2658-6533Research Results in Biomedicine2658-653310.18413/2658-6533-2020-6-1-0-11957Genetics<strong>New data collection priority: focusing on genome-based bioinformation</strong><strong>New data collection priority: focusing on genome-based bioinformation</strong>HengHenry H.HengHenry H.hheng@med.wayne.edu20206100

Genetic research used to be data-driven under the framework of well-established gene theory. With the advance of various-omics technologies, large-scale data generation has become routine. However, data analyses have unexpectedly become extremely challenging due to the highly heterogeneous nature of bio-data. Furthermore, these diverse data sets seem to be inconsistent with some key predictions of gene theory. To briefly address this new reality, this editorial suggests a new genome theory to explain the new facts. By briefly comparing cytogenetics and gene sequencing research, the importance and key principles of chromosomal coded bioinformation is highlighted in the context of evolutionary studies and disease research.

Genetic research used to be data-driven under the framework of well-established gene theory. With the advance of various-omics technologies, large-scale data generation has become routine. However, data analyses have unexpectedly become extremely challenging due to the highly heterogeneous nature of bio-data. Furthermore, these diverse data sets seem to be inconsistent with some key predictions of gene theory. To briefly address this new reality, this editorial suggests a new genome theory to explain the new facts. By briefly comparing cytogenetics and gene sequencing research, the importance and key principles of chromosomal coded bioinformation is highlighted in the context of evolutionary studies and disease research.

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