Background: Bioinformatics research comes into an era of big data. Mining potential value
in biological big data for scientific research and health care field has the vital significance. Deep
learning as new machine learning algorithms, on the basis of big data and high performance distributed
parallel computing, show the excellent performance in biological big data processing.
Objective: Provides a valuable reference for researchers to use deep learning in their studies of
processing large biological data.
Methods: This paper introduces the new model of data storage and computational facilities for big data
analyzing. Then, the application of deep learning in three aspects including biological omics data
processing, biological image processing and biomedical diagnosis was summarized. Aiming at the
problem of large biological data processing, the accelerated methods of deep learning model have been
Conclusion: The paper summarized the new storage mode, the existing methods and platforms for
biological big data processing, and the progress and challenge of deep learning applies in biological big