Your English writing platform
Discover LudwigExact(3)
The Excel file, sheet Main (range AF51 to AM121), shows the computation of the first three autocorrelations for the estimate Open image in new window of the permanent component (P_{t}) detailed in Sect.
The Excel file, sheet Main, range AP51 to AW121, shows the computation of the first three autocorrelations for the difference of the estimate (hat{imath }_{t}) of the irregular component (I_{t}) detailed in Sect.
Parameters on the Excel file, sheet 1.
Similar(57)
The results were entered in Excel file sheets and expressed as percentages of the responses.
As that suggests (and as anyone who has lost the only copy of precious computer data can confirm), preserving information in digital form is far more daunting than filing sheets of paper or shelving rolls of microfilm.
Mass spectrometry identified 2 of this class of transporters (Additional file 2, Sheet 2B; Additional file 4, Sheet 4A).
The RNA-Seq analysis indicated varying average expression levels, with RPKM values of as high as 150; one of those proteins was identified in the experimental proteome (Additional file 2, Sheet 2B; Additional file 4, Sheet 4B).
The RNA-Seq data indicated that the FOW1 homologue in C. cacaofunesta was highly expressed (with an RPKM value of 536), and its product was identified in the experimental proteome (Additional file 2, Sheet 2B; Additional file 4, Sheet 4A).
C. cacaofunesta AOX was not identified in the experimental proteome, but the gene aox exhibited detectable expression, with a RPKM value of approximately 88 (Additional file 2, Sheet 2B; Additional file 4, Sheet 4A).
This gene was expressed in in vitro conditions, with an RPKM value as high as 259 and its product was also identified in the experimental proteome (Additional file 2, Sheet 2B; Additional file 4, Sheet 4A).
The original and log transformed gene expression data are summarized in Additional file 1 (Sheet: Original microarray data, and Sheet: Log transformed microarray data, respectively).
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