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Read genetic map from file and convert to map object to use with sim.cross
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| ## simulate a cross, using genetic map from a CSV file | |
| # read map.csv | |
| maptab <- read.csv("map.csv") | |
| # convert to map object | |
| pos <- maptab[,3] | |
| names(pos) <- maptab[,1] | |
| chr <- maptab[,2] | |
| map <- split(pos, chr) | |
| # load R/qtl | |
| library(qtl) | |
| # simulate cross with that as the genetic map | |
| x <- sim.cross(map, n.ind=100, type="bc") |
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| marker | chr | pos | |
|---|---|---|---|
| D1Mit296 | 1 | 3.3 | |
| D1Mit123 | 1 | 19.7000000001 | |
| D1Mit156 | 1 | 32.8000000002 | |
| D1Mit178 | 1 | 35.0000000003 | |
| D1Mit19 | 1 | 37.2000000004 | |
| D1Mit7 | 1 | 41.5000000005 | |
| D1Mit46 | 1 | 43.7000000006 | |
| D1Mit132 | 1 | 43.7000000007 | |
| D1Mit334 | 1 | 49.2000000008 | |
| D1Mit305 | 1 | 54.6000000009 | |
| D1Mit26 | 1 | 64.500000001 | |
| D1Mit94 | 1 | 67.8000000011 | |
| D1Mit218 | 1 | 69.9000000012 | |
| D1Mit100 | 1 | 74.3000000013 | |
| D1Mit102 | 1 | 75.4000000014 | |
| D1Mit14 | 1 | 82.0000000015 | |
| D1Mit105 | 1 | 82.0000000016 | |
| D1Mit159 | 1 | 82.0000000017 | |
| D1Mit267 | 1 | 82.0000000018 | |
| D1Mit15 | 1 | 86.3000000019 | |
| D1Mit456 | 1 | 94.000000002 | |
| D1Mit155 | 1 | 115.8000000021 | |
| D4Mit149 | 4 | 0 | |
| D4Mit41 | 4 | 14.2000000001 | |
| D4Mit108 | 4 | 16.4000000002 | |
| D4Mit237 | 4 | 17.5000000003 | |
| D4Mit286 | 4 | 18.6000000004 | |
| D4Mit214 | 4 | 21.9000000005 | |
| D4Mit53 | 4 | 23.0000000006 | |
| D4Mit89 | 4 | 23.0000000007 | |
| D4Mit111 | 4 | 25.1000000008 | |
| D4Mit288 | 4 | 28.4000000009 | |
| D4Mit164 | 4 | 29.500000001 | |
| D4Mit178 | 4 | 30.6000000011 | |
| D4Mit80 | 4 | 31.7000000012 | |
| D4Mit81 | 4 | 31.7000000013 | |
| D4Mit276 | 4 | 32.8000000014 | |
| D4Mit152 | 4 | 33.9000000015 | |
| D4Mit302 | 4 | 35.0000000016 | |
| D4Mit175 | 4 | 47.0000000017 | |
| D4Mit16 | 4 | 56.8000000018 | |
| D4Mit14 | 4 | 74.3000000019 |
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