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The main parameter for LoRDEC is k, the k-mer length for the de Bruijn graph.
Hash size (k-mer length for alignment) was optimized first without any limitation of alignment candidate threshold.
Parameters including k-mer length for Velvet and hash length for Edena were optimized by sequential step changes.
Therefore, the greater uniformity in assembled contig number between Trinity assemblies can likely be attributed to the program's implementation of a fixed k-mer length for all assemblies.
The k-mer length for each coverage cutoff was varied between 25 and 63 resulting in 380 different assemblies per species.
Transcriptome quality was compared between our pipleline, which employs a meta-assembly process, and the standard practice of using a single 25 bp k-mer length for assembly.
To balance between higher accuracy from longer k-mers and better assemblies for low expressed genes from short k-mers, we ran multiple assemblies to arrive at an optimal k-mer length for a better assembly.
"Hash size" (k-mer length for alignment) and "alignment candidate threshold" (minimal alignment length to map the read) parameters were pre-optimized prior to the analysis with respect to alignment sensitivity and time needed for the analysis.
We used a k-mer length of 79 for contig assembly.
Among the various softwares, Oases generated the best assembly with largest average and N50 lengths at k-mer length of 59 for both datasets (Supplementary Table S2).
The clean reads were then assembled into contigs using Trinity [ 20] (http://trinityrnaseq.sourceforge.net/) with an optimized k-mer length of 31 for de novo assembly.
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