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Therefore, by comparing the PTX files from the two coding programs we could detect the bottleneck that causes the speed reduction.
The OCT4/SOX2/NANOG signature gene features were then analyzed alone in published human gene expression data obtained from the reports by Bhattacharjee et al. and Bild et al. Raw microarray data files from the two published datasets were imported and analyzed using the BRB-ArrayTools v.3.7.0 developed by Dr. Richard Simon and BRB-ArrayTools Development Team [18].
The resulting BAM files from the two lanes were merged using Samtools and then converted to SAM files.
The FASTQ files from the two lanes were combined generating a total of 46,120,559 reads for B. rapa and 49,268,765 reads for B. oleracea.
After parsing the BLAST output files from the two parental lines, the results were manually inspected to remove sequences that aligned to two or more sites within the sorghum genome at the same e-value or percent identity.
To compare the genotypes from the three platforms, the output VCF files from the two NGS outputs and the Omni 2.5-8 output files formatted with PLINK [ 42] were processed to generate subsets that contained the common target SNP sites.
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Alignment files from the three paired-end lanes were merged, sorted and parsed by contig identification using pileup in the SAMtools package [38].
The sample files from the three independent runs were combined after discarding their first 10% as burn-in.
In order to do this, gene ratio files from the three replicates of a treatment were combined, and means were calculated for the ratios and P values of all features.
We searched for potential drug-targets in the extracted drug gene-target files from the three drug databases and found 192 candidate genes (30%) are potential therapeutic targets for CAD.
Each set of parental alignments were treated individually in the following manner: For each tissue, accepted_hits.bam files from the three replicates were merged, sorted and indexed using SAMtools [ 40].
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