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The present work extends this concept by applying a finite element method based process modeling technique for assembly evaluation of a virtual prototype of a manufactured component.
It includes dividing the complex geometries into generic implicit features (cubes, cylinders, prisms) with known geometric characteristics to facilitate feature selection depending on required output Geometric Dimensioning and Tolerancing (GD&T), fit for assembly evaluation and other geometric properties.
Contig lengths > 1000 bp were used for assembly evaluation.
We adopted two groups of index for assembly evaluation according to an earlier study [ 38].
As above, including singletons in the analysis improves the use of the OHR metric for assembly evaluation.
The reads were assembled into 50,742 unigenes with an average length of 858.80 bp and an N50 of 1,733 bp, which is used for assembly evaluation and a high number [ 18], suggest a high quality assembly in this study.
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The tool, recognising errors in assemblies using paired reads (REAPR) for genome assembly evaluation [ 11] detected no collapsed repeats in the PacBio assembly and five in the hybrid assembly and four in each of the other assemblies (Additional file 4).
For example, de novo assembly evaluation tools such as CGAL (Rahman and Pachter, 2013), FRCbam (Vezzi et al., 2012) and ALE Clarkk et al., 2013) would either not scale to the size of the problem or require substantial time and computational resources.
Moreover, we developed NouGAT, a semi-automated pipeline for read-preprocessing, de novo assembly and assembly evaluation, which was instrumental for this work.
Although there are several de novo assemblers available, there remains room for improvement as shown in recent assembly evaluation projects such as Assemblathon 1 [ 1] and GAGE [ 2].
To further elucidate the impact of long-read data on SV detection, we developed a parallel Illumina workflow that uses only Illumina HiSeq PE data for both SV discovery and local assembly evaluation.
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