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Figure 3 shows key steps in data handling processes.
Marker selection is the most important step in data handling.
Advances in theory, methods and data handling provide new opportunities.
HK managed the data handling.
The advancements in data computation and collection are enabling farming to be run as efficiently as a Silicon Valley tech company — with precision, data-driven decisions and automation.
Advancements in data integration, deployment and analytics present opportunities to optimize our business, from demand management in the supply chain, to inventory and labor management in our restaurants.
Differentiation between the tools and the improper utilization is important lest businesses start having to feel apologetic and tentative in striving for advancements in data science and analytics.
Advancements in data mapping are helping to facilitate consumer recognition across devices, channels and media formats.
Already, the drive to connect the world has resulted in remarkable advancements in data compression and storage technologies that are helping make data affordable for developing world.
Ongoing genome quality control and annotation programs are necessary to accompany technological advancements in data generation.
We are confident that technical advancements in cell lines handling will facilitate CSCs studies, positively influencing oncological research improvement in the near future.
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