Sentence examples for datasets with the potential from inspiring English sources

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The increasing availability of TSS seq data allows for revision of existing gene annotation datasets with the potential of identifying new transcriptional units.

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Finally, all our experiments were based on real datasets with all the potential complexities, such as sequence errors, heterogeneous sampling of reads from different organisms or different genomic regions, as well as biases arising from different techniques for sample preparation and sequencing.

Hence, we believe that a serious analysis, both on theoretical and on empirical side of the influence of these factors on the general structure of mobile phone networks may lead to a general framework, allowing to interpret differences between results obtained on several datasets with the knowledge of potential side-effects.

This was important with the large datasets as the potential number of comparisons would be too large to process without the blocking step.

Consistency with evidence from external datasets indicated the potential validity of these measures for studying life-course SEP in population surveys.

Agreement within sets of questions and consistency with evidence from external datasets indicated the potential validity of these measures for use in studying life-course SEP in cross-sectional population surveys of older people.

This adds high quality detailed datasets in specific areas and, with the potential for anonymous record linkage, it enables long-term follow-up of longitudinal cohorts.

Such performance may enable complex analyses of voluminous sequence datasets, and has the potential to interoperate with other hardware architectures for protein sequence analysis.

Further studies could be carried out with these extended datasets with the possibility of identifying more potential candidates.

This dataset has the potential for extensive reuse.

We aim to develop a system that enables users in different regions to share a working environment for collaborative visualization with the potential for exploring huge medical datasets.

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