Sentence examples for band patterns were analysed from inspiring English sources

Band patterns were analysed in order to determine the level of polymorphism (total number of bands), number of polymorphic bands, proportion of polymorphic bands and the resolving power (Rp) detected for each primer.

DGGE banding patterns were analysed with the program GelCompar II (6.0) and processed with ImageJ (148 a) and DiGit (Kramer 2013, personal communication).

The banding patterns were analysed using the GelCompar II software programme (Applied Maths, Belgium).

The PFGE banding patterns were analysed by computer-assisted identification with GelCompar II (Applied Maths, Kortrijk, Belgium).

Banding patterns were analysed using BioNumerics software, version 6.5 (Applied Maths BVBA, Sint-Martens-Latem, Belgium) following the PulseNet protocol.

The resultant banding patterns were analysed with BioNumerics software, version 7.1 (Applied Maths, Belgium), by the unweighted pair group method with arithmetic mean (UPGMA) algorithm.

PFGE banding patterns were analysed using BioNumerics software version 6.6 (Applied Maths, St-Martens-Latem, Belgium), with the Dice coefficient and unweighted- pair group method with arithmetric averages, at settings of 0.5 % optimization and 1.5 % position tolerance.

The DNA banding patterns were analysed with the use of BioNumerics v. 6.10 software (Applied Maths, Saint-Martens-Latem, Belgium) using Dice coefficient of similarity with band tolerance of 1% and cluster analysis based on the unweighted pair group method with arithmetic averages (UPGMA).

OPA1 band pattern was analysed by standard western blot procedure.

Band patterns were analyzed to determine clonal identity.

Patients with a dominant inheritance pattern were analysed using MLPA Retinitis Probemix (P235).