蛇形 - 缺少所有规则的输入文件

如何解决蛇形 - 缺少所有规则的输入文件

我正在尝试创建一个管道,该管道将在 config.yml 中采用用户配置的目录(他们从 BaseSpace 下载了 .fastq.gz 文件的项目目录),以在序列文件上运行 fastqc。我已经有了按通道合并 fastqs 并在合并文件上运行 fastqc 的下游步骤。

但是,通配符给我带来了在原始 basespace 文件上运行 fastqc 的问题。以下是我尝试运行 snakemake 时的错误。

Missing input files for rule all:
qc/fastqc_premerge/DEX-13_S9_L001_ngc1838-10_L001_ds.9fd1f6dff0df47ab821125aab07be69b_r1_fastqc.zip
qc/fastqc_premerge/BOMB-3-2-19D_S8_L002_ngc1838-8_L002_ds.b81c308d62ba447b8caf074ffb27917e_r1_fastqc.zip
qc/fastqc_premerge/DEX-13_S9_L002_ngc1838-10_L002_ds.6369bc71fac44f00931eecb9b0a45d59_r1_fastqc.zip

任何建议将不胜感激。以下是重现此问题的最少代码。

import glob

configfile: "config.yaml"

wildcard_constraints:
   bsdir = '\w+_L\d+_ds.\w+',lanenum = '\d+'

inputdirectory=config["directory"]
DIRECTORY,SAMPLES,LANENUMS = glob_wildcards(inputdirectory+"/{bsdir}/{sample}_L{lanenum}_R1_001.fastq.gz")
DIRECTORY,LANENUMS = glob_wildcards(inputdirectory+"/{bsdir}/{sample}_L{lanenum}_R2_001.fastq.gz")


##### target rules #####
rule all:
    input:
       #expand('qc/fastqc_premerge/{sample}_L{lanenum}_{bsdir}_r1_fastqc.zip',sample=SAMPLES,bsdir=DIRECTORY,lanenum=LANENUMS)
        expand('qc/fastqc_premerge/{sample}_L{lanenum}_{bsdir}_r1_fastqc.zip',zip,lanenum=LANENUMS)  ##Changed to this from commenters suggestion,however,snakemake still wont run


rule fastqc_premerge_r1:
    input:
        f"{config['directory']}/{{bsdir}}/{{sample}}_L{{lanenum}}_R1_001.fastq.gz"
    output:
        html="qc/fastqc_premerge/{sample}_L{lanenum}_{bsdir}_r1.html",zip="qc/fastqc_premerge/{sample}_L{lanenum}_{bsdir}_r1_fastqc.zip" # the suffix _fastqc.zip is necessary for multiqc to find the file. If not using multiqc,you are free to choose an arbitrary filename
    params: ""
    log:
        "logs/fastqc_premerge/{sample}_L{lanenum}_{bsdir}_r1.log"
    threads: 1
    wrapper:
        "v0.69.0/bio/fastqc"

目录结构:

ngc1838-10_L001_ds.9fd1f6dff0df47ab821125aab07be69b/DEX-13_S9_L001_R1_001.fastq.gz
ngc1838-10_L001_ds.9fd1f6dff0df47ab821125aab07be69b/DEX-13_S9_L001_R2_001.fastq.gz
ngc1838-10_L002_ds.6369bc71fac44f00931eecb9b0a45d59/DEX-13_S9_L002_R1_001.fastq.gz
ngc1838-10_L002_ds.6369bc71fac44f00931eecb9b0a45d59/DEX-13_S9_L002_R2_001.fastq.gz
ngc1838-8_L002_ds.b81c308d62ba447b8caf074ffb27917e/BOMB-3-2-19D_S8_L002_R1_001.fastq.gz
ngc1838-8_L002_ds.b81c308d62ba447b8caf074ffb27917e/BOMB-3-2-19D_S8_L002_R2_001.fastq.gz

在上面的例子中,我想在所有 6 个输入 R1/R2 文件上运行 fastqc,然后在下游,为 DEX_13_S9(用于合并两个输入)和 BOMB-3_2_19D(这将是一个副本)创建一个合并文件1 个输入)。然后针对这些生成的 R1 和 R2 文件创建 4 个 fastqc 报告。

编辑:我必须更改以下内容才能运行snakemake

inputdirectory=config["directory"]
PROJECTDIR,RANDOMINT,LANENUM1,BSSTRINGS,LANENUMS = glob_wildcards(inputdirectory+"/{proj}-{randint}_L{lanenum1}_ds.{bsstring}/{sample}_L{lanenum}_R1_001.fastq.gz",followlinks=True)
PROJECTDIR,LANENUMS = glob_wildcards(inputdirectory+"/{proj}-{randint}_L{lanenum1}_ds.{bsstring}/{sample}_L{lanenum}_R2_001.fastq.gz",followlinks=True)


##### target rules #####
rule all:
    input:
       "qc/multiqc_report_premerge.html"




rule fastqc_premerge_r1:
    input:
        f"{config['directory']}/{{proj}}-{{randint}}_L{{lanenum1}}_ds.{{bsstring}}/{{sample}}_L{{lanenum}}_R1_001.fastq.gz"
    output:
        html="qc/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r1.html",zip="qc/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r1_fastqc.zip" # the suffix _fastqc.zip is necessary for multiqc
    params: ""
    log:
        "logs/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r1.log"
    threads: 1
    wrapper:
        "v0.69.0/bio/fastqc"

rule fastqc_premerge_r2:
    input:
        f"{config['directory']}/{{proj}}-{{randint}}_L{{lanenum1}}_ds.{{bsstring}}/{{sample}}_L{{lanenum}}_R2_001.fastq.gz"
    output:
        html="qc/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r2.html",zip="qc/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r2_fastqc.zip" # the suffix _fastqc.zip is necessary for multiqc
    params: ""
    log:
        "logs/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r2.log"
    threads: 1
    wrapper:
        "v0.69.0/bio/fastqc"

rule multiqc_pre:
    input:
        expand("qc/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r1_fastqc.zip",lanenum=LANENUMS,proj=PROJECTDIR,randint=RANDOMINT,lanenum1=LANENUM1,bsstring=BSSTRINGS),expand("qc/fastqc_premerge/{sample}_L{lanenum}_{proj}-{randint}_L{lanenum1}_ds.{bsstring}_r2_fastqc.zip",bsstring=BSSTRINGS)
    output:
        "qc/multiqc_report_premerge.html"
    log:
        "logs/multiqc_premerge.log"
    wrapper:
        "0.62.0/bio/multiqc"

解决方法

它会告诉您缺少哪些文件;这就是“缺少所有规则的输入文件”下的行。

话虽如此,为了回答您的原始问题,如果您进行试运行,那应该会告诉您要在您的文件中运行的每个计划规则的输入/输出文件是什么(使用标志 -n -r)运行命令。

,

在您的 FrameObserverView 中,您有:

rule all

这应该生成 SAMPLES、DIRECTORY 和 LANENUMS 的所有组合。这是你想要的吗?我怀疑不是,因为这意味着所有样本都在所有目录中并且它们在所有通道上。也许您希望 expand('qc/fastqc_premerge/{sample}_L{lanenum}_{bsdir}_r1_fastqc.zip',sample=SAMPLES,bsdir=DIRECTORY,lanenum=LANENUMS) 函数扩展列表:

zip

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res