Unlock Rapid Analyses Across the Whole PDB Using BinaryCIF скачать в хорошем качестве

Unlock Rapid Analyses Across the Whole PDB Using BinaryCIF

As macromolecular structures available through the Protein Data Bank (PDB) archive continue to grow in complexity and size, traditional text data formats like PDBx/mmCIF and the legacy PDB file format are becoming increasingly inefficient for transfer and parsing. To support scalable data analysis, binary formats and compression techniques are now essential. Learn how to future-proof your data analysis with BinaryCIF, a fully interchangeable yet drastically more efficient flavor of the PDBx/mmCIF format. BinaryCIF not only boosts storage efficiency, but also substantially improves parsing speed, making it ideal for large-scale analyses. BinaryCIF is supported by resources such as RCSB PDB, PDBe, and AlphaFold DB. To access more information along with supplementary materials visit https://pdb101.rcsb.org/train/trainin... Video Sections: 00:00 Introduction 01:06 CIF, mmCIF, and BinaryCIF Basics. Create archive-wide statistics with Java 26:16 Working with mmCIF and BinaryCIF in Python 46:20 Q&A