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The efficient and integrated visualization and reuse of multidisciplinary simulation data are imperative for the development of complex products.
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Database URL: http://www.informatics.jax.org/ The ability to curate disease-related data is imperative for many databases.
Given the paucity of IEDB records containing explicitly specified curated quantitative data suitable for benchmarking B-cell epitope prediction to produce antipeptide antibodies that mediate biological effects, large-scale accumulation of these data is imperative for further development of B-cell epitope prediction methods.
For the successful monitoring and assessment of trends in tree populations over longer time intervals baseline historical data is imperative.
Adequate preventive methods are imperative for a successful management.
Therefore, despite the difficulties in generating, analysing and managing genomic data, it is imperative for the future of conservation science that researchers embrace these new technologies and modify to purpose.
Improved data quality on diagnostic coding is imperative for future research purposes to better understand the role of diagnosis as a driver of LOS and resource use as part of a funding system.
Appropriate validation of reference gene stability is imperative for accurate data analysis and interpretation.
We conclude that the adoption of a consistent and semantically-enabled chemical specification is imperative for surviving the coming chemical data deluge and supporting systems science research.
Nomenclature is imperative for the standardization of marker data.
Therefore, it is imperative for the inherently existed and generated data during cascading failure analysis to be explored and exploited elaborately further.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com