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After getting the read counts, data normalization is one of the most crucial steps of data processing, and this process must be carefully considered, as it is essential to ensure accurate inference of gene expression and subsequent analyses thereof.
The data normalization is one of the most crucial steps of data processing and this process must be carefully considered as it has a profound effect on the results of the analysis.
The proof-of-concept structure by Gonen and co-workers was achieved with comparatively unsophisticated data processing, and this resulted in many diffraction spots at high resolution being discarded: moreover, dynamic scattering effects were not taken into account.
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In this paper, we describe the data processing and analysis of this dataset.
The increasing demand for data processing and storage in this digital world is leading a significant growth of data centers, the size of which has grown from 1000's to a few hundred thousands servers [1].
The transcriptome data processing and writing of this manuscript were completed by ZXF.
Fully 3D datasets for developmental gene expression are becoming increasingly available; we discuss the prospects of applying 3D-SSA to data processing and analysis in this growing field.
The data processing and visualization steps of this study were adjusted to highlight specific aspects in relation to the three guiding empirical questions.
Additionally, this author performed some of the data processing and data analysis tasks for this study.
Furthermore, this author performed a significant proportion of the data processing and data analysis tasks for this study.
The SNP data processing and analysis pipeline presented in this study can easily be adapted to SNP discovery projects in other allopolyploid species.
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