Evaluating the impact of scoring parameters on the structure of intra-specific genetic variation using RawGeno, an R package for automating AFLP scoring |
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| Authors: | Nils Arrigo Jarek W Tuszynski Dorothee Ehrich Tommy Gerdes and Nadir Alvarez |
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| Institution: | (1) Laboratory of Evolutionary Botany, Institute of Biology, University of Neuch?tel, 11 rue Emile-Argand, CH-2000 Neuch?tel, Switzerland;(2) Science Applications International Corporation (SAIC), 1710 SAIC Drive Suite 3155, McLean, VA 22102, USA;(3) Department of Biology, University of Troms?, N-9037 Troms?, Norway;(4) Chromosome Laboratory, Department of Clinical Genetics, Rigshospitalet, Blegdamsvej 9, Copenhagen, Denmark;(5) Laboratory of Evolutionary Entomology, Institute of Biology, University of Neuch?tel, 11 rue Emile-Argand, CH-2000 Neuch?tel, Switzerland |
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| Abstract: | Background Since the transfer and application of modern sequencing technologies to the analysis of amplified fragment-length polymorphisms
(AFLP), evolutionary biologists have included an increasing number of samples and markers in their studies. Although justified
in this context, the use of automated scoring procedures may result in technical biases that weaken the power and reliability
of further analyses. |
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