BioNumerics Fingerprint
Types Module
For an overview see
BioNumerics.
Image processing and
normalization. Input of
8-bit, 12-bit and 16-bit TIFF images, densitograms, and chromatograms
of unlimited filesize. Automatic lane finding on images for all types
of gels. Gelstrip borders and tracking splines adjustable for each
individual lane.
Automated and manual alignment by pattern recognition using external
reference patterns and/or internal reference bands. On-screen
normalization of TIFF images with indication of reliability and
possible misalignments. Direct processing of ABI, Beckman and Amersham
chromatogram files with inline reference tracks. Adjustable background
subtraction using rolling disk method. Adjustable curve
smoothing by Arithmetic, Median and Mode filters
and Least Square filtering algorithms. Adjustable Richardson-Lucy
deconvolution.
Database. Entry description by up to 60 information
fields, up to 80 characters long each. Easy drag & drop linkage of
multiple experiments to database entries. Powerful search engine for
combined database searches on different information fields and
experiment presence, character values, and ranges. Storage and
management of composite database queries. Imaging of any selection of
patterns by normalized 2D-bitmap strips, densitograms or reconstructed
patterns. Multi-database system, each database can contain many
different fingerprint types. Direct comparison of differently
normalized patterns through automatic MW remapping functions. Advanced
database exchange functions using the Bundles concept and XML exchange
packets. Compatibility with external databases via ODBC.
Quantification. Approved band-search algorithms with
adjustable sensitivity for shoulder and double-band finding based on
curve. Possibility to find and mark uncertain bands.
Quantification of molecular sizes or any other metric unit using
linear, logarithmic, combined logarithmic-third power regression,
cubic spline or pole functions. Accurate expression of protein or
nucleic acid quantities or concentrations based on cubic spline
regression using known calibration bands. Extensive anatomy and
comparative quantification of bands between groups of patterns.
Generation of characteristics tables and extensive comparative reports
between unlimited numbers of patterns, with indication of molecular
weight, fragment length, and absence/presence or absolute protein or
DNA amount per band. Search for discriminative bands between selected
groups of patterns; search for unique and common bands within
selections. Binary and quantitative band matching tables of multiple
combined fingerprints.
For further details please download
the BioNumerics/GelCompar pdf brochure.
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