{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c58e388f-5ea4-4ddf-bff4-f799ec888588",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Animals, protists and bacteria share marine biogeographic patterns\n",
    "Luke E. Holman, Mark de Bruyn,Simon Creer,Gary Carvalho3,Julie Robidart,and Marc Rius\n",
    "\n",
    "https://github.com/leholman/SAeDNA17/tree/3.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "73f6ae11-ad0d-4107-9419-2c22722708fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#注意\n",
    "#该流程至少需要2个及以上的样本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "36ad9e28-5f9c-4229-b9ec-d22e9ab8d0cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext rpy2.ipython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9acc8bc-d157-4bb7-a8e5-28086d026bb7",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "%%R\n",
    "install.packages(\"BiocManager\")\n",
    "BiocManager::install(\"dada2\", version = \"3.16\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cc9ee91-8173-406d-b628-825cde122026",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "%%R\n",
    "install.packages(\"devtools\")\n",
    "devtools::install_github(\"tobiasgf/lulu\")\n",
    "devtools::install_github(\"leholman/metabarTOAD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54980db4-aafa-4539-8af4-01c92218f0ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "#从终端安装\n",
    "#!sudo apt install cutadapt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "d66bf9d9-3372-496b-a661-68db536b1f63",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "%%R\n",
    "#https://github.com/leholman/metabarTOAD A metabarcoding pipeline for analysing Illumina amplicon data.\n",
    "#https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689084/\n",
    "library(\"metabarTOAD\")\n",
    "library(\"lulu\")\n",
    "library(\"dada2\")\n",
    "library(\"Biostrings\")\n",
    "library(\"data.table\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b62fb89-5bbb-4cb2-aa8b-a682a8b375e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "#创建目录结构 每个步骤都有自己的单独目录\n",
    "Folders()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "121f241e-330b-4ef4-b098-9d130be4c5fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"summaries\" : [ {\n",
      "    \"accession\" : \"PRJEB38452\",\n",
      "    \"secondaryAccession\" : [ \"ERP121880\" ],\n",
      "    \"title\" : \"South African marine eDNA 2017\",\n",
      "    \"description\" : \"Seawater samples collected across the coastline of South Africa were selected to represent natural and anthropogenically impacted sites. Metabarcoding of the eDNA extracted from these samples was performed, targeting a section of the eukaryotic cytochrome c oxidase I gene (COI), a section of the V4 region of the eukaryotic nuclear small subunit ribosomal DNA (18S) and the V3-V4 hyper-variable region of prokaryotic small subunit ribosomal DNA (16S).\",\n",
      "    \"dataType\" : \"PROJECT\",\n",
      "    \"status\" : 4,\n",
      "    \"statusDescription\" : \"public\"\n",
      "  } ],\n",
      "  \"total\" : \"1\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "#下载数据\n",
    "import requests\n",
    "\n",
    "#我们使用 EMBL-EBI的REST API来下载数据\n",
    "#PRJEB38452是这篇文献数据归档的SRA编号\n",
    "summary = requests.get(\"https://www.ebi.ac.uk/ena/browser/api/summary/PRJEB38452?offset=0&limit=100\")\n",
    "print(summary.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71836d5a-4beb-429d-9e32-32d458add760",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "#可以看到这个项目所有提交的 样本文件\n",
    "files = requests.get(\"https://www.ebi.ac.uk/ena/portal/api/filereport?result=read_run&accession=PRJEB38452&offset=0&limit=1000&format=json&fields=study_accession,secondary_study_accession,sample_accession,secondary_sample_accession,experiment_accession,run_accession,submission_accession,tax_id,scientific_name,instrument_platform,instrument_model,library_name,nominal_length,library_layout,library_strategy,library_source,library_selection,read_count,base_count,center_name,first_public,last_updated,experiment_title,study_title,study_alias,experiment_alias,run_alias,fastq_bytes,fastq_md5,fastq_ftp,fastq_aspera,fastq_galaxy,submitted_bytes,submitted_md5,submitted_ftp,submitted_aspera,submitted_galaxy,submitted_format,sra_bytes,sra_md5,sra_ftp,sra_aspera,sra_galaxy,cram_index_ftp,cram_index_aspera,cram_index_galaxy,sample_alias,broker_name,sample_title,nominal_sdev,first_created\")\n",
    "print(files.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f50cfc9-b790-4e71-b457-06c04d37214f",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "#任意下载一组\n",
    "wget https://ftp.sra.ebi.ac.uk/vol1/fastq/ERR417/008/ERR4173718/ERR4173718_1.fastq.gz -P 1.rawreads\n",
    "wget https://ftp.sra.ebi.ac.uk/vol1/fastq/ERR417/008/ERR4173718/ERR4173718_2.fastq.gz -P 1.rawreads\n",
    "wget https://ftp.sra.ebi.ac.uk/vol1/fastq/ERR417/009/ERR4173719/ERR4173719_1.fastq.gz -P 1.rawreads\n",
    "wget https://ftp.sra.ebi.ac.uk/vol1/fastq/ERR417/009/ERR4173719/ERR4173719_2.fastq.gz -P 1.rawreads\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "193919aa-69bf-4d4a-8210-2698b9dcb7e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "#https://barricklab.org/twiki/bin/view/Lab/ProtocolsMassRename\n",
    "for f in *_1.fastq.gz;\n",
    " do new_name=$(echo $file|sed 's/_1.fastq.gz/_1_L001_R1_001.fastq.gz/');\n",
    " mv -i $file $new_name;\n",
    "done\n",
    "\n",
    "for file in *_2.fastq.gz;\n",
    " do new_name=$(echo $file|sed 's/_2.fastq.gz/_1_L001_R2_001.fastq.gz/');\n",
    " mv -i $file $new_name;\n",
    "done"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "30be4acf-67bd-4463-a909-bfda1f71e5ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "#预览文件内容\n",
    "zcat ./1.rawreads/ERR4173718_1_L001_R1_001.fastq.gz | head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "875c9753-310a-4809-8d8f-ad0c9ceb4c93",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "zcat ./1.rawreads/ERR4173718_1_L001_R2_001.fastq.gz | head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "576bc2ac-2f22-441d-9004-311bab8df0f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Common Substring ::> T\n"
     ]
    }
   ],
   "source": [
    "#任意找2条序列 看看有没有共有的序列 这些序列可能是引物或者其他接头\n",
    "from difflib import SequenceMatcher \n",
    "def matchsubstring(m,n): \n",
    "   seqMatch = SequenceMatcher(None,m,n) \n",
    "   match = seqMatch.find_longest_match(0, len(m), 0, len(n)) \n",
    "   if (match.size!=0): \n",
    "      print (\"Common Substring ::>\",m[match.a: match.a + match.size])  \n",
    "   else: \n",
    "      print ('No longest common sub-string found') \n",
    "        \n",
    "matchsubstring(\"TGTAATGGAACTGGATGAACTGTTTACCCTCCTTTATCATCTAAAGCTGGACAACCTGGTCCTGCAATGGATCTTGCGATTTTAAGTTTACACTTAGCGTGTGCTTCATCAATCTTAGGTGCAGTTATCTTTATTACGACAATATTAAACATGAGAACACCAGGCATGACATTACATAAAATGCCATTATTTGCTTGGTCAGTTTTAGTTACAGCATTTTTATTATTATTATCTTTACCAGTTTTAGCGTTTGCGATTACGATGTTGTTAACTGCTCGTCATTTTCGAACAGCTTTTTTTT\",\n",
    "                   \"TCGACTTCGGTGTTGCCGCCGCATCAAACTCAATGTTGGTATCCTCCTTGTTCTCCACCTGTCTGAGCTTCCCCAACTGCTGTTCCAAACTTTCTATCTGTTCTCAACATCGTCATCGCACCCGCTAATCCTGGTCACGCTCATACTAATAAACATGCTGTACCTCCAACTGCCCACGCACATATTGGCCTTTTCTGTCATGTCCTTCCTGTTGTTCTCCTTTTTCTTCTTTTCGTCATCCTGTTACCTGCTCCTACTCTTGCTGATCCCCCCGCTACCTGTCCACTTCTAATCTCCCT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "d6d4051f-cd61-4f27-bf11-69e96a5545f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] 19719.98\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "files <- list.files(\"1.rawreads\",pattern=\".fastq\",full.names = TRUE)\n",
    "rawreadcount <- sapply(files,FastqCount)\n",
    "mean(rawreadcount)\n",
    "sd(rawreadcount)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "412e78a9-fd67-4222-84b9-48cd45835ecb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"1.rawreads/ERR4173718_1_L001_R1_001.fastq.gz\"\n",
      "[2] \"1.rawreads/ERR4173718_1_L001_R2_001.fastq.gz\"\n",
      "[3] \"1.rawreads/ERR4173719_1_L001_R1_001.fastq.gz\"\n",
      "[4] \"1.rawreads/ERR4173719_1_L001_R2_001.fastq.gz\"\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "list.files(\"1.rawreads\",pattern=\".fastq\",full.names = TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "9d42f611-8336-4c06-80ed-0bebf2b2c151",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "R[write to console]: Using function supplied primer data to trim primers\n",
      "\n",
      "R[write to console]: Trimming primers from sample 1 of 2 Sample Name:ERR4173718\n",
      "\n",
      "R[write to console]: Trimming primers from sample 2 of 2 Sample Name:ERR4173719\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "#文献中实际包含了两种流程 UPARSE 和 DADA2\n",
    "#我们使用DADA2进行演示\n",
    "#COI\n",
    "dadaReadPrep(PrimerF = \"NNNNNNGGWACWGGWTGAACWGTWTAYCCYCC\",\n",
    "             PrimerR = \"TAIACYTCNGGRTGNCCRAARAAYCA\",\n",
    "             cutadaptdest = \"/usr/bin/cutadapt\", \n",
    "             ncores = 15\n",
    ")\n",
    "\n",
    "#18S\n",
    "#dadaReadPrep(PrimerF = \"NNNNNNAGGGCAAKYCTGGTGCCAGC\",\n",
    "#             PrimerR = \"GRCGGTATCTRATCGYCTT\",\n",
    "#             cutadaptdest = \"/usr/bin/cutadapt\", \n",
    "#             ncores = 15\n",
    "#)\n",
    "\n",
    "#16S\n",
    "#dadaReadPrep(PrimerF = \"NNNNNNCCTACGGGNBGCASCAG\",\n",
    "#             PrimerR = \"GACTACNVGGGTATCTAATCC\",\n",
    "#             cutadaptdest = \"/usr/bin/cutadapt\", \n",
    "#             ncores = 4\n",
    "#)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "abf4ab4b-7a2d-4d6d-9ada-47e69a6168e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "#Lets list the files\n",
    "fnFs <- sort(list.files(\"7.DADA2/trimmed.reads\", pattern=\"R1.stripped.fastq.gz\", full.names = TRUE))\n",
    "fnRs <- sort(list.files(\"7.DADA2/trimmed.reads\", pattern=\"R2.stripped.fastq.gz\", full.names = TRUE))\n",
    "sample.names <- gsub(\"(.*).R1.*\",\"\\\\1\",basename(fnFs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "49fa59c2-ab60-4b3e-accb-c2ed001e95fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "library(ggplot2)\n",
    "plotQualityProfile(fnFs[1:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "1ac2ab33-c574-4d0c-bddc-4cd05ccc8b01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "library(ggplot2)\n",
    "plotQualityProfile(fnRs[1:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "5942c178-61fd-4408-9ec6-1005fbcd722c",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "#过滤\n",
    "filtFs <- file.path(\"7.DADA2/filtered\", paste0(sample.names, \"_F_filt.fastq.gz\"))\n",
    "filtRs <- file.path(\"7.DADA2/filtered\", paste0(sample.names, \"_R_filt.fastq.gz\"))\n",
    "#COI\n",
    "out <- filterAndTrim(fnFs, filtFs, fnRs, filtRs, truncLen=c(250,230),\n",
    "                     maxN=0, maxEE=c(1,1), truncQ=2, rm.phix=TRUE,\n",
    "                     compress=TRUE, multithread=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "b73b8cd0-32d2-4212-8d31-9ec5902149ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "72756250 total bases in 291025 reads from 2 samples will be used for learning the error rates.\n",
      "66935750 total bases in 291025 reads from 2 samples will be used for learning the error rates.\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "#构建错误模型\n",
    "errF <- learnErrors(filtFs, multithread=15)\n",
    "errR <- learnErrors(filtRs, multithread=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "c9c5d74e-805d-4f7f-ab4c-411e7f974349",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "plotErrors(errF, nominalQ=TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "2f4c1f06-c996-4728-a09a-d50431f51f14",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "R[write to console]: Dereplicating sequence entries in Fastq file: 7.DADA2/filtered/ERR4173718_F_filt.fastq.gz\n",
      "\n",
      "R[write to console]: Encountered 33964 unique sequences from 160704 total sequences read.\n",
      "\n",
      "R[write to console]: Dereplicating sequence entries in Fastq file: 7.DADA2/filtered/ERR4173719_F_filt.fastq.gz\n",
      "\n",
      "R[write to console]: Encountered 28706 unique sequences from 130321 total sequences read.\n",
      "\n",
      "R[write to console]: Dereplicating sequence entries in Fastq file: 7.DADA2/filtered/ERR4173718_R_filt.fastq.gz\n",
      "\n",
      "R[write to console]: Encountered 33475 unique sequences from 160704 total sequences read.\n",
      "\n",
      "R[write to console]: Dereplicating sequence entries in Fastq file: 7.DADA2/filtered/ERR4173719_R_filt.fastq.gz\n",
      "\n",
      "R[write to console]: Encountered 28950 unique sequences from 130321 total sequences read.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "#去重\n",
    "derepFs <- derepFastq(list.files(\"7.DADA2/filtered\", pattern=\"F_filt.fastq.gz\", full.names = TRUE), verbose=TRUE)\n",
    "derepRs <- derepFastq(list.files(\"7.DADA2/filtered\", pattern=\"R_filt.fastq.gz\", full.names = TRUE), verbose=TRUE)\n",
    "\n",
    "names(derepFs) <- sapply(strsplit(basename(list.files(\"7.DADA2/filtered\", pattern=\"F_filt.fastq.gz\", full.names = TRUE)), \"_\"), `[`, 1)\n",
    "names(derepRs) <- sapply(strsplit(basename(list.files(\"7.DADA2/filtered\", pattern=\"R_filt.fastq.gz\", full.names = TRUE)), \"_\"), `[`, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "db184583-c85e-4c82-bc4b-32009ecf1a1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample 1 - 160704 reads in 33964 unique sequences.\n",
      "Sample 2 - 130321 reads in 28706 unique sequences.\n",
      "Sample 1 - 160704 reads in 33475 unique sequences.\n",
      "Sample 2 - 130321 reads in 28950 unique sequences.\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "#去噪：排除测序错误后 识别真正的突变\n",
    "dadaFs <- dada(derepFs, err=errF, multithread=TRUE)\n",
    "dadaRs <- dada(derepRs, err=errR, multithread=TRUE)\n",
    "names(filtFs) <- sample.names\n",
    "names(filtRs) <- sample.names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2d4a2a9-316a-41d6-9641-e680b640efd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "#合并R1、R2\n",
    "mergers <- mergePairs(dadaFs, derepFs, dadaRs, derepRs, verbose=TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "2a1e3dd8-bd7a-4c21-a93a-2bdde36e8398",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]    2 1571\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "#构建sequence variant table (ASV )\n",
    "seqtab <- makeSequenceTable(mergers)\n",
    "dim(seqtab)\n",
    "table(nchar(getSequences(seqtab)))\n",
    "#seqtab2 <- seqtab[,nchar(colnames(seqtab)) %in% seq(300,320),drop=FALSE] #因为只有一个样本 加上drop=FALSE 避免matrix变成vector\n",
    "seqtab2 <- seqtab[,nchar(colnames(seqtab)) %in% seq(300,320)]\n",
    "dim(seqtab2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "139d0cb0-730a-4549-9f3e-a1fc3666c228",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "%%R\n",
    "#删除嵌合体\n",
    "seqtab.nochim <- removeBimeraDenovo(seqtab2, method=\"consensus\", multithread=TRUE, verbose=TRUE)\n",
    "dim(seqtab.nochim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "eff07b52-ab97-48b4-822b-17397527066e",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "seqtab.final <- collapseNoMismatch(seqtab.nochim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "56affa4c-9f82-479f-8a3b-60c1825d9bbe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "$names\n",
      "[1] \"ERR4173718\" \"ERR4173719\"\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "attributes(mergers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "2b538157-ba57-42a7-8099-aef4aad4d975",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           primerstripped filtered merged nonchim seqcollapsed\n",
      "ERR4173718         180508   160704 153618  140728       140728\n",
      "ERR4173719         146903   130321 124236  113675       113675\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "rownames(out) <- sample.names\n",
    "getN <- function(x) sum(getUniques(x))\n",
    "track <- cbind(out,sapply(mergers, getN), rowSums(seqtab.nochim),rowSums(seqtab.final))\n",
    "colnames(track) <- c( \"primerstripped\",\"filtered\",\"merged\", \"nonchim\",\"seqcollapsed\")\n",
    "rownames(track) <- sample.names\n",
    "head(track)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "a95c7be8-f22b-4c74-b587-63cf5b2312c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "#Write out\n",
    "write.csv(seqtab.final,\"7.DADA2/finalDADA.out.csv\")\n",
    "write.csv(out,\"dada2.readsurvival.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "44ffa7d0-e637-4071-b7bb-420f13674c2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]    2 1450\n"
     ]
    }
   ],
   "source": [
    "%%R\n",
    "dim(seqtab.final)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc203a19-f4c7-4a6b-b5ad-f6f410090ead",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "%%R\n",
    "#1.output DADA2 OTUs in fasta\n",
    "dna <- DNAStringSet(getSequences(seqtab.nochim))\n",
    "names(dna) <- paste0(\"OTU_\",1:length(dna))\n",
    "writeXStringSet(dna,\"5.OTUs/dada2.fasta\", append=FALSE,\n",
    "                compress=FALSE, compression_level=NA, format=\"fasta\")\n",
    "#2.save dada2 output for lulu\n",
    "colnames(seqtab.nochim) <-paste0(\"OTU_\",1:length(dna))\n",
    "lulu.seqtab <- as.data.frame(t(seqtab.nochim))\n",
    "write.table(lulu.seqtab,\"7.DADA2/lulu.dada2.pre.csv\",sep=\",\")\n",
    "\n",
    "#3. apply algorithm\n",
    "ApplyLulu(seqs=\"5.OTUs/dada2.fasta\",\n",
    "          table=\"7.DADA2/lulu.dada2.pre.csv\",\n",
    "          output=\"8.LULU/AllSamples.lulu.dada2.csv\",\n",
    "          vsearchdest=\"/usr/bin/vsearch\")\n",
    "\n",
    "\n",
    "str(lulu.seqtab)"
   ]
  }
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