Search Results for "data collection algorithm"

The PUMA Repository is a collection of Pascal units for medical informatics. It contains reusable source code for a wide field of health-care application development. The code includes a support engine for the European Data Format (EDF and EDF+), converting functions for units of measurement and an HL7 engine. PUMA is compatible with Lazarus and Free Pascal. Some of the units also support other Pascal implementations including Delphi, winsoft Pocket Studio and other compilers.

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/

For comparative plus/minus spreadsheet data, Coulson Plot Generator application creates a multiple pie diagram, for a rapid visual comparison of subunit occupancy across a range of entities. Numbers of pies, segments, labels and colours are customisable. Creates an editable PDF from a comma separated text file. Now with zoom capability and more memory, for larger datasets. Save images in several formats including SVG.

A collection of Visual Basic macros and a template for the analysis of terminal restriction fragment length polymorphism data using Microsoft Excel.

DeNovoCheck is intended to be used for inheritance analysis in NGS tio data. For rare dominant Mendelian diseases, patient-parent trios are often used to reduce the number of candidate variants. The algorithm bases the inheritance prediction on the data available in the parental BAM files and allows for a fast and reliable selection of potential de novo variants.

The RDXplorer is a computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage. CNV detection is based on the Event-Wise Testing (EWT) algorithm recently published by our group.