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Added Reeves data set.
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justinbois committed Jul 3, 2018
1 parent 690d67c commit 164c11c
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164 changes: 164 additions & 0 deletions data/reeves_gradient_width_various_methods.csv
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# Raw data from Reeves, et al., Dev. Cell, 22, 544, 2012.
#
# These data were used to create figure 1F.
#
# The first row of column headings contains the genotypes.
# The second row contains the staining/visualization method.
# The data give the computed gradient width as parametrized by
# sigma (see the original paper).
#
# Kindly provided by Greg Reeves (NC State) and Nathanie Trisnadi and Angela Stathopoulos (Caltech)
wt,wt,dl1/+; dl-venus/+,dl1/+; dl-venus/+,dl1/+; dl-venus/+,dl1/+; dl-gfp/+,dl1/+; dl-gfp/+,dl1/+; dl-gfp/+
wholemounts,cross-sections,anti-Dorsal,anti-Venus,Venus (live),anti-Dorsal,anti-GFP,GFP (live)
0.1288,0.1327,0.1482,0.1632,0.1666,0.2248,0.2389,0.2412
0.1554,0.1457,0.1503,0.1671,0.1753,0.1891,0.2035,0.1942
0.1306,0.1447,0.1577,0.1704,0.1705,0.1705,0.1943,0.2186
0.1413,0.1282,0.1711,0.1779,,0.1735,0.2,0.2104
0.1557,0.1487,0.1342,0.1483,,0.2135,0.256,0.2463
0.1689,0.1203,0.1773,0.1831,,0.2129,0.2309,0.202
0.1417,0.1315,0.1705,0.1783,,0.1782,0.1949,
0.1315,0.1463,0.1596,0.1667,,0.2011,0.2216,
0.1664,0.1458,0.1601,0.178,,0.1931,0.23,
0.156,0.1402,0.1553,0.1653,,0.2146,0.2682,
0.1479,0.133,0.1675,0.1708,,0.2398,0.2633,
0.1475,0.1375,0.1692,0.178,,0.2193,0.2495,
0.1347,0.1576,0.1584,0.174,,0.2112,0.2353,
0.1129,0.1498,0.1546,0.1739,,0.2516,0.2642,
0.125,0.1532,0.1605,0.1812,,0.1759,0.2238,
0.1648,0.1352,0.1754,0.1902,,0.1787,0.2115,
0.1555,0.1346,0.161,0.178,,0.164,0.1934,
0.1403,0.1364,0.1491,0.1624,,0.1756,0.2041,
0.1096,0.143,0.1442,0.1553,,0.1977,0.2286,
0.1779,0.144,0.1728,0.1768,,0.1809,0.2104,
0.1244,0.1805,0.1534,0.1701,,,,
0.1708,0.1688,0.1576,0.1724,,,,
0.1691,0.1532,0.1701,0.1738,,,,
0.13,0.1681,0.1436,0.1703,,,,
,0.1442,0.1746,0.1842,,,,
,0.1362,0.1698,0.172,,,,
,0.1391,0.171,0.1807,,,,
,0.1606,0.1555,0.1796,,,,
,0.1742,0.1616,0.1759,,,,
,0.1335,,,,,,
,0.1347,,,,,,
,0.1404,,,,,,
,0.1524,,,,,,
,0.1469,,,,,,
,0.1365,,,,,,
,0.1433,,,,,,
,0.1358,,,,,,
,0.1643,,,,,,
,0.1371,,,,,,
,0.1141,,,,,,
,0.1436,,,,,,
,0.1223,,,,,,
,0.1459,,,,,,
,0.1368,,,,,,
,0.1376,,,,,,
,0.1601,,,,,,
,0.1309,,,,,,
,0.1305,,,,,,
,0.1562,,,,,,
,0.1577,,,,,,
,0.154,,,,,,
,0.1443,,,,,,
,0.1364,,,,,,
,0.1344,,,,,,
,0.1315,,,,,,
,0.1572,,,,,,
,0.1441,,,,,,
,0.1399,,,,,,
,0.1497,,,,,,
,0.1647,,,,,,
,0.1629,,,,,,
,0.1194,,,,,,
,0.1296,,,,,,
,0.1574,,,,,,
,0.1365,,,,,,
,0.1759,,,,,,
,0.1522,,,,,,
,0.1535,,,,,,
,0.1398,,,,,,
,0.1453,,,,,,
,0.1569,,,,,,
,0.1582,,,,,,
,0.174,,,,,,
,0.1781,,,,,,
,0.1488,,,,,,
,0.1663,,,,,,
,0.1699,,,,,,
,0.173,,,,,,
,0.1655,,,,,,
,0.1341,,,,,,
,0.1014,,,,,,
,0.162,,,,,,
,0.1704,,,,,,
,0.1499,,,,,,
,0.1648,,,,,,
,0.1397,,,,,,
,0.1745,,,,,,
,0.1684,,,,,,
,0.1399,,,,,,
,0.1512,,,,,,
,0.1793,,,,,,
,0.1581,,,,,,
,0.1515,,,,,,
,0.1465,,,,,,
,0.162,,,,,,
,0.1581,,,,,,
,0.1559,,,,,,
,0.147,,,,,,
,0.1445,,,,,,
,0.1673,,,,,,
,0.1703,,,,,,
,0.154,,,,,,
,0.16,,,,,,
,0.1147,,,,,,
,0.1317,,,,,,
,0.1685,,,,,,
,0.1415,,,,,,
,0.1575,,,,,,
,0.1524,,,,,,
,0.1374,,,,,,
,0.1596,,,,,,
,0.1159,,,,,,
,0.1104,,,,,,
,0.1368,,,,,,
,0.1621,,,,,,
,0.1117,,,,,,
,0.1563,,,,,,
,0.158,,,,,,
,0.146,,,,,,
,0.1174,,,,,,
,0.155,,,,,,
,0.1327,,,,,,
,0.1443,,,,,,
,0.1329,,,,,,
,0.1567,,,,,,
,0.1388,,,,,,
,0.1449,,,,,,
,0.1548,,,,,,
,0.1727,,,,,,
,0.142,,,,,,
,0.1735,,,,,,
,0.1641,,,,,,
,0.1756,,,,,,
,0.1691,,,,,,
,0.1599,,,,,,
,0.1271,,,,,,
,0.1468,,,,,,
,0.149,,,,,,
,0.1706,,,,,,
,0.1283,,,,,,
,0.1325,,,,,,
,0.1663,,,,,,
,0.1325,,,,,,
,0.1529,,,,,,
,0.1682,,,,,,
,0.1557,,,,,,
,0.1577,,,,,,
,0.1466,,,,,,
,0.1671,,,,,,
,0.1265,,,,,,
,0.1448,,,,,,
,0.174,,,,,,

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