Scalable Extraction of Big Macromolecular Data in Azure Data Lake Environment

Scalable Extraction of Big Macromolecular Data in Azure Data Lake Environment

Calculation of structural features of proteins, nucleic acids, and nucleic acid-protein complexes on the basis of their geometries and studying various interactions within these macromolecules, for which high-resolution structures are stored in Protein Data Bank (PDB), require parsing and extraction...

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Bibliographic Details
Main Authors: Dariusz Mrozek, Tomasz Dąbek, Bożena Małysiak-Mrozek
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Molecules
Subjects:
data processing
Cloud computing
Big Data
data extraction
data lake
parallel computing
querying
proteins
nucleic acids, macromolecules
3D structure
structural bioinformatics
Online Access:http://www.mdpi.com/1420-3049/24/1/179

Internet

http://www.mdpi.com/1420-3049/24/1/179

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