Sentence examples for realignment errors from inspiring English sources

Exact(1)

Common INDEL issues, such as realignment errors, errors near perfect repeat regions, and an incomplete reference genome have caused problems for approaches working directly from the alignments of the reads to reference [ 37, 38].

Similar(59)

The advantages of FIB-SEM over TEM tomography are (1) the ease of sectioning and image acquisition and (2) the chance of error during image realignment is minimized because serial images are acquired from a stationary block face.

Results show that the augmented information failed to affect the age-related variations of explicit knowledge, adaptive shifts, and aftereffects in a substantial way, whereas it clearly affected initial direction errors during practice and proprioceptive realignment.

The realignment was performed using ELAND with 2 errors allowed in the first 32 bases of a read.

Firstly, the transfer from the virtual plan to the actual realignment and fixation might leave room for error.

A Nanopore-specific aligner, marginAlign (Jain et al., 2015), has also been developed which begins with guide alignments produced by BLASR, BWA-MEM, LAST or LASTZ and produces a trained realignment based on a model of Nanopore error profiles.

To eliminate errors due to indel misalignment, local realignment was conducted using GATK [ 29].

Although CREST is used as the underlying SV detection algorithm, SHEAR's pipeline for correcting soft-clipping errors in the alignment via targeted local realignment improves the SV predictions in comparison to using CREST alone.

A number of realignment or assembly methods have been proposed to overcome the alignment errors and reference bias that limit indel detection.

In comparison with estimating heterogeneity from the original alignment, heterogeneity estimation is improved by an average of 11.26 percentage points across the 2520 SVs in the simulated data set after SHEAR's targeted local realignment.> -wrap-foot> entryentreportsrthethe average absolute error for estimation of heterogeneity percentage for a variety of SVs at different overall coverage levels.

Multiple sources of error exist, including incomplete or incorrect reference assemblies, erroneous realignment of reads to the reference genome (particularly in low complexity regions and around indels), inaccurate base quality scores, and suboptimal variant filtration parameters (Depristo et al. 2011; Li 2014).

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