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Lensfield2 https://bitbucket.org/sea36/lensfield2/ is a tool for managing file transformation workflows and can be thought of as a make for data.
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It is also good if you want to set up a pipeline (where you are performing many large file transformations on an ongoing basis).. Log into AWS.
Additional file 1: Transformations of High and low Natural Product Likeness compounds.
It transpired OpenBabel did not correctly propagate the charge information in either of the original CML files by transformation into an appropriate MOPAC keyword declaration such as CHARGE = 1.
Using a self-written Python script and the coordinate transformation file (see above), we transformed the coordinates in the SNP-list from the exome reference coordinate system to the genomic coordinate system.
Second, the transformation file that resulted from the spatial normalization was used to inversely transform the striatal and reference VOIs from the template image domain to the original image domain.
Additional file 3 Alfalfa transformation.
After spatial normalization, a transformation file was obtained and stored.
This transformation file stored multiple transformation matrices that, when multiplied with the images, spatially normalized these images to the standard template domain.
The primer sequences used for gateway cloning are listed in Additional file 4. Transformation was replicated 6 times independently.
Primer sequences are available in Supplementary file 1. Transformation of Synechocystis sp. PCC6803 was performed according to standard protocols.
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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