Sentence examples for manual data processing from inspiring English sources
While there have been constant improvements regarding the alignment and the peak calling steps in ChIP-Seq experiments, comparatively little efforts have been made in order to automate the entire process and reduce any possible impact of manual data processing on the final results.
He reminded researchers to be aware of the possible pitfalls of manual data processing if the goals are not adequately well-defined.
Our AFM-based approach has so far been dependent on manual data processing, which is both time-consuming and prone to operator bias.
This paper describes a case study to show the necessity and potential value of automating the manual data processing workflows being executed for extracting geometric data items (surveying goals) from 3D point clouds, and presents an approach for formalizing these workflows to enable such automation.
In general, manual data processing only considers average values of data and largely ignores variation.
Despite its limitations, an automated video processing method allows one to have access to a much broader range of information than the results provided by the traditional manual data processing approach.
In a larger barley study, Wenzl et al.[ 41] produced a 2935 loci composite map from ten mapping populations using JoinMap 3.0 [ 51] in combination with specially built Perl scripts and reported that the project required several months of semi-manual data processing [ 41].
The marginally lower quality of the locus order and the less precise map distances, however, are more than offset by the ease and speed of map construction (approximately 10 min of computation time) compared to the alternative JoinMap/perl method (several months of semi-manual data processing).
Once a simulation completes, some core material properties cannot be directly acquired which need some manual post-simulation data processing.
Its use entailed a substantial degree of manual setup and data processing, making field deployment of multiple PMUs a logistical challenge.
Isn't it a bit hard to automate the bespoke manual pieces of data processing that businesses need to do to tie up their usage of various SaaS platforms?
