Importing and processing gel images

This tutorial illustrates how to import and process gel images with BioNumerics. The processing steps include lane finding, background subtraction, normalization and band definition. As sample data, a set of Pulsed Field Gel Electrophoresis (PFGE) gel images is provided, although the same principles are applicable for other typing methods using gel electrophoresis.

Fingerprints

Any type of data that can be translated into a densitometric curve is considered a fingerprint type in the BioNumerics and GelCompar II software. This includes commonly used genotyping methods employing agarose or polyacrylamide slab gel electrophoresis (PFGE, rep-PCR, RAPD, PCR-DGGE, etc.), in which case the data are usually imported as two-dimensional gel images (bitmaps). Another major group consists of capillary electrophoresis profiles such as AFLP, ARISA, T-RFLP, etc. Here, the raw electropherograms generated by an automated sequencer (genetic analyzer) or derived peak table text files can be imported. Finally, any other profile (generated e.g. by gas chromatography, HPLC or spectrophotometry) that can be seen as peaks or bands, can be analyzed as a fingerprint.

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BioNumerics Tutorial Data
A bundle of example data needed to follow the tutorials in the manual.
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