{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Utility functions for sequences"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## One-hot encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from chame.util.seq import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 0, 0, 0],\n",
       "       [0, 0, 0, 1],\n",
       "       [0, 0, 0, 1],\n",
       "       [1, 0, 0, 0],\n",
       "       [1, 0, 0, 0],\n",
       "       [1, 0, 0, 0],\n",
       "       [0, 0, 1, 0],\n",
       "       [0, 0, 1, 0],\n",
       "       [0, 0, 0, 1],\n",
       "       [0, 0, 0, 1]], dtype=int32)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sequence_to_onehot(\"attaaaggtt\".upper())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  }
 ],
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