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We have moved to GitHub: https://github.com/crs4/hl7apy Since version 1.3.3, we no longer distribute hl7apy with SourceForge. Install it using pip (recommended) or download it from GitHub (https://github.com/crs4/hl7apy/releases)

Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/

CNV calling software may produce false-positive calls due to imperfect source material. Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls. With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the...