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These results are consistent with those found by [ 19]; it seems that normalization generates a more fragmented assembly, at least when Trinity is used.
As a result, the algorithm produces some incorrect adjacencies which leads to misordered contigs and more fragmented assembly (in number of scaffolds).
However, this increase in contig number is accompanied by a slightly shorter mean contig length due to a slightly more fragmented assembly.
The cost of this reduction in error rate is that the number of contigs is greater and consequently, the size of the contigs is smaller, resulting in a more fragmented assembly [ 25].
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This outcome indicates that the simulated community may have been oversequenced by the GAIIx high coverage dataset, and is consistent with the inability of Bruijn k-mer based assemblers to deal with large numbers of sequencing errors, resulting in more fragmented assemblies [ 16].
This indicated that partial gene sequences were more often retrieved from the more fragmented assemblies.
This low contribution may be explained by the fact that Roche/454 libraries were normalized to reduce highly abundant transcripts which might have led to more fragmented assemblies limiting the contribution of Roche/454 reads to the final transcriptome [ 28].
When the same contig was compared to the more fragmented P3 assembly, 40 contigs mapped with only three apparent synteny breaks.
Due to the more fragmented genome assembly we expect the true numbers to be closer to the lower bounds.
The more fragmented an assembly is, the harder it is to reliably distinguish contigs belonging to either of the two copies.
In addition, the differences and the number of COG annotations missing between comparison annotations were greater for strain GOBB3-C103-3, which has a larger genome and a more fragmented draft assembly (Table 2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com