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Subcellular localization of the endogenous TMEM33 protein was examined by cell fractionation and immunoblotting using a custom-generated rabbit polyclonal antibody against a TMEM33-specific epitope (aa 127 143).
Identification of false positives was carried out using a custom web viewer (generated using custom PHP scripts) by visually analyzing RNA-seq data.
The macular volume was measured using a custom protocol which generates 61 B-scans focusing the fovea, at a scanning angle of 30° × 25° and a resolution of 768 A-scans per B-scan (ART = 13).
Pfam domain co-occurrence networks were generated using a custom Python script to parse Pfam predictions and generate files for Cytoscape network analysis (Smoot et al. 2011).
Upon submission of the sequences, the tool scans for SSRs using a custom Perl script and generates a temporary Primer3 input file.
In order to generate a consensus sequence the five replicate assemblies, sequences were aligned using kalign [ 23] and a consensus generated using a custom Perl program.
On the other hand, for business decisions, Google Earth mappings can be generated using a custom application (e.g., Fig. 5).
All data were generated using a custom two-dimensional model that describes convection and diffusion in a system of two fluids running side-by-side in a duct.
The trimming statistic was generated using a custom Perl script.
The SR reconstructions were generated using a custom ImageJ macro.
Frequency files (expected values for 6-mers and 8-mers) used by Weeder were generated using a custom Perl script.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com