read.ATetra | R Documentation |
Given a file formatted for the software ATetra, read.ATetra
produces a genambig
object containing genotypes, population
identities, population names, and a dataset description from the file.
Ploidy in the genambig
object is automatically set to
4
.
read.ATetra(infile)
infile |
Character string. A file path to the file to be read. |
read.ATetra
reads text files in the exact format specified by
the ATetra documentation. Note that this format only allows tetraploid
data and that there can be no missing data.
A genambig
object as described above.
Lindsay V. Clark
http://www.vub.ac.be/APNA/ATetra_Manual-1-1.pdf
van Puyvelde, K., van Geert, A. and Triest, L. (2010) ATETRA, a new software program to analyze tetraploid microsatellite data: comparison with TETRA and TETRASAT. Molecular Ecology Resources 10, 331–334.
write.ATetra
, read.Tetrasat
,
read.GeneMapper
,
read.Structure
, read.GenoDive
,
read.SPAGeDi
, read.POPDIST
,
read.STRand
# create a file to be read # (this would normally be done in a text editor or with ATetra's Excel template) myfile <- tempfile() cat("TIT,Sample Rubus Data for ATetra", "LOC,1,CBA15", "POP,1,1,Commonwealth", "IND,1,1,1,CMW1,197,208,211,213", "IND,1,1,2,CMW2,197,207,211,212", "IND,1,1,3,CMW3,197,208,212,219", "IND,1,1,4,CMW4,197,208,212,219", "IND,1,1,5,CMW5,197,208,211,212", "POP,1,2,Fall Creek Lake", "IND,1,2,6,FCR4,197,207,211,212", "IND,1,2,7,FCR7,197,208,212,218", "IND,1,2,8,FCR14,197,207,212,218", "IND,1,2,9,FCR15,197,208,211,212", "IND,1,2,10,FCR16,197,208,211,212", "IND,1,2,11,FCR17,197,207,212,218","LOC,2,CBA23","POP,2,1,Commonwealth", "IND,2,1,1,CMW1,98,100,106,125","IND,2,1,2,CMW2,98,125,,", "IND,2,1,3,CMW3,98,126,,","IND,2,1,4,CMW4,98,106,119,127", "IND,2,1,5,CMW5,98,106,125,","POP,2,2,Fall Creek Lake", "IND,2,2,6,FCR4,98,125,,","IND,2,2,7,FCR7,98,106,126,", "IND,2,2,8,FCR14,98,127,,","IND,2,2,9,FCR15,98,108,117,", "IND,2,2,10,FCR16,98,125,,","IND,2,2,11,FCR17,98,126,,","END", file = myfile, sep = "\n") # Read the file and examine the data exampledata <- read.ATetra(myfile) summary(exampledata) PopNames(exampledata) viewGenotypes(exampledata)
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