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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.
wcs_update implements the transformation file data by calculating four equivalent parameters to use to update the outfile; two translational, one rotational, and one scaling parameter.
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.
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After data processing, we used transformation files (referred to as x-files) to align the site position to the IGS05 frame.
This approach means that failures are relatively silent (a strange document does not crash the process) and that changes can be made external to the software (by modifying the transformation files).
To do this, we utilized top 500 transformation files obtained by global docking approach.
The calculated six element transformation matrix is output to the transform file (outfile).
Thus, although TcLEC2 did not impact the initial levels of transient transformation (Additional file 5) or embryogenesis frequency of non-transgenic embryos (Additional file 6), it greatly increased the frequency of transgenic embryo production, which confirmed our hypothesis.
The full length OsMKK6EE cDNA was cloned in binary construct pCAMBIA 1303 under the control of constitutive 35S CaMV promoter and transformed into Agrobacterium cells and subsequently used for rice transformation (Additional file 3: Figure S2A-H).
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