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These observations highlight the importance of having long reads and inserts for alignment and variant calling.
Limited lengths of paired-end sequencing reads and inserts render haplotype assembly computationally challenging; in fact, most of the problem formulations are known to be NP-hard.
Dimensions (and, therefore, difficulty) of the haplotype assembly problems keep increasing as the sequencing technology advances and the length of reads and inserts grow.
To test the performance of SDhaP for the assembly of polyploid haplotypes, we generate data in the same way as described in the previous section (notably, the reads and inserts are of the same lengths as those in the diploid simulations).
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However, due to the relatively short reads and insert lengths, genome assemblies from Illumina data tend to be fragmented, because the read and insert lengths are shorter than repeat regions within the genome.
Sequencing was carried out on the Illumina HiSeq2000 platform, with paired end 90 bp reads and insert size of around 200 bp.
Many of these deficiencies are associated with short reads and insert lengths (File S2, Figure 1, A and B, Figure S4 and Figure S7, Table S6 and Table S7).
The existence of the inversion funnel depends on WGS parameters, specifically read and insert sizes and coverage depth.
Libraries were sequenced with 100-bp paired-end reand and an insert size of 250-bp.
Sequencing was carried out for 100 cycles on the Illumina HiSeq 2500 platform with paired-end 100 bp reads and library insert size of approximately 500 bp.
Each dataset is comprised of 2 million PE reads, and the insert-sizes are drawn from normal distributions N (500, 50), N (1000, 50) and N (2000, 50) for the 100-bp, 200-bp and 500-bp datasets, respectively.
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