Biochemical Genetics

, Volume 50, Issue 9–10, pp 670–672 | Cite as

PICcalc: An Online Program to Calculate Polymorphic Information Content for Molecular Genetic Studies

  • Sándor Nagy
  • Péter PoczaiEmail author
  • István Cernák
  • Ahmad Mousapour Gorji
  • Géza Hegedűs
  • János Taller


Molecular markers have proved to be valuable tools in the characterization and evaluation of genetic diversity within and between species and populations. Marker systems differ in their information content, which depends on polymorphism. The concept of polymorphism is used to define genetic variation in a population, which has been extensively studied in recent years by several established scientific disciplines, for example, genetics, ecology, zoology, and microbiology (Mukherjee et al. 2010; Muneer et al. 2011; Rajkumar et al. 2011). Examples are numerous and obvious. For the practical design of molecular genetic studies, a few questions must be considered. How difficult will it be to find usefully polymorphic loci? How many markers are needed? How polymorphic must each marker be? These questions can be answered by measuring the information content of the markers. There are two measures of the quality or informativeness of a polymorphism as a genetic marker:...


Binary Data Marker System Polymorphic Information Content Online Tool Marker Genotype 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The present article was published in the frame of the projects TÁMOP-4.2.1/B-09/1/KONV-2010-0003 and TÁMOP-4.2.2/B-10/1-2010-0025. The project is realized with the support of the Hungarian Government and the European Union, with the cofunding of the European Social Fund. This work was financed by the Hungarian Grant OTKA K 76485.


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Sándor Nagy
    • 1
  • Péter Poczai
    • 3
    Email author
  • István Cernák
    • 4
  • Ahmad Mousapour Gorji
    • 4
  • Géza Hegedűs
    • 1
  • János Taller
    • 2
  1. 1.Department of Economic Methodology, Georgikon FacultyUniversity of PannoniaKeszthelyHungary
  2. 2.Department of Plant Science and Biotechnology, Georgikon FacultyUniversity of PannoniaKeszthelyHungary
  3. 3.Plant BiologyUniversity of HelsinkiHelsinkiFinland
  4. 4.Potato Research Centre, Centre of Agricultural SciencesUniversity of PannoniaKeszthelyHungary

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