Description Usage Arguments Author(s) References See Also Examples
This function calculates distIUPAC
based distances
comparing two populations (x: receiver and y: donor).
1 2 3 4 |
dna |
|
x.pos |
population X positions [mandatory] |
y.pos |
population Y positions [mandatory] |
x.name |
population X name [default: "x"] |
y.name |
population Y name [default: "y"] |
chr.name |
chromosome name [default: "chr"] |
wlen |
sliding windows length [default: 25000] |
wjump |
sliding windows jump [default: 25000] |
start.by |
optional start position [default: 1] |
end.by |
optional end position [default: NULL] |
wtype |
sliding windows type to use |
dist |
distance to use, choose one model as in dist.dna or [default: "IUPAC"] |
global.deletion |
a logical indicating whether to delete the sites with missing data in a global or pairwise way (default is to delete in a global way) [default: TRUE] |
threads |
number of parallel threads [default: 1] |
ncores |
number of parallel cores to process pairwise distance calculation [default: 1] |
pB |
specifies if progress should be shown as a progress bar [default: FALSE] |
Kristian K Ullrich
Slatkin, M. (1991). Inbreeding coefficients and coalescence times. Genetics Research, 58(2), 167-175.
Beerli, P. (1998). Structured Populations. Advances in molecular ecology, 306, 39.
Reich, D., Thangaraj, K., Patterson, N., Price, A. L., & Singh, L. (2009). Reconstructing Indian population history. Nature, 461(7263), 489.
Patterson, N., Moorjani, P., Luo, Y., Mallick, S., Rohland, N., Zhan, Y., ... & Reich, D. (2012). Ancient admixture in human history. Genetics, 192(3), 1065-1093.
Peter, B. M. (2016). Admixture, population structure, and F-statistics. Genetics, 202(4), 1485-1501.
Paradis, E., & Schliep, K. (2018). ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics, 35(3), 526-528.
1 2 3 4 5 6 7 8 9 10 11 12 | ##load sequence data
data("MySequences", package="distIUPAC")
CAS.pos<-5:34
AFG.pos<-82:87
##sliding windows based on base-pair length
CAS.AFG.xyStats<-xyStats(MySequences, x.pos=CAS.pos, y.pos=AFG.pos,
x.name="CAS", y.name="AFG", threads=2)
CAS.AFG.xyStats
##sliding windows based on biSites
CAS.AFG.xyStats<-xyStats(MySequences, x.pos=CAS.pos, y.pos=AFG.pos,
wlen=50, wtype="biSites", x.name="CAS", y.name="AFG", threads=2)
CAS.AFG.xyStats
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