Sentence examples for difficulty of manipulation from inspiring English sources

Traditional biochemical and genetic approaches to dissecting these mechanisms are largely unavailable due to the difficulty of manipulation of the parasite both in vitro and in vivo; e.g., the parasite cannot be continuously cultivated and no genetic system is available for it.

The major limitation of this study was the difficulty of manipulation of the experimental resin due to the absence of filler particles.

As users start with great anticipation, they end up with dissatisfaction due to difficulties of manipulation or physical tiredness coming very short.

While there are few studies directly investigating the role and molecular mechanisms of Drp1 in cardiac tissue (due to the aforementioned difficulties of manipulation and imaging in the heart), those studies conducted on cardiac tissue, have focused mainly on the involvement of Drp1 in apoptosis.

However, the main difficulty of contact manipulation is releasing micro-objects adhering to the manipulator because of large adhesion forces.

Part of the reason for this gap can be attributed to the difficulty of symbolic manipulation and display of complex equations and graphs.

Genetic engineering of Halomonas spp. was seldom reported due to the difficulty of genetic manipulation and lack of molecular biology tools.

Considering the notorious difficulty of genetic manipulation in stem cells, it is necessary to determine the ability of type III secreted proteins to localize to the mESC nucleus and maintain function.

Furthermore, unpredictability of prey movement may enhance confusion, but both factors have received insufficient attention from empiricists: undoubtedly because of the difficulty of experimental manipulation in natural systems.

However, studies of genetic basis of within-population diversification of Pseudoalteromonas and the ecological consequences of diversification have been very limited, mainly due to the difficulty of genetic manipulation of bacteria within this genus.

Indeed, since the end of the 1990s, the difficulty of access, manipulation, and analysis of large amount of heterogeneous data has been addressed by different IT companies from the web and BI fields, developing NoSQL databases, high performance analysis tools and Big Data visualization solutions.