Fingerprint Data module
During more than 20 years, Applied Maths has built an unparalleled experience and leadership in the analysis of electrophoresis patterns. With the Fingerprint Data module, BioNumerics offers the most comprehensive tools for the processing of 1-D electrophoresis profiles and spectra:
- Import any bitmap images (8, 12, and 16 bit), densitograms and chromatograms.
- Reading graphical and desitometric file formats from image files.
- Automated lane finding.
- Alignment of patterns through normalization.
- Band finding and quantification
- Band matching
- ... and much more.
What are fingerprints?
A fingerprint is defined as any densitometric record seen as a profile of peaks or bands. Examples are electrophoresis patterns (gel, capillary), gas chromatography or HPLC profiles, spectrophotometric curves, MALDI, SELDI, etc.
Since electrophoresis is an important technique in studying relationships in biology, BioNumerics offers comprehensive tools for preprocessing electrophoresis fingerprints. These tools include reading graphical and densitometric file formats from image files and automated sequencers, lane finding, normalization (alignment of patterns), band finding and quantification, band matching, etc.
In addition to the wide range of analysis functions for fingerprint data, BioNumerics provides comprehensive tools for automated preprocessing and analysis of specific fingerprint types such as MALDI, dHPLC, and electropherograms from automated sequencers. The software also offers a number of specialist plugins for electrophoresis-based applications such as VNTR or MLVA, HDA or CSCE, spa-typing, AFLP-based breeding, etc. Through its easy and powerful script language, BioNumerics can import and process virtually any type of fingerprint data from any manufacturer.