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NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/

...I created this utility when we were migrating to a new platform and needed a quick way to create flatfile and relational sources and targets that matched the DDL of the table. I also needed to use shortcuts. If you use the import table list, it will create one XML file with all of the tables and shortcuts (if a shortcut folder is specified) for the requested output type and database/file type.

...Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number of file formats, and even the possibility to link to JDBC databases. Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory.

...Relation Tags are tags which can be relationed together . For example tag "Paris" and tag "France" can be relationed with a relation "is part of". This code is created from 0 and is able to define which type of relation we use, using most elemental mathematic properties. It is strongly recommended to read "Relation Tags guide for programmers". Inside source zip, also contains dialogs for set properties of this extended tags. All this dialogs files finish either with "...dlg.cpp" or ",,,dlg.h". Please read "readme" file. It is recommended to use a binary matrix class like BinMatrix in order to have enough speed for calculations of implicit relations in a system of bogus tags with big data. ...

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.