Sentence examples for quality of raw data from inspiring English sources
Overlay plots are useful again to assess the quality of raw data.
The MA plots and box-plots were applied to assess the quality of raw data and effect of normalization.
MA plots, boxplots and surface plots for raw and normalized data for each microarray were prepared to check the quality of raw data and the effect of normalization.
The first group comprises the technical issues such as low quality of raw data, contamination by genomic DNA, inaccurate contig assembly and wrong choice of search parameters (e.g. too stringent e-value cut-off).
Quality control of raw data was carried out using the software package arrayMagic (Buness et al, 2005).
Poor-quality sequencing reads can adversely affect the assembly process (Salzberg et al., 2012), and we observed that quality-based trimming of raw data gave ∼15-fold improvements in N50 statistics.
There are several good summaries of raw data quality, but it is common to aim for coverage with high-quality bases to reach 20× or greater in 80 95% of the protein-coding sequences in each genome, after removal of ambiguously mapped reads and of duplicated reads (4, 55).
We envision this tool will be particularly useful for assessment of raw data quality following the identification of microarray features that were differentially expressed in a statistical comparison of two or more sample groups.
Preprocessing of raw data included quality control, verification of de-multiplexing, trimming the reads when necessary, and re-pairing.
Graphical representation of these mapping attributes, mapping percentage and mapping speed, for both aligners and a comparison between the handling of raw data and quality data is shown in Figure 1.
For individuals with low-quality flickery data (i.e., short duration of raw data segments), the standard dispersal-based algorithm consistently underestimates fixation duration, relative to the hand-coding, whereas for individuals with higher-quality data (i.e., long raw data segments), the algorithm consistently overestimates fixation duration.
