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The resultant wave file was analysed using BatSound Pro software (version 3.20; Pettersson Elektronik AB, Uppsala, Sweden).
Quality of each raw sequence data file was analysed using open-source software FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/).ac.uk/projects/fastqc/
The EEG file was analysed using Brainvision Analyzer and was corrected for horizontal and vertical (blinks) eye movements using the Gratton and Coles method [ 42].
The results file was analysed using a bespoke Perl program to create an "architecture string" for each sequence, which lists all the domain names in sequence order.
The combined data file was analysed using logistic regression analysis with the patch-test outcome (contact allergy: 'yes' vs 'no') as the dependent variable and different cancer types as the independent variables, and controlled for sex and age.
The peak position data from [ 33] were converted from NCBI36/hg18 to NCBI37/hg19 using http://genome.ucsc.edu/cgi-bin/hgLiftOver and the resulting bed file was analysed using GREAT and the UCSC (http://genome-euro.ucsc.edu) browser.
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The resultant files were analysed using the QIIME (Quantitative Insights Into Microbial Ecology)54 software package (http://www.qiime.org/) and USEARCH10 19.
GC-MS data files were analysed using MSD Enhanced ChemStation software (Agilent Technologies) to determine sterol profiles for all isolates and for derivation of integrated peak areas.
Raw data files were analysed using the Bioconductor [45] Affymetrix package (http://www.bioconductor.org).
CEL files were analysed using dChip software version 2007 [ 32].
The CEL files resulting from the analysis of image files were analysed using oneChannelGUI 1.6.5 [ 35].
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