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A secondary search was conducted by reading the reference lists of the articles meeting the inclusion criteria for additional studies relevant to this review.
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Data analysis is made flexible by subdividing the procedure into sequential steps: (1) Import data: GO-2D starts by reading the input files containing reference and interesting gene lists (see Figure 1).
I decided to prepare for the exam by reading a reference textbook cover-to-cover.
By manual reading the references, we found that the two subnetworks we obtained contained several previously implicated genes with clinical significance.
In this study, we found 26% of the source articles by reading articles and examining the references listed.
Subsequently, we generate a large set of reads for training, by simulating reads from the reference genome.
These differences were explored by mapping reads onto the reference and by examining de novo assemblies.
Percent on-target statistics (Table 1) were calculated by mapping reads to the reference loci using the Geneious native assembler (low sensitivity settings) and dividing the number of mapped reads by the total number of reads per each accession; the same method was used to determine read percentages for the chloroplast and mitochondrial genomes using the mitochondrial and chloroplast references.
TopHat finds junctions by mapping reads to the reference in two phases.
Overall, 3,747 SNPs were identified by mapping reads on the reference genome and 2,359 SNPs when using de novo assembly.
For the direct mode, spanning pairs were calculated by mapping reads to the reference transcriptome and searching for discordantly aligned pairs, consistent with the predicted fusion.
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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