Genemarker v2
GeneMarker V2.2.0 is a software application for analysis of genetic data. It provides tools for visualization, editing, and interpretation of DNA sequence data from various sources.
Lab products found in correlation
64 protocols using genemarker v2
Microsatellite Genotyping of Cyperus papyrus
Genotyping House Sparrows Using Microsatellites
We genotyped house sparrow individuals for twelve published microsatellite loci (Dawson et al.,
Chromosomal Copy Number Analysis
Quantifying Chromosomal Aneuploidies via QF-PCR
All samples with a normal female karyotype were subjected to QF-PCR testing for maternal cell contamination by comparison of multiple microsatellite markers in maternal blood versus cell culture and/or fetal sample. The IVD QF-PCR Devyser (Devyser AB, Stockholm, Sweden) prenatal kit, testing for aneuploidies of chromosomes 21, 18, 13, X, and Y, as well as the extended kit for chromosomes 15, 16, and 22 were used. DNA purification was performed using Promega Wizard™ Genomic (Promega, Madison, WI, USA). The amplicons were migrated on the ABI3730xl platform (Applied Biosystems, Foster City, CA, USA), and data were analyzed using GeneMarker v2.2 software (SoftGenetics, State College, PA, USA).
Elymus nutans Genetic Profiling
Fragment Size Analysis by Capillary Electrophoresis
Microsatellite analysis of crayfish
Automated Allele Counting for Triploidy
The allele count table for each batch of genotypes was exported into Microsoft Excel and the genotype scoring rate (GSR) was determined as the number of markers that had an allele count of at least one, divided by the total number of markers genotyped (i.e. 12). Samples were then analysed in respect to triploidy based on the following semi-strict (A), and strict (B) criteria:
A. Where at least one marker had three unique allele fragments.
B. Where at least two markers had three unique allele fragments.
Genetic Diversity Analysis of Populations
To examine the genetic relationship among the 43 populations, Nei’s measure of genetic distance was calculated, and a dendrogram was constructed using the unweighted pair group method with arithmetic mean (UPGMA) using MEGA7 software [54 (link),55 ]. To evaluate the differentiation among groups of populations, among populations and variation within populations, an analysis of molecular variance (AMOVA) was conducted using ARLEQUIN ver 3.5 software [56 (link)].
Detecting PIK3CA Mutations via SNaPshot
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