cutadapt 的安装与使用

cutadapt 是一款质量过滤的软件, 它可以删除adapter, primer. polyA尾等序列;也可以用来去除低质量序列

源代码: https://github.com/marcelm/cutadapt/

官方文档:http://cutadapt.readthedocs.org/en/stable/

安装:
          git clone https://github.com/marcelm/cutadapt/
          cd cutadapt
          python setup.py build_ext -i
          cd bin
          export PATH=$PATH:$PWD
测试:
1) 去除3端引物序列
在建库的过程中,会在DNA序列的3端加上对应的引物序列, 当测序仪的读长read 过长时,比如建库后的DNA fragement 长度是 200bp , 机器读长是250bp, 机器从序列的5端开始测序,因为读长大于序列长度,会读到adapter 序列,测序得到的reads的3端就会包含引物序列,用法:
cutadapt -a AACCGGTT -o output.fastq input.fastq
-a 指定的是3端引物序列
去除3端
aaarticlea/png;base64,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" alt="" />
如果机器读长大于fragment 的长度,会出现两种情况;
1) 在测序得到的序列的3'末端会出现部分adapter 序列;
2)在3'末端有完整的adapter 序列,在adapter 序列之后还有其他随机测到的序列;
input.fastq的内容如下:
@NB001
ATCATATCGATCTAGCCAACCGGTTACGA
+
/////////////////////////////
@NB002
ATCATATCGATCTAGCCAACCG
+
//////////////////////

3'端adapter 的序列为 AACCGGTT, 运行上述程序, output.fastq 的结果如下:

@NB001
ATCATATCGATCTAGCC
+
/////////////////
@NB002
ATCATATCGATCTAGCC
+
/////////////////

对上述两种情况,cutadapt 会把adapter 序列都清除干净

2)去除5'端引物序列

在建库过程中,如果在5端添加adapter 序列, 也需要去除5端引物序列
 
cutadapt 的安装与使用aaarticlea/png;base64,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" alt="" />
通常情况下,5段引物序列位于序列的起始位置,但是当5端引物降解时,可能只有部分引物序列会出现在序列的起始位置;有时5段引物序列还会出现在序列中间,这时引物序列之前的序列都会被切掉
假设引物序列是ADAPTER, 测序得到的序列是 MYSEQUENCE, 5端引物可能出现的情况有以下几种
ADAPTERMYSEQUENCE                       : 正常情况
DAPTERMYSEQUENCE                        : 部分降解
TERMYSEQUENCE                              : 降解严重
SOMETHINGADAPTERMYSEQUENCE      : 在5段接头之前混入其他序列,接头序列被污染
 
上面所有的情况,在切除5段引物时,这些污染序列都会被切除,只剩下正常的序列, 用法:
cutadapt -g AACCGGTT -o output.fastq input.fastq
input.fastq 的内容:
@NB001
AACCGGTTATCATATCGATCTAGCC
+
/////////////////////////
@NB002
CGGTTATCATATCGATCTAGCC
+
//////////////////////
@NB003
GTTATCATATCGATCTAGCC
+
////////////////////
@NB004
ACGTAAACCGGTTATCATATCGATCTAGCC
+
//////////////////////////////

output.fastq 的内容:

@NB001
ATCATATCGATCTAGCC
+
/////////////////
@NB002
ATCATATCGATCTAGCC
+
/////////////////
@NB003
ATCATATCGATCTAGCC
+
/////////////////
@NB004
ATCATATCGATCTAGCC
+
/////////////////

可以看到所有的adapter 序列都被清除干净了

有一种特殊的情况叫做 Anchored adapter , 就是说只有当在reads的3’或者5'端出现长度一致的序列时,才认定这是一段adapter 序列,才会进行相应的去除adapter 序列的操作;

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7xvjeAFcAKUgDQADQQMg0AVgArQYMiwErIjFTQBIrxwqhCA/o1oANW8K2v/r71FXr2p2fACmAFT9XQADQQMg3oghXCT1EroGPdwwo7gJWQGamwCh3z9vc0g3WrznXT4TRFH/gpbgV0rHtY9yRgZT1hZX4BT6zrub7oG/qCBnxpQIfTBKwUByri0zrWHbBS+JFjXf8voeAfXZ57SG2tvfTqsS7azK9XTw5R9/iybTwmqLn+Ozp3v8Qns4cR2neslz5/WGI/0qgv09jAbRqa1dEX+gir0cC8g699HU4TsAJYKactQGTF95PZHHWc6qIdrWM0I/tYpLH2XqppvEV35e8L1N1SabAyQ5+f1AU+wTfY5dxouBb0UkkaAKwUDxo6WuhY90rSUTnHAljxCyuLHFU5f5si84oRllGQPuoQkYuHt+mdU7dp0m//TjutkZUxel9blAbOp5wbFdeC3nRqQIfTLGtkZe0Gze2vpdjxH2ktSQ1Rmnt9K83K1w6aPXyBns2rSLFK88drafYfTfQs1YgWmp02/N89B2huJE4JbrZ85YDdl/L+6x/Sgujyzodp79l/57dc/e1voqex7FijY9116iBIfQFWSoUJp/3iHEW+6JWRlrgdWYkvehnYZZqJjFBdUzfVcOqopr6XzkTmlbzzNHVwROZlmVr6jo78a5D+ogLG7AM69/F3duqpm/Z9MWFfb4UmRWTn/F262z5Iu2V75f0phic7XSVSVpvVPqfGqPlUd+qa3/6WHI/Tp5ibTHe13E1eL0hCx1jh7KGBlAZ0OM1ywsracBM97o9SfH8KEogErDi/r9JyfxPDB//ugMnajzRXP0ALX9bS3J0UQAi4cH5fm+qk2K5aik8pgCHA5GAnLavMIf7WHPWkELW/pa8ZeNLbKq10rHtYdQxY0QArwqFbNSu3uB7EqVnJ5hzmKdI+Qn0PFy0giN5isBikPhmhWaCh8wwxJyM0JkFnkSZ7B2ibAhbxSITODc1YbTm6c6api44MWIW81jj66Nxo3Hp/9h69X596f2nFI7Iy/4AaG7toX7sNKIu/caqom96/qfb5HTUO2X1qWK+wbjbMG8BUKRrQ4TR9wYoaoWBImBteLCC7skrPjh+QEYvnZ95UwEOFFdHNIj09zCAyvCr7FIATuxIn+uWCBA0RPRE/KlwQxenpwRS8yA+UACsUE/DziRWN8fjRse6VoqFyjwOwosv5isjKZVGzMkRDamoob/8KQMzfpSMcTXEV5eZJAw21CtCw4EXCCoOOmnqK/KubNnO0xxJWJqzEBwZoc+OIXWdjORP5N7uNV5/lFimuBycPDejVgA6n6QtWFAeeWBqgx3su0PO8uMJQsr+dUYQoIUDizK82eKTDigUiElAklDgRE/7cXy8kAUKFlZWJdoYLd5ooK6wkU04iTeROA1mRmlVaFJEVV6rKPTkd6x7WvQBYyQsTxRgJAQNd1BjJ0+bhPTrX0kc7OerhSsl4gUn63xZnqO/yIL3TaKWRRPtcsGLBhlM7kwkrTlTIGofyOjUqC4cBK8Xcf3w2rIY0aPPW4TRzwYqrjkNJiyRiAwweO5X6DzWt400tDqBY4RKuXUkCTi5YsQDFAiFRu/JnevJLKrJi1blso1lRYzJhRWKSPz4iK1Z//DrcTgtL2elLx7oHTWu6xgtY8Qkr8Zs3aEeTOyJhRS66qXk0h9Oy4ePc6AxZNS0KQMyOUl3OyIo4zcNwcnmCJuesNFLuyMqyfL/m/IOskZWlm0NU08RppyzrAFgBgOgyNuincrSkw2kWH1nhNM1Rjnx8PUP/lf48Eza83PxCM0OFK6rhgEd6e5HS2SbTRBJwXG0YJDgiY0Vc0tI+6Rf1ASvymktcI7OHr8Pzy/ajY93Duo8AKz5hZWmFv0dF1HpcfmgfXY5baaAMgEkzUBGGAz7eHHFqUoaGuGbFOU48R22u49BxGvrXdxxBcd7n+hKGmTOjdr0LR2gauWbFFVmpH6TuWfv9++J0koAnp45GgBG3j/LvszF73GIe3XSk166D4TqZmeg96otaRb+AlcpxMGE1Upi3fg3qcJrFw4pVH/K4X0QyFmnh68OudIq3g2cg4TTNvHKaR57a+XIyDXa4vy/573a6SACOU7si+xW1JG9ZqaT1ghVxmZX+97jIN3tqS8e6h3U/AFZ8wwobENcpmm7a3RKhu3P5DAuf9uHTPM5JoOahCfd3n4g+ucBVvP9y0yB9Hr3LgOLACn+p27cDtNM56XN+jIt1e92w0jhAja7+Y8pJo3ku4LVOGom+u6fssabP4+Nb1DdlAQ5gJd/9xPthNZ5BnrcOp1k8rHBC5g4Xu+7i6MOunRQ7e4EeK7UfXrCSEMWxRwdoRX1zqp1mJXgoR5d3vcnHmjvpuUzB/EpP9rxHT13pmEmKv/U3eerHN6zkrVkR1+br7E+lnNLnpGPdg6y7UsYOWCkFViqsLcAC4FCKMUDb8OhHh9P0AyvZqznC8Y6OdQ/rPgWsVBhwlCJEwEp4nE0pOkFb6ESH0wSsFA9YOtY9rPsXsFJFsBJWEWPecL7QQHEa0OE0ASuAlXLuO8AKYMXX/7W1nCLFtYpzRFgvrFc+DQBWigcNHS10rHu+e1ut7wNWACuAFWgAGgiZBnQ4TURWiscXHeterTCSb16AlZAZqXyCwPt4KocGql8DOpym6AOv4tcA+8vf/gKsAFbwVA0NQAMh04AOWIHT9ed0sW7+1g2wEjIjhY3ib6Ng3bBu1aQBwAr0HDQ9A1YAK3iqhgaggZBpALACWAGsJCiRKOy1odAP6v4cNio2atA2KsYLzerUAGwg9KRTT+XoC5GVkD1RlUNUuAYMITRQ2RoArFT2/cH+ybw/oYUVVLEXX8WONcOaQQPQADQADZjSgO4sS6H9GU0DFTpIfK6wnB7WCesEDQRHAyafUqGT4Oikku6VSc0CVgos7qkkwWAsMDTQQPA1YNLwQz/B14+Je2hSs4AVwErB1dgmNgeuCaNarRowafirdU0xr/W1FyY1C1gBrABWoAFowIAGTBp+OPX1derVur4mNQtYMWCkqlXImBcMIDRQuAZMGn7cp8LvE9YqtVYmNQtYAazgqRoagAYMaMCk4YcDBqz40YBJzQJWDBgpPyJBGxgXaKC6NGDS8ENL1aWlct1Pk5oFrABW8FQNDUADBjRg0vCXy7nhOtUFRSY1C1gxYKSwgatrA+N+4n760YAOw2/qi8GCfl0/9wttEqRDs37XEbACWMFTNTQADRjQgA7DL/rAT3EroGPd/TrcoLczuXaAFQNGKuiCxfgRSYAGSteADsMPWCkOVMSndax7WPVvcu2qH1aWX+CpEUAGDUADFacBHYYfsAJYKSc46dCs3/EGH1amf6K3j3XRZuX1ymeTtmGapJb6Hro0UeJTkLzGNbo8XWI/0mGs0aPrdygS19EX+vArfLSDdkxrQIfhB6wAVsqpYx2a9Tve4MNKZJg2f/ozvfB8cnxBfZ9WGqw8ocsf6AIfOBy/wkc7aMe0BnQYfsAKYKWcOtahWb/jDTysxK5coz99Ne0d4p2+Q+9+dIdipYbAtUZWxqlBW5QGDsev8NEO2jGtAR2Gv6ywsnaD5vbXUuz4j7SWZIQozb2+lWblawfNHr5Az+ZVgFil+eO1NPuPJnqWakQLzU4b/u+eAzQ3EqcEN1u+csDuS3n/9Q9pQXR558O09+y/81uu/vY30dNYdojRse6mtWPq+ibXLvCwEvmsi/7Z/SxLPvoFvVj1MsprND8aoX82XaUaTh/V1F+js6NLSh+PqZsjMq/I1FIPHb10nf5HBYz4f+jSJz20Vb5/ld7+92QyshP75hrVfPYzPfjmOu1Jfz/G8ORKWSkRltg4tXx0NXXN7tnkeJw+o/++Zl0zayQJDsjUJsZ1ob1iNaDD8JcTVtaGm+hxf5Ti+1OQQCRgxfl9lZb7mxg++HcHTNZ+pLn6AVr4spbm7qQAQsCF8/vaVCfFdtVSfEoBDAEmBztpWWUO8bfmqCeFqP0tfc3Ak95WaaVj3Yu919XyeZNrF3BYeUIdH3TZDt4Ch3c/u08xT0BRjekSRb+J0PD07xYQjP3AYHGdhpfFZ15Q5DOGmA9+okeyn98p1v89/UGBlRejP9Glm0+stqu/0dmmLjp63SrkFWCx+Vg/Xbr33Ho/fp8a6lPvJxIekZXl/1BTYxe9/Y0NKKuznCq6Sg0Rtc8earpp91lqpAjtK67YslqMGeZROLTpMPy+YGXpV3pycKcrShG7Es+TT1mlZ8cPyIjF8zNvKuChworoYpGeHmYQGV6V/QnAkX3/ckGChoieiB8VLoji9PRgCl7kB0qAFYoJ+PnEisZ4/OhY97Dq3OTaBRxW2DAsPKP55TXL+SxPs5Pvoj+cHc9Sw5LNkCgAsfwzHeVoiqsoN08aKHJWgIYFLxJWGHTU1FP00lXazGOyBJ4JKy+uf0+bGyP0QIEI+Te7jVefYd0smHfhzhBrVdlrpcPw+4GVheZtFPt6hv7LjnxlhKMVHPlYyYMqMoKyv51RhCghQOLMrzZ4pMOKBSIO/Cw0OxET/txfLyQBQoWVlYl2hgt3migrrCRTTiJN5E4DWZGaVVoUkRVXqso9OR3rHta9ZXLtgg8r6VECUXB7bJgi+aIH0/fp0qf99CeOelgnieyUjBeYpP9t9QkNf3Wd3m200kiifS5YsWDDqZ3JhBUrGuM+0SR//yhK81kAKKybBfOubAeM+1P4/dFh+HPBiquOQ0mLZMDK0fyw4gCKFS7h2pU9F+i5/CUXrFiAYn1O1K78mZ78koqsWHUu22hW1JhMWJGY5I+PyIrVH78Ot9PCUnb60rHuYdW5ybWrPli5eZ0219+kaC5YseHj0r0ndk2LAhDxKP0zZ2RFnOZhOPlqkmILVhopd2RlTb5f89l/skZWEgxYNU2cdsoyZkRWCncAYTUimHfwNKLD8PuJrKxcfY9m/2qngfIUozouXwBOEgYkFDjgkQ4rIqWzTaaJJOC4IiHcjiMy4sedBvIACx+wIq+5xDUye/g6HDnK9qNj3cO630yuXbBhZWGSLn91nx45aSBRHyJqP67Y9STZgGWU4aDxB4o6NSk3h7lmxSl2fUYdH3XRHzkFI6IaicRzilzq4QiK8z7XlzDMnL1n17twhKaJa1ZckZX669QXt9+fEN/RcpVa7tmpKpkG4vZj/Hv8qX0N/j4YjtIc7XfG/TvNj92n4TGr6BewEjxHFFZjhnkXrlUdhr94WBEw8Xd3MWshKSBO08wrp3nkqZ0vJ9MiK4tcSMt/t9NFAnCc2hV5CVFL8paVSlovWBGXWelnGEtGfjInp2Pdw6pzk2sXbFhZfkzDn/XTH+0Uyiv1/dTiFL7mTAPxaR8+zeOcBGq5ydCjfveJOJnDBa7i/VeartPlsZ8ZUBxY4S916/6e/uSc9PlsnIt1r7lhpfF7anL1/1Qp6FziAl7rpJHouy9mGzfXaaCrtOeTH2g4ZgEOYKVwBxBWI4J5B08jOgx/8bDCBbJn33RHPDi6Mp/jqG9CFMemp4qm2mlWgodydHnXm3ysuZOeyxQMF/HueY+eutIxkxR/628SlHzDSt6aFXFtvs7+VMopHVd0rHtY95vJtQs2rOSrSzHwPsAieE4jrIYH8zarVR2Gv2hYEUeJd1mneqwfjrQc3cpHkkW8Ixw/OtY9rHvH5NoBVjQDDWDFrAMIqxHBvIOnOx2Gv2hY4VjIwpnDNLvLLkYV0ZAzP9KLcHCKnKWOdQ/rfjO5doAVzbASVhFj3sFzlrhnZu+ZDsNfPKyEiEqyTFXHuod175hcO8AKYAVfkAYNQAMGNKDD8ANWiocvHesOWCk/6ANWDBipsAod8y7/BseaV+6a63CagBXASjn3uA7N+h0vYAWwgqdqaAAaMKABHYZf9IFX8Wvg12GGvZ0OzfpdQ8CKASPl92ahXeU+JePe4N4UqwGThr/YseLz0LfQgEnNAlYAK3iqhgagAQMaMGn4AR+ADz8aMKlZwIoBI+VHJGgD4wINVJcGTBp+aKm6tFSu+2lSs4AVwAqeqqEBaMCABkwa/nI5N1ynuqDIpGYBKwaMFDZwdW1g3E/cTz8aMGn4/YwXbaBzk5o1CiuoYi++ih1rhjWDBqABaAAaMKUBU9BqFFaWVlYIL6wBNAANhFEDwtmEcd6Yc3D3e2gjKxBtcEWLe4d7Bw2UpgHASmnrB/2Vf/0AK4iw4AkLGoAGQqYBwEr5nS0Ap7Q1B6yEzEhhw5S2YbB+WL9q0ABgBToOmo4BK4AVPFVDA9BAyDQAWAGsAFYKP2GFAtuQGcigbQ6MFwa9WjUAWIG2g6ZtRFYADHiqhgaggZBpALACWAGsILICwx8ywx+0TY/xwlEBVqCBoNkBRFbgWAFX0AA0EDIN6IAVU18MVs3XDRpAlHO8gJWQGalyigvXwtMbNFCZGtAFK4QfbSug455U834DrABW8FQNDUADIdOADsco+sCPvhXQcU8AK4XXoRTz1f04DRQGAzm/AEcYhvuMOQZK5zocI2BFH6iInnTcE8AKYCW3IYrcoG3Huuidb+e0Gqyh1i7a3DqmtU8/Ys41jnj0Nr1/sptqeP6bj3XTvta7NOY4rtlRqjs2SH3zpYXCJ9t7afPJCE1qcYjzFGkfTY1RS5+lzc/PPUEbrHkpGtDhGAErgJVSNFhsW6SBSnZWC9TX0kX7TvZSTdOIVidY8bAyJWCkm94filtAtfgbfX6yi3Z88dAGrEd0rnGAuisKVsbo/WNDNFTyfYezLNbY4POVoxnAil7QyN3bKs0ff4+eLuX+lI57Us17DLBSqtOauk3vHOujtqkJaq7vpubIsrZISKXDSnz0NjV2TFBcWUMZBTk1SjP8t3hkiP5y/oHrfT+bSWtk5WGE9gFWtGnUz/1EG/PQosMxljWysnaD5vbXUuz4j7SW9PlRmnt9K83K1w6aPXyBns2rQCAgoZZm/9FEz1KNaKHZacP/3XOA5kbilOBmy1cO2H0p77/+IS2ILu98mPae/Xd+y9Xf/iZ6GnPGsErPrzRRbM82u+0B5b1McNFxT6p5bwFWSoSVmW/7aHPLXemQxy5/RzUt9zKcdw2nRoa+6KVXnVTJF6qDn6e77YO0u16kUbro5aZB+jw6L52JhJWWEWpr+Y5elm2/oyPfTiuOJkZ95/toh3yvi149OUTd9xeT74v2+9rHqMNuv/PyI+u9qTFqPtWt9Pmby3nFI7donz2eV0/eouaPC0xHzU7QGU4JvX/TGv/S4kIWUFmksd4hekeZc8e4Annjo3SkKbUeza1qGmiZZiIjVNdkpZ5q6nvpTMS+nr1m+9oneF2c9VbWjNN11jo6r1SEJR6N8DXVPu1oUbJPj3UsUTvVbFgwN/NAkuse6HCM5YSVteEmetwfpfj+FCQQCVhxfl+l5f4mhg/+3QGTtR9prn6AFr6spbk7KTgQcOH8vjbVSbFdtRSfUuBBgMnBTlpWeUL8rTnqGRpR+1v6moHHbivGPHuwnRbFONL78+hJxz2p5n0HWCnJ4fxG59ipHhmwi0iTUZaUoZJRgWO9dG7Udn7j4sm+m85Erc9MdnD6qHGI+mZtZ/1wgiJT1r8lrDQOUvdDC0DiQ4NcGzNAHbOi7QINnWfnyrUcY4vid3biQ0MMLn3UMWX1LdrX8O+fKwCzNP+AGhsFxNiAIlM3AjDsOTy8LceXTO3MPmQAyQcrMzL9IyBg3xcPZFQl96aZpu7Ltyki58zj7h1IpdAyxjfDsNWt1KyImpMR6rPXZCl6i3YrdTFyzsqaLd0f4fl8R+fu22PyiqxkzJlTRY299PnDHOuYd4751gDvV7NhrfS56XCMvmBFjVAwJMwNLxaQj1mlZ8etqMTzM28q4KHCiuhmkZ4eZhAZXpV9CliIXYkT/XJBgoaInogfFS6I4vT0YApe5AdKgBWKCfj5REZjVvrf42jPVXoh/pYFdNTJ67gnla67UsYHWCnF6YjC2vobFEn2YdWvqIW2mSkMy7HXyWJcUdPh/DvTeWWmgUS9BaeaRvmz83fpiOqE5Risvvd1zKRgJ61ANz4wwAA0QneVecu/2Z+7y9EhJ1LkCKvgdBRHVs6JmpViUz8KQHiNL3caSKyJGyzcRclz1HFKwJm1JksesOI1Z/E3p03B8y9FS2iL1FQZNaDDMfqCFcU7J5YG6PGeC/Q8L64wlOznCAV/LiFA4syvNnikw4oFIhJQJJQ4ERP+3F8vWOmcNFhZmWhnuHCnibLCSjLlJNJE7jSQFalZpUURWUmmqmYYnjg9tYtfH9yglTzz1HFPSoGBSm8LWPFtICwwSaUUlH8rhbbZYMVyhMLRdnFUw/sp2xtW7M9Lp5ty0l5g4eVkrUiPx7jtOhOvNkU565tD3H++AlaOpoh6l497kyksp40XmGT87eE9OtfSRzvtNJKIXKlRkPQTVDLawgCVDVbk/DzWZNu/JrJCX6VvbIwPkSuTaSBXHYeSAknEBhg8dir1H2pax9ubO4BihUu4diUJOLlgxQIUC4RE7cqf6ckvKVix6ly4lkTUmExYkZjkj4/IitUfvw6300JaIe3S13/n63DtzK7DqFnx7W9X5NHuYr4bRedng/09KzLlkwkLSyvuQtvcsOInsmLDis/IyhLDRE0Tp46yiCbyL0652DU4uSMrizIN9RenDsbpj1NVm13RpkynEecxbBOpmvG4VdOiRDtkDVBa5Me1hjaknRudobhMf+WLrLijTV6RFdl/jiPiRcFaCZsRgAHAKJcGdDzFFx9Z4TTNUY58fD1D/5VkkAkbXriy0OwUqDqFrw54pLcXKZ1tMk0kAccVCeG2HJFJj6x44pEPWJHXXOLalD18HZ6f+uOkriS05EgH6bgn5dKPiesAVnw6F+vUy22P+oxlEg7fKbTNDSvpNSvLFL9/l84NZEvjqJGYwmpWMp0ww1RjNx3ptdMiK4s0E71HfXZR75L8zhiGMKfO5f5t+l9OVXk689EbHBlR6nG4vkWkgXanA0zaGos6nc0fWyeGllbiXIMywP3Y0RgJgWrNzANqFsW2zves8AmjmsZbFJGgskiTXKezOz2ycpLTXPN2PUxaHY8FK3yceo7XemrOgiV5BFuZB9cDjd3komi1dqgCvu/GhIHANasToHQ4xuJhxaoPedwvIhmLtPD1YVc6xTuuwkDCaZp55TSPPLXz5WQa7HB/X/Lf7XSRAByndkX2K+pG3rJSSe6aFY+r+oQV0ZOsU3GltkRUh+ttphbp2Qd/ptmzYtzePzruSTXvV8CKL1jhiAg7UKvuxMOYcdGnKHRt40LXfLCytMIFo5cH2OFaqYgdp8SJHqvYNWcaSF437TSQcpLIu709VtdpoG7a/fEt6rMdsxiPPJ3knFw6P8YwkS3ysMywcCN5qqemnk/etD/Mf1R5TpwaUk8/3aXGZOrI6tM5jbS7JUJ3BxhQkl8KN00dH/OpK/skUPPQBNfppKWBeA2bXf2nTgstrUxTG5+EEu1fFVAjoYeLl5XTQOLL7d5pvU1351IFtpXw5XzVbIgwt/JCkQ7HWDyscELmDhe77uLow66dFDt7gR4rtR9eLjwhimOPDrjrPabaaVaCh3J0edebfKy5k57LFMyv9GRP+veaTFL8rb/JUz++YSVvzYq4Nl9nvxX5cR2FFvPluhXXCaO0Ceu4J9W8jwArvmClvIalmgWoe25I2UCbujVVjf3pcIx+YCVrWKFq32CgsiM6+aao455Uo1adOQFWACtVdQoDsAJYqWaDrWtuOhwjYCUffhT3vo57oksfldgPYAWwUlWwUombDGMCQFWaBnQ4RsBKcTCS79M67kml6UzneAArgBXACjQADYRMAzocI2AlH34U976Oe6ITDiqtL8BKyIxUpQkQ40HUARoovwZ0OEbASnEwku/TOu5JNe8lwApgBU/V0AA0EDIN6HCMog+89K5BNcNGqXMDrITMSJUqGLQv/1Mw1hxrrlsDOmBF95jQH3SeSwOAFcAKnqqhAWggZBoArAAMggaHgJWQGamgCRTjhVGFBvRrALCif02h0/VdU8AKYAVP1dAANBAyDQBW1texAlz0ry9gJWRGCptI/ybCmmJNg6YBwAo0G0TN6vw/KRfTl9H/6zKq2PVWsWM9sZ7QADQADUAD66mBYgBD52eNworOiaCvBGENsAbQQHA0YDKkDp0ERyeVdK9MahawkoBoK2kzYCzQY1g0YNLwh2WNMU+99sSkZgErgBVEZKABaMCABkwafjhxvU48LOtpUrOAFQNGKizCxjxhEKGB7BowafhxX7A3/WjApGYBK4AVPFVDA9CAAQ2YNPx+HBXaAHBMahawYsBIYdNj00MD0IBJww/9QX9+NGBSs4AVwAqeqqEBaMCABkwafj+OCm0AOCY1C1gxYKSw6bHpoQFowKThh/6gPz8aMKlZwApgBU/V0AA0YEADOgz/en75V1j79uPEw9JGh2b9rhVgxYCR8nuz0A5PQ9BA9WhAh+EXfeBH3wrouCfVvEdNrg9gBbCCp2poABowoAEdhh+wog9URE867glgZX0eKAArBoxU2cW8/ALOKAz3GXMMlM51OEbACmClnP5Eh2b9jrd6YGX0Jv3hWBe92/1Mq8GKnO2izWfHtfbp52blGkfsm2u0meeuvlpGbbqNR+mfx67T8HJptCuv8cFPFNPiEJco+k2UHmnpq7R5+bkXaIM116EBHYYfsAJY0aHFQvvQodlCr5X+uSqBlRc0/GkXvf3BNappimh1gkGAFTHGo9ezRU+m6VLj99RXUbAyTg3HhikCWDEOwX4NB9qVDmw6DD9gBbBSzr2oQ7N+x1sdsBK7Q+8e66eO2CS11F+lltE1bU6g8mHlCXV80EOXJryN54vRYfqfz/5DL0oEA62Rlemf6G3AijaN+t38aFc6cJSyhjoMf3lh5Vd68tdtFLsSzySEqXZ6vL+WYl/PJN9bvnKAZl/far321NLclUlaVVt6tCGK0pzT5vVtNHvwAj2bF43Uv9t98uecsbiuJdof7KRl0SzWSTGnv107KXb2V/cY0mai456UoolKb2tyfaoCVua7+2nzpz9Lh/zoqx6q+fS+yzkLR1tz9meK/PsabZXpkqv09r8nlc8s0YNvrtOeeiuV8krTdbo8tiSdiYSVTyPU8WkPvSLb9tDR7seKo3lKw5/10x/tNMzWD4apb+L35Pui/dvfjFO33f5PX01b78XGqeWjq0qfsy7n9WL0B3rbHs/WD36glk+ypaP+Q00Mat3xLIZ39UUWUPmdHvUP07vKnLsnFcibjNLRptR6tJxV00BrND8aoX82XaUanndN/TU6O2qtl7Nmb38zyevirLeyZpyus9bReaUiLC/GfuJrqn0+z7+OJUJYpRsHjM8sUKzn+usw/OWElZX+Bprr/5GevNVE80tuL7/09QF6cucGzTmQwG8LgHBg4r/zv1L8oBt0vNpYUPIhLcjuV2mR+53d306py8Xp6cGtNHfHfX31Wq53BKzYY0os/UhzDFvpbdXP67gn66kZ032bXJ8qgJVZusRONZkGSUZZUkbOqum4Rpfu2c5vUjzZX6WzY9ZnYlcYZhqHaThuO+vpSYrGrH9LWGm8Tn3TFoC8uHmda2O+t+HgBUU+Y+fKtRyPVkVf7MRvDjO4MDzEUo67hn+/rABMYpkBo1FAjA0oq7N0+YOr1BCxUznTd+T4Gm7a443/Rmc/yAIrPN+3BWDZzv+V+n5qufmkgKf2x9T31R2KyjnzuPu/T6XQMsb3hGHrqlKzImpOIjRsr0li7Afao9TFiDWrUdYsMRHhMSrRH6/ISsacOVXUeI0uT+dYR4BKAfe5ep29acNd6vV1GH5fsLLEEZKDO1NRDyVCkTWpssYQcbCdFgVCDDfR7JlfKZH88AzF/yEAY5GeHj1AT2PWG+kAkfjlAs2+ZfVB5N3GDStOZMSBF9HOP6yI1gvNqWiM11x13JNSdVHJ7U2uT/BhRRTW1t+kaNJxWfUraqFtZgrjCcNBF/1TFuOKmg7n35mGPTMNJOotONV0jz+7/DMdVZ2wHIPV99tXLGDwSiO9uP49A1CEHijOVv7NLuR9wNEhJ1KkRiu8C31/pxfx53b0ZI1eTFgglgSfQh26AhBe48udBhJr4gYL91ifUfdHAs5siPKAFa85i785bSolHVfJhgRjCxaY6TD8fmBloZkjHJyu+S9765WRD2m2foBWslJKCjzmhp0kjgCGFJTIVMvxG7RmA8rjqxaOZEQ7ZErGBo8sbdywskjPv+TIyvEfZd/WT3ZYSaac0tNAdmTlv/Mc+eF0VHwq+2R13JNq3ocm1yfgsGKBSfpJGPm7UmibDVYsRygcbRc7d29D5w0r9uel0005aS+w8HKyXqd35Jg/itJ8FsApxlnLyAbXqeTeNBxNuXeHmj65lkxhbbbrSLzAJONv0/fp0qf99Cc7jSQiV2oUJB2sXGPygBU5v7QTTeL3P1yazAp91WwUMLdggYef+6XD8OeCFRFFSDpwJT2TAStH88NKLpYRUPK43wIU4jqUWbu/XLCSrY2rNkXUmBzvpOeulJOPyIpaN9M/o0SEMmel45740UJQ2phcn2DDikz5ZMJCIuEutM0NK34iKzas+IysJCLDnHLh1FGWqEf0Eqdc7Bqc/JGVdKO+RsPs+B0nn20TvOAx/EGkaibtqIwCELIGKC3y41pDG9Iu3XtCL2T6K19kxR1tSnjAiuw/xxHxYmAtKBsf46x+IMl1j3UYfj+RlZWr79HsX+000P6mZNomT3Aly9sWPLiiGq+/R08ZMDLSQHc4iiOhKXubjDRQxlV9wIoNaqJGZnZXEz1LhWkyetdxT6p5X5tcn0DDinRwH92R0Qi3QNZIOHyn0DY3rKTXrIhUys906Xq2NI4aiSmsZiXTCTNMNV6lo/1ObcnvND92n4btot6E/M4YhjCnzmXiDh3mVJWXM38x+hNduvnYTgNxP7Jm5hp12LUe2TaOqNPZ/IkVyUkknnMNyvfczi52lRCo1sz8h1pEsa3zPSt8wqim8QeKSlD5nWJ8zT3pkZUPOM21bNfDpNXxWLDCx6kXeK1jz6yxx8T3wSh1RYkX9CjCRdFq7VAFfN9NNRsizK288KTD8BcPK8LZ/z1nKqQoaBHpnGQditVSRG5EykiFlbUYp2BEcatIJeVos56wQiROM21NRYE8JqrjnlTzPjK5PgGGFY6IsAO16k48jAwXfYpC1w4udM0HK4kEF4x+9T07XCsV8cePxIkeq9g1ZxpIXjftNJBykihbzYocr+s00FXa88kPNGw7ZjEeeTrJObn02TjDhFfkgZ395H3lVJEY+81U4WuuepWFSatoN3n66Wc+VeSczFljALmZPI2059Of6MF1BpTkl8I9pu5P+NSVfRKo5eYk1+mkpYF4DVtc/adOCyUSj6mDT0KJ9lsF1Ejo4eJl5TSQOLH17tk79GAhVWBbCV/OV82GCHMLA6wQPT/7pjsSwtGVebsotihQETUvVw/LYlv1Z00U4HINy/Pk0WU+gvzWYZobicsUTK42/JipnAbyGo3/mhXRmywOPnw1a42OSWcchP1ncn0CDCvlNSxBEFKljBEpG2izUrRYyePQYfiLjqys8fHdXUpxrEjJHM0dbSgWYIL8eR33pJI1V+rYTK4PYKXQ0zL4XMHHZAErgJVSjWIY2usw/EXDCh8cXjjD0ZBddp3JrjcpduZHehFkwtA4dh33pJq1a3J9ACuAkIIhpJo3IeYGwCq3BnQY/uJhRaNnr8KudNyTcuuonNczuT6AFcAKYAUagAYMaECH4Qes6CUmHfeknPBQ7muZXB/AigEjVW6B4XqIGkADlacBHYYfsAJYKefe1qFZv+MFrABW8FQNDUADBjSgw/CLPvDSuwZ+nWkY2unQrN91AqwYMFJ+bxbaVd7TMe4J7olfDZg0/H7HjHbh1rtJzQJWACt4qoYGoAEDGjBp+AEd4YYOv/ffpGYBKwaMlF+hoB0MDDRQPRowafiho+rRUTnvpUnNAlYAK3iqhgagAQMaMGn4y+ngcK3qASOTmgWsGDBS2LzVs3lxL3Ev/WrApOH3O2a0C7feTWrWKKygil1vFTvWE+sJDUAD0AA0sJ4aMAWsRmFlaWWF8MIaQAPQQBg1IBxKGOeNOQd3v4c2sgLRBle0uHe4d9BAaRoArJS2ftBf+dcPsIIIC56woAFoIGQaAKyU39kCcEpbc8BKyIwUNkxpGwbrh/WrBg0AVqDjoOkYsAJYwVM1NAANhEwDgBXACmCl8NNVKLANmYEM2ubAeGHQq1UDgBVoO2jaRmQFwICnamgAGgiZBgArgBXACiIrMPwhM/xB2/QYLxwVYAUaCJodQGQFjhVwBQ1AAyHTgA5YWc8v/6rmvoMGCZUyXsBKyIxUpQgP48CTHTRgTgO6YIXwU9QK6Fj3sO4bwApgBU/V0AA0EDIN6HCaog/8FLcCOtYdsFJ4rYmur+ev/tNA8wvmnECOa8ejD+junLmnuqrdbA8n6O4U1rVq728VAY0OpwlYKQ5UxKd1rHtY9xciK6UYoIcR2nesizYrr5fPT9iAMkHN9d/Rufvr47zi0dv0/sluqpHX7qZ9rXdpLDmXXNfm9xrFuJZ5nGP0Prd//2YJY5yboM97f3NB2WR7L20+GaHJUtZ2vdpOjVIdz/l/B+bkmPOO9eZQwXOZ+baPXm65S/H1Gjv6NQf/Vbb2OpwmYAWwUk5wAqyUYoSEI8vqnBaou2WdYEU63G56fyhuGe/F3+jzk12044uHtjHPfu34wCA71Hu2Q9UAK2INWseCAyvzD6i5qZeaI1bUSyesLK2sL6CW0zDgWiUAfCk2pUxtASvFg4aOFjrWPax7E7BSgnGY7OilnZcfeT/tPbxN75y6vS7RhfjobWrsmHA9wUune2qUZsR8sl57jjpOiUiKiKoIY1w6rMjrBglW0u63XlhZobuXv8uuiRK0FlYDhXmvDzTpcJp+IisLzVtp7o4Pt792g+b211Ls+I+0lmwepbnXt9KsfO2g2cMX6Nm82vcqzR+vpdl/NNGzVCMSY7Da8GvPAZobiVOCmy1fOZD6e7LfD2lBdHnnw7T37L/zW67+9jfR01j2+elY97DuCcBKCQ5k6HwX1X1rpRMyXwsUX8xiaKbGqPlUN72spnCSnxUA0Uuf3xylI00ixVNAdGZ2gs5wSuj9m/PJyIr3tUXfA9Q974zLhpUOHo+dUnq5aZA+jzr98OdyjFXMX02BOdAiAaDpFrV90UuvOnP8wg1XznoNtXbRvvYJ6jvvfPY7OvLttLKeMX6vj3bYqbZXTw5R9/3F5PvxyC16p94ax8tNA3QuYo99XKyflSarqe+l9wecPu31fWitgQUrt6i7fZB2O2M9P5aCzIw0kHs8u1tu05h6nyNDVHNyfSA1rEYK89YPLDqcZjlhZW24iR73Rym+PwUJRAJWnN9Xabm/ieGDf3fAZO1HmqsfoIUva12ApALT2lQnxXbVUnxKAQwBJgc7aVllDvG35qgnhaj9LX3NwJPeVmmlY93Duh8AK75hZYbaOPViAYdVN/LO+Xs0mQ1QnOtwGqKxUThop84jTn2t7FSdqIgd7Xj5VMTtBD3HOSPTP+L6+754YEVVcr1EjU39DYokP2PByo6PHYe7SGPsvGsa7c/kHavt7L0iKwxc50btNNW4qO3ppjPRzPEJWKlpHKTuhzaA3B/hzzqAtkBD53ltuP7FAoJlmhkaYnDpow5ZyMprqabDZh9xgauIGln3Zt9le43np+nuuANgHrDC12uO2GOd5ff5/iQh1AUr6eOx1msHzz9ZpyLrmIZoKN+9wPuoPzGoAR1O0x+sbKO5L9vp8Z5tNLtrJz2+MiOjGrl/VunZ8QMyYvH8zJsKeKiwInpYpKeHOXIzvCq7E4ATuxIn+uWCBA3nOu7oTpyeHkyL9pQAKxQT8POJFY3x+NGx7oAVnAYq3njOzdHMvJ1SmX8kwWGb6rg8jFF8YIA2N47QXfU96eB6qU06YB+pGY6snBM1K+cf5C7uFNdxFb56XGv+Lh1hAGgeXaH8Y80BK67rWFDlFYUSsOJOI1mpqn3tM7Qkx5IeWbL62tfB7688pDMC/C5P0IwLErmPj3k9uJ5ozLk/LkDjyJUrsuIuBhapnGRKTYUVr/HIv6lwItYUsBJWgxqUeetwmv5ghVMvB9vp+RJRYolTO7veo6f879w/DCX72xlFuI0AiTO/2uCRDitWSkYCikzPOBET/txfLyQBQoWVlYl2hgt3mkimfLwiK8nUkEghudNAVmprlRZFZMWVqnLPTMe6B0VjuseJyIrOpxvh2PI4Ku8aCRUafMCKmEMB114qBFYUWMo/1uJgRQJI2npnwsoKyWgLg5ccr0iJ2WChpo6SgDP1gD5vtdJEO07doD4ZWeH1mPuNur8YoN2cInrVldrySgO5YcU1bxVWPE5/WVE1jvTM2lGjqduIrOjcU+ir+IeoAtZMh9PMBSuuOg7F8bujGqKmhCMteWpYHECxwiUMOHsu0HP5Sy5YsQDF+py4zp/pyS8WOKTGxtEdUWMyYUVikj8+IivJGpjD7bSQA750rLtuCAhKf4CVAjZ2wTdzaJA2u9IsmWmP/NGKfLCyKFMjf0kv7C3g2kuz4hRRehQg7eiy/IwVzcg/1vWAFSVykjeyoq7vAhe3KkXGyfu6SDN8Ampb8r7kh5XIv7pTp7xcaSC77XiOdBunsXY2cdpKp67Q17o47IL3dRWuvw6n6TeykoITTtsc/Zu7XsQjxLLQzFDhimo44JEOKyKlY8GPBBxXG46GcETGgZWcgOQDVuQ1l7hGZg9f5+uZrIEiHeseVt0CVvwaIvH9IpfvpdIMs/dkrYOVnsjhzPLWgeSDFe579AZHEpSakNmHMg20O9vJpOR4HtE5+R0r7gLbfXzk2ap3setnnALRvGO1YeVj8d0iCzQ5a9WFZEZkbADJFlk5yWkxma5Jr0nJV7MyTX29TgqI60cYVmrksex5ivQ690b0ybDSNGIDhAescBFeR7JmxqqvabSPNsuIVTKltUwCZER6KVmbxHUyfUMPk+k38V0rNWk1PGE1Lpi3/sJYXWuqw2n6hpURy5evTPw/iiWjH9n8OwMJp2nmldM88tTOl5NpkZVFLqTlv9vpIgE4Tu2K7FnUkrxlpZLynkjyCStyTv3vcZGvE9HJnJOOddelgaD1A1jxCytctKmeUnm5vo+ah/KAinOttBM2u1siyjfKFgAr7NQnh24kT8HU8JfPHWlPOcxcIhTOdrdTeCpTPr105ttbXHhrFeruOHWLIuq32+YcKxvj8dtUJ9vyF9NdtsZQNKycGuLTSM6JnrTTSCtpp4FcKR33e6mxz9NdcbrHnpNIA3WMq8e102pWWiPUwd+JI4ql5Vqqp5HynAZ6lU8gnRmK2YA6R21cb3NkwOA3F/vVM9qFKnqjw2n6gZXnX/6dC2vtY8N5jvkKV58QxbFHB2hF9ftT7TQrwUM5urzrTT7W3ClrYYh+pSd70mthJin+lhXF8Q0reWtWxLX5OvtTKad0XNGx7kGDDF3jBayEzUjLE0GcCkoeXzb79OdVs6JL3GXvh1NAu52TVGHTFeYbKNjR4TT9wErW/EhI3tCx7mW3axWytwErFXIjyidATmXw9580R1LfVVK+a3sfXU7/UjmT4ynl2uIU0ZEB5TtqQqcts+Bbyr0LW1sdThOwUjxh6Vj3sGnVmS9gBQ4lUE+EYd2omDdASKcGdDhNwApgRacm8/UFWAGsAFagAWggZBoArBQPGjpa6Fj3fE69Wt8HrITMSFWrkDEvRB6ggcI1oMNpIrJSPL7oWPew6hywAljBUzU0AA2ETAM6nKboA6/i1yCssFHqvAErITNSpQoG7Qt/esVaYa0qVQM6YKVS54ZxVee+A6wAVvBUDQ1AAyHTAGClOh16NYMaYCVkRqqaxYy5wQBDA4VpALBS2DpBT5WzToAVwAqeqqEBaCBkGgCsVI4TBhAVdi8AKyEzUtgYhW0MrBPWqZo1AFiBvoOm79DCCqrYi69ix5phzaABaAAagAZMaSCRSJCJ1wYTF8U1zdxsrDvWHRqABqABaCCIGgCsGKLEIIoFY4aRgwagAWgAGjChAcAKYMVISM+E2HFNGFloABqABoKpAcAKYAWwAg1AA9AANAANVLQGACsQaEULFE9BwXwKwn3DfYMGoAGdGgCsAFYAK9AANAANQAPQQEVrALACgVa0QHWSOfrCkx40AA1AA8HUAGAFsAJYgQagAWgAGoAGKloDgBUItKIFiqegYD4F4b7hvkED0IBODQBWACuAFWgAGoAGoAFooKI1AFiBQCtaoDrJHH3hSQ8agAaggWBqALACWAGsQAPQADQADUADFa0BwAoEWtECxVNQMJ+CcN9w36ABaECnBgArgBXACjQADUAD0AA0UNEaAKxAoBUtUJ1kjr7wpAcNQAPQQDA1AFgBrABWoAFoABqABqCBitYAYAUCrWiB4ikomE9BuG+4b9AANKBTA4AVwApgBRqABqABaAAaqGgN/H9OQwDYZQ4fQAAAAABJRU5ErkJggg==" alt="" />
3) 去除barcode 序列或者兼并引物的序列
cutadapt 允许采用IUPAC 的碱基字符表
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" 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" alt="" /> 
 
字母N代表任意碱基, 在去除barcode 序列是非常有用, 比如 ACGTANNNNNTAC 其中NNNN 代表barcode 序列, 又叫做index 序列
 
cutadapt -a ACGTAANNNNTTAGC -o output.fastq input.fastq
 
兼并引物序列:YACGT; 就是说可能为 CACGT 或者 TACGT
 
cutadapt -a YACGT -o output.fastq input.fastq
 
 
5) 去除双端测序数据的adapter 序列
用法:
cutadapt -a ADAPTER_FWD -A ADAPTER_REV -o out.1.fastq -p out.2.fastq reads.1.fastq reads.2.fastq
 
备注:
cutadapt 在搜寻引物时, 默认允许错配和插入缺失, 比如
adapter 序列是ADAPTER, 此时
ADABTER    有一个错配,也会被剪切掉
ADAPTR      有一个缺失,deletion ,也会被剪切掉
ADAPPTER  有一个插入,也会被剪切掉
 
可以采用-e  指定错配的比例, 默认-e 为0.1, 比如adapter  序列长度为9,允许的错配数为 9 * 0.1 = 0.9, 然后直接向下取整后为0, 所以允许的错配数为0;
 
可以采用-no-indels 来禁止插入和缺失,减少错误的剪切情况
因为cutadapt  允许部分匹配,比如 adapter 序列为ADAPTER , 测序得到的 序列为ATCGATGCTADCGAGCGC,在序列的中间位置AD是adapter 序列的一部分, 此时会把AD以及之后的序列全部剪切掉,这种情况就属于错误的剪切,所以cutadapt 默认必须至少有3个碱基匹配时才会认为是adapter 序列,然后进行切除, 这个参数可以通过 --overlap  参数来指定默认的3适合绝大多数的情况
 
6) 去除低质量序列
使用-q/--trim-qualities 过滤低质量序列, 在去除adapter序列之前就开始过滤低质量序列;默认使用phred quality+33 的方式识别序列质量,如果为phred quality+64的方式,则添加--quality-base=64 参数
用法:
cutadapt -q 10 -o output.fastq input.fastq
 
默认只过滤3端的低质量序列, 如果想要过滤5端低质量序列,需要用逗号隔开
cutadapt -q 15,10 -o output.fastq input.fastq
 5端用15进行过滤,3端用10进行过滤
 
质量过滤的算法
cutadapt 使用的质量过滤的算法和bwa 一致,假设一段序列质量编码为
42, 40, 26, 27, 8, 7, 11, 4, 2, 3
 
质量过滤的阈值为10,则首先减去10
32, 30, 16, 17, -2, -3, 1, -6, -8, -7
 
从末端开始累加,
(70), (38), 8, -8, -25, -23, -20, -21, -15, -7
 
因为-25 最小,所以保留-25 之前的碱基, 即保留前4位碱基
 
7) 去除polyA 尾的序列
当adapter 序列中包含重复序列时,推荐使用A{10}这种写法, 代表10个A,所以可以用来去除序列末端的polyA尾,用法:
cutadapt -a "A{10}" -o output.fastq input.fastq
注意的是,当序列末尾出现10个或者10个以上的A时,都会被去除
input.fastq 的内容:
@NB001
AACCGGTTATCATATCGATCTAGCCAAAAAAAAAA
+
///////////////////////////////////
@NB002
AACCGGTTATCATATCGATCTAGCCAAAAAAAAAAAAAA
+
///////////////////////////////////////

output.fastq的内容:

@NB001
AACCGGTTATCATATCGATCTAGCC
+
/////////////////////////
@NB002
AACCGGTTATCATATCGATCTAGCC
+
/////////////////////////

可以看到,序列末尾的polyA尾全部被去除了

8) 从序列两端切除固定长度的序列

cutadapt 还可以在序列的3端和5端切除固定长度的序列,使用-u/--cut 参数, 当值为正数时,从序列开头切除, 当值为负数时,从序列末端开始切除
从序列开头切除5bp,用法:
cutadapt -u 5 -o output.fastq  input.fastq
input.fastq 的内容:
@NB001
ATGCATGCTAGC
+
////////////

output.fastq的内容:

@NB001
TGCTAGC
+
///////

从序列末端切除5bp,用法:

cutadapt -u -5 -o output.fastq  input.fastq
 
 input.fastq 的内容:
@NB001
ATGCATGCTAGC
+
////////////

output.fastq的内容:

@NB001
ATGCATG
+
///////
9) cutadapt 的其他参数
--length_tag 在输出文件中给出 序列的length 信息
>read1 length=10
ACGTACGTAC
 
filter  reads
-m N/ --minimum-length N      去除序列长度低于N的read
--too-short-output  file           将序列长度低于N的read 输出到文件中
-M N/ --maximum-length N      去除长度大于N的read
--too-long-output  file             将序列长度大于N的read 输出到文件中
--discard-trimmed                   去除出现adapter 序列的read
--untrimed-output                  将没有进行出现过adapter 的序列单独输出到一个文件中
--discard-untrimmed               去除没有出现过adapter序列的read
 
cutadapt 的处理顺序:
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*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" 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