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Identification and motivation of large scale e-commerce target audiences.
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These challenges include inadequate qualification and low motivation of educators, large class sizes, poor physical conditions at schools, lack of proper sanitation facilities especially in rural areas and widespread violence in and around schools.
Motivation: Meta-analysis of large gene expression datasets obtained from public repositories requires consistently annotated data.
Motivation: The analysis of large biological datasets often requires complex processing pipelines that run for a long time on large computational infrastructures.
Motivation: Accurate alignment of large numbers of sequences is demanding and the computational burden is further increased by downstream analyses depending on these alignments.
Motivation: Visualization and analysis of large numbers of biological images has generated a bottle neck in research.
More pragmatic motivations, like the expense of large amounts of university's network bandwidth being absorbed by students' proclivity for online entertainment, are also driving the renewed university efforts.
Motivation: The availability of large-scale curated protein interaction datasets has given rise to the opportunity to investigate higher level organization and modularity within the protein protein interaction (PPI) network using graph theoretic analysis.
The spectacular diversity of protein coding sequences in bacterial genomes is a major motivation for large-scale microbial sequencing efforts.
Motivation: The de novo assembly of large, complex genomes is a significant challenge with currently available DNA sequencing technology.
Motivation: With the increasing availability of large protein protein interaction networks, the question of protein network alignment is becoming central to systems biology.
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