During the whole life, school education gives people an overall, systematic and in-depth influence, and this period is an important process for learning and self-shaping of people (Wang, 2007).
"I'm exploring more in-depth influences in my life like culture, food, colors, diversity and my upbringing".
To assess how changes in sequencing depth influence RNA-Seq-based analysis of differential gene expression in bacteria, we sequenced rRNA-depleted total RNA isolated from LB cultures of E. coli O157 H7 strain EDL933 (from hereon referred to as EDL933) at the late exponential and early stationary phases.
We have conducted a systematic analysis of how changes in sequencing depth influence the profiling and comparison of transcriptomes by RNA-Seq in diverse bacterial species and growth conditions.
We first used these sampled datasets to determine how changes in sequencing depth influenced the detection of transcripts in two independent biological replicates.
In addition, the developed numerical tool is used to perform several parametric studies and sensitivity tests in order to analyse in depth the influence of the most important parameters on the plant operation and economic behaviour.
The reduced model allows investigating in depth the influence of the in-plane orientation and the loading angles on the crush behaviour with minimum time calculations in accord with the validity range.
At the time, 2011, he didn't really know who McLuhan was—so he started withThe Gutenberg Galaxy,which discusses, in depth, the influence of the printing press on modern culture.
At the time, 2011, he didn't really know who McLuhan was – so he started withThe Gutenberg Galaxy,which discusses, in depth, the influence of printing press on modern culture.
We investigate in depth the influence of the various parameters of the method, and show that a fine parameter tuning can lead to significant improvements and state-of-the-art performance for GRN inference, in both directed and undirected settings.
We furthermore investigate in depth the influence of the various parameters of the method, and show that a fine parameter tuning can lead to significant improvements and state-of-the-art performance for GRN inference.
