For a given linkage map, tries do add an additional unpositioned marker. This function estimates parameters for all possible maps including the new marker in all posible positions, while keeping the original linkage map unaltered.
try.seq(input.seq, mrk, tol = 0.1, pos = NULL, verbose = FALSE)an object of class sequence with a
predefined order.
the index of the marker to be tried, according to the input file.
tolerance for the C routine, i.e., the value used to evaluate convergence.
defines in which position the new marker mrk
should be placed for the diagnostic graphic. If NULL
(default), the marker is placed on the best position i.e. the
one which results LOD = 0.00
if FALSE (default), simplified output is
displayed. if TRUE, detailed output is displayed.
An object of class try, which is a list containing
the following components:
a list containing
results for every linkage map estimated. These results
include linkage phases, recombination frequencies and
log-likelihoods.
a vector with LOD-Scores
for each position where the additional marker is placed. This
Score is based on the best combination of linkage phases for
each map.
a matrix with the orders of
all linkage maps.
name of the object of
class outcross with the raw data.
name of
the object of class rf.2pts with the 2-point analyses.
The diagnostic graphic is made of three figures: i) the top figure
represents the new genetic map obtained with the insertion of the
new marker mrk on position pos. If pos = NULL
(default), the marker is placed on the best position i.e. the one
which results LOD = 0.00, which is indicated by a red triangle;
ii) the left bottom figure represents the base map (contained in
input.seq) on x-axis and the LOD-Scores of the linkage maps
obtained with the new marker mrk tested at the beginning,
between and at the end of the base map. Actually, it is a graphic
representation of the LOD vector (see Value
section). The red triangle indicates the best position where the
new marker mrk should be placed; iii) the right bottom
figure is the non-interactive rf.graph.table
function for the new genetic map (deprecated in BatchMap).
It plots a matrix of pairwise
recombination fractions (under the diagonal) and LOD Scores (upper
the diagonal) using a color scale.
Broman, K. W., Wu, H., Churchill, G., Sen, S., Yandell, B. (2008) qtl: Tools for analyzing QTL experiments R package version 1.09-43
Jiang, C. and Zeng, Z.-B. (1997). Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines. Genetica 101: 47-58.
Lander, E. S., Green, P., Abrahamson, J., Barlow, A., Daly, M. J., Lincoln, S. E. and Newburg, L. (1987) MAPMAKER: An interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1: 174-181.
Mollinari, M., Margarido, G. R. A., Vencovsky, R. and Garcia, A. A. F. (2009) Evaluation of algorithms used to order markers on genetic maps. Heredity 103: 494-502
Wu, R., Ma, C.-X., Painter, I. and Zeng, Z.-B. (2002a) Simultaneous maximum likelihood estimation of linkage and linkage phases in outcrossing species. Theoretical Population Biology 61: 349-363.
Wu, R., Ma, C.-X., Wu, S. S. and Zeng, Z.-B. (2002b). Linkage mapping of sex-specific differences. Genetical Research 79: 85-96
# NOT RUN {
# }
# NOT RUN {
#outcrossing example
data(example.out)
twopt <- rf.2pts(example.out)
markers <- make.seq(twopt,c(2,3,12,14))
markers.comp <- compare(markers)
base.map <- make.seq(markers.comp,1)
extend.map <- try.seq(base.map,30)
extend.map
print(extend.map,5) # best position
print(extend.map,4) # second best position
# }
# NOT RUN {
# }
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