutes. The total renal clearance was calculated from the sum of the renal clearances of the individual amino acids. The serum concentrations of branched-chain amino acids (BCAA) were the most sensitive index of the renal clearance of amino acids. The combination of the serum BCAA concentrations and the 24-hour urinary creatinine excretion significantly improved the prediction of the total renal clearance of amino acids. Urine amino acid concentrations should be included



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