Exact(60)
To aid in the comparison of gene expression among different O. melastigma tissues, we explored two approaches to generate a single consensus transcriptome assembly; (1) Reads-combined Assembly: sequence reads for all tissues were combined prior to being subjected to de novo assembly [ 23] and (2) Contigs-clustered Assembly: assembly was performed individually for each library.
Hardy inequality in reads, for all and, (1.1).
Forward and reverse reads for all regions were assembled and aligned using Geneious Pro (Biomatters, New Zealand), with the alignments being subsequently manually edited in BioEdit 7.1.3 (Hall 1999); inversions were offset and the final alignment was 6905 bases long, with 39 bases excluded due to alignment uncertainty.
We obtained 124,671 reads for all samples (Table 2).
Taken all together, it would be reasonable to analyze 1,000 reads for all samples as recommended before [5].
The mapping of reads for all six samples to the reference genome shows differences in expression levels for individual APOE exons (Fig. 3).
We therefore utilized Kraken for taxonomic classification of reads for all subsequent analyses.
Finally, distributions of reads for all the mapped small RNAs for the selected precursors were checked.
454 reads for all six tissues were first combined in a full data de-novo assembly.
454 reads for all species were assembled using the 454 Newbler Assembler [ 8].
The number of reads for all 40 probes is listed in Table 2.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com