pixel flipper, data sifter. trying to see what I can while I'm here
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# Drug Resistant Mutations-Hotspot clusters are expected to drive negative selection.+Hotspot clusters are expected to drive positive selection.
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addTooltips( Plot.plot({ x: { type: "linear" }, inset: 10, width: width, marks: [ Plot.frame({ fill: "lightgray" }),+Plot.tickX([0, 56, 99, 440, 560, 975], {x: d => d, stroke: "black"}),Plot.dot(allSNPs, { x: "Position", fill: "#00308f", fillOpacity: 0.05, }), Plot.dot(consensusB, { x: "AAPOS", fill: "#ff7e00", fillOpacity: 0.2, title: "AAREF" }) ] }) )
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Alternative plots:
addTooltips(
Plot.plot({
color: {
type: "linear",
range: ["steelblue", "black"]
},
y: { reverse: true },
inset: 10,
width: 100,
height: 3400,
marks: [
Plot.frame({ fill: "lightgray" }),
Plot.tickY([0, 56, 99, 440, 560, 975], {y: d => d, stroke: "black"}),
Plot.tickY(allSNPs, {
y: "Position",
stroke: "#00308f",
strokeOpacity: 0.25,
strokeWidth: 2,
}),
Plot.tickY(consensusB, {
y: "AAPOS",
stroke: "#ff7e00",
strokeOpacity: 0.4,
strokeWidth: 2,
title: "AAREF"
})
]
})
)
addTooltips(
Plot.plot({
color: {
type: "linear",
range: ["steelblue", "black"]
},
y: { reverse: true },
inset: 10,
width: 100,
height: 3400,
// Because the faceting is on the allSNPs data, the consensusB data is repeated across facets
facet: {
data: allSNPs,
x: "Letter"
},
marks: [
Plot.frame({ fill: "lightgray" }),
Plot.tickY([0, 56, 99, 440, 560, 975], {y: d => d, stroke: "black"}),
Plot.tickY(allSNPs, {
y: "Position",
stroke: "#00308f",
strokeOpacity: 0.25,
strokeWidth: 2,
}),
Plot.tickY(consensusB, {
y: "AAPOS",
stroke: "#ff7e00",
strokeOpacity: 0.4,
strokeWidth: 2,
title: "AAREF"
})
]
})
)