154 lines
117 KiB
Plaintext
154 lines
117 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "7855cd6e-63d4-422c-9c42-1cb02be29702",
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"metadata": {},
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"outputs": [],
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"source": [
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"scores <- read.csv(\"wolf_paired_scores.csv\", header = TRUE)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "27b28f13-8f6f-448a-9e82-acf3eeee42ca",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAADAFBMVEUAAAAAAAAAAAAAAAAA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\nSDhc4
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"text/plain": [
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"plot without title"
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]
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},
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"metadata": {
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"image/png": {
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"height": 420,
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"width": 420
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}
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"plot(scores)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "0114755c-beb6-4c97-bd32-43e2888788ed",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAACXBIWXMAABJ0AAASdAHeZh94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\nV1s+3
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"text/plain": [
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"Plot with title “Histogram of scores$ali_length”"
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]
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},
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"metadata": {
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"image/png": {
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"height": 420,
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"width": 420
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}
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"hist(scores$ali_length)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "36a084e3-d084-4a14-9fcc-b4cabba0ef64",
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"metadata": {},
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"outputs": [
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{
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"data": {
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|
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAACXBIWXMAABJ0AAASdAHeZh94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\ns9X11
|
||
|
|
"text/plain": [
|
||
|
|
"Plot with title “Histogram of scores$score_norm”"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"image/png": {
|
||
|
|
"height": 420,
|
||
|
|
"width": 420
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"hist(scores$score_norm)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 7,
|
||
|
|
"id": "58141d2c-b523-48db-8b82-80de70886406",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"ratio <- read.csv(\"wolf_ratio.csv\",header = TRUE)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 9,
|
||
|
|
"id": "9f4db6ec-50d8-43de-9b73-cc535ad58596",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAACXBIWXMAABJ0AAASdAHeZh94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\nqe7oX
|
||
|
|
"text/plain": [
|
||
|
|
"Plot with title “Histogram of log10(ratio$Mutant_Count/ratio$Origin_Count)”"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"image/png": {
|
||
|
|
"height": 420,
|
||
|
|
"width": 420
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"hist(log10(ratio$Mutant_Count/ratio$Origin_Count))"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "7d58de3d-ca00-4911-b966-06c2bfb0fc37",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "R",
|
||
|
|
"language": "R",
|
||
|
|
"name": "ir"
|
||
|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": "r",
|
||
|
|
"file_extension": ".r",
|
||
|
|
"mimetype": "text/x-r-source",
|
||
|
|
"name": "R",
|
||
|
|
"pygments_lexer": "r",
|
||
|
|
"version": "4.1.2"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|