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docker.io/chigenelaby/mlexoncnv:1.0.0 linux/amd64

docker.io/chigenelaby/mlexoncnv:1.0.0 - 国内下载镜像源 浏览次数:10

该镜像可能提供基于机器学习技术进行外显子水平拷贝数变异(CNV)分析的相关工具或运行环境,适用于生物信息学领域中基因拷贝数变异检测的相关研究或应用场景。

源镜像 docker.io/chigenelaby/mlexoncnv:1.0.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0
镜像ID sha256:e866bf9079a06ef3e33c7006c2c607a60fa25cc7fe3c6e68b0ce804ce056ee9f
镜像TAG 1.0.0
大小 13.03GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /workspace/ML-exon
OS/平台 linux/amd64
浏览量 10 次
贡献者
镜像创建 2026-01-19T06:47:32.052424267Z
同步时间 2026-04-01 01:48
环境变量
PATH=/opt/conda/envs/py37/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 LC_ALL=C.UTF-8 CONDA_DEFAULT_ENV=py37
镜像标签
Anaconda, Inc: maintainer 2024-08-23T14:45:17.835Z: org.opencontainers.image.created Repository of Docker images created by Anaconda: org.opencontainers.image.description : org.opencontainers.image.licenses 4c4d24b1711876925328ef3c3c5634a3ab307dc3: org.opencontainers.image.revision https://github.com/anaconda/docker-images: org.opencontainers.image.source docker-images: org.opencontainers.image.title https://github.com/anaconda/docker-images: org.opencontainers.image.url 24.7.1-0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0  docker.io/chigenelaby/mlexoncnv:1.0.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0  docker.io/chigenelaby/mlexoncnv:1.0.0

Shell快速替换命令

sed -i 's#chigenelaby/mlexoncnv:1.0.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0  docker.io/chigenelaby/mlexoncnv:1.0.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/chigenelaby/mlexoncnv:1.0.0  docker.io/chigenelaby/mlexoncnv:1.0.0'

镜像构建历史


# 2026-01-19 14:47:32  405.26MB 
/bin/bash
                        
# 2025-09-05 16:51:42  30.39KB 
/bin/sh -c chmod +x ./ML-ExonCNV.py # 确保程序有执行权限
                        
# 2025-09-05 16:51:41  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace/ML-exon
                        
# 2025-09-05 16:51:28  2.54GB 
/bin/sh -c #(nop) COPY dir:303a2136698e5b77d357c0ac637a58298f633ac825144912ff4ec7f49089605f in /workspace/ML-exon 
                        
# 2025-09-05 10:49:06  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-09-05 10:49:05  0.00B 
/bin/sh -c apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* ~/.cache/pip /workspace/pkgs/*
                        
# 2025-09-05 09:55:32  4.58GB 
/bin/sh -c mkdir -p /workspace/sklearn &&     tar -xzvf /tmp/sklearn.tar.gz -C /workspace/sklearn &&     rm /tmp/sklearn.tar.gz
                        
# 2025-09-05 09:52:56  1.44GB 
/bin/sh -c #(nop) COPY file:66ba46bc72f59add2d97876cd5088e694ae45f1ff70ad2afcf91b84442d8708b in /tmp/ 
                        
# 2025-09-05 09:52:38  36.59MB 
/bin/sh -c cd /workspace/pkgs &&     chmod +x install.sh &&     ./install.sh
                        
# 2025-09-05 09:52:14  12.68MB 
/bin/sh -c #(nop) COPY dir:589186d815065e43c80c8fc153591e2465afbec2cb95aab2ec47c1473af878eb in /workspace/pkgs 
                        
# 2025-09-02 11:23:33  23.57MB 
/bin/sh -c apt-get update && apt-get install -y samtools
                        
# 2025-09-02 11:17:06  1.42GB 
/bin/sh -c conda install -n py37 -c bioconda pybedtools=0.8.1 -y
                        
# 2025-09-02 11:15:44  361.35MB 
/bin/sh -c conda install -n py37 -c bioconda bedtools -y
                        
# 2025-09-02 11:15:10  45.45KB 
/bin/sh -c R -e "install.packages('RhpcBLASctl', repos='https://cloud.r-project.org/')"
                        
# 2025-09-02 11:14:56  274.44MB 
/bin/sh -c pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple  -r /tmp/requirements.txt
                        
# 2025-09-02 11:13:54  29.00B 
/bin/sh -c #(nop) COPY file:fe7170338341316426b9e9be1abe3060a39212b06d719a2a6c5957080bb4ee46 in /tmp/requirements.txt 
                        
# 2025-08-27 18:11:18  222.52MB 
/bin/sh -c conda install -n py37 -c bioconda mosdepth -y
                        
# 2025-08-27 18:10:57  526.40MB 
/bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends     r-base     r-base-dev     && rm -rf /var/lib/apt/lists/*
                        
# 2025-08-26 11:06:01  0.00B 
/bin/sh -c #(nop)  ENV PATH=/opt/conda/envs/py37/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-08-26 11:06:01  0.00B 
/bin/sh -c #(nop)  ENV CONDA_DEFAULT_ENV=py37
                        
# 2025-08-26 11:05:59  534.62MB 
/bin/sh -c conda create -n py37 python=3.7  -y &&     conda create -n py27 python=2.7 -y &&     echo "source /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc &&     echo "conda activate py37" >> ~/.bashrc &&     ln -sf $(which python3) $(conda info --base)/envs/py37/bin/python &&     ln -sf $(which python2) $(conda info --base)/envs/py37/bin/python2
                        
# 2025-08-26 10:48:53  43.83MB 
/bin/sh -c apt-get update && apt-get install -y less vim gawk procps coreutils sed grep  && rm -rf /var/lib/apt/lists/*
                        
# 2025-08-15 17:05:59  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace
                        
# 2024-08-23 22:45:54  359.78MB 执行命令并创建新的镜像层
RUN |6 INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-x86_64.sh SHA256SUM_LINUX64=33442cd3813df33dcbb4a932b938ee95398be98344dff4c30f7e757cd2110e4f INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-s390x.sh SHA256SUM_S390X=5a454c59314f63a0b860e2ed27d68f4a2516c77a7beda919fc11d3cd03c6b2d2 INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-aarch64.sh SHA256SUM_AARCH64=bdace1e233cda30ce37105de627e646ae8e04b036373eacfcd7fa8e35949f1b7 /bin/sh -c set -x &&     UNAME_M="$(uname -m)" &&     if [ "${UNAME_M}" = "x86_64" ]; then         INSTALLER_URL="${INSTALLER_URL_LINUX64}";         SHA256SUM="${SHA256SUM_LINUX64}";     elif [ "${UNAME_M}" = "s390x" ]; then         INSTALLER_URL="${INSTALLER_URL_S390X}";         SHA256SUM="${SHA256SUM_S390X}";     elif [ "${UNAME_M}" = "aarch64" ]; then         INSTALLER_URL="${INSTALLER_URL_AARCH64}";         SHA256SUM="${SHA256SUM_AARCH64}";     fi &&     wget "${INSTALLER_URL}" -O miniconda.sh -q &&     echo "${SHA256SUM} miniconda.sh" > shasum &&     sha256sum --check --status shasum &&     mkdir -p /opt &&     bash miniconda.sh -b -p /opt/conda &&     rm miniconda.sh shasum &&     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh &&     echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc &&     echo "conda activate base" >> ~/.bashrc &&     find /opt/conda/ -follow -type f -name '*.a' -delete &&     find /opt/conda/ -follow -type f -name '*.js.map' -delete &&     /opt/conda/bin/conda clean -afy # buildkit
                        
# 2024-08-23 22:45:39  0.00B 定义构建参数
ARG SHA256SUM_AARCH64=bdace1e233cda30ce37105de627e646ae8e04b036373eacfcd7fa8e35949f1b7
                        
# 2024-08-23 22:45:39  0.00B 定义构建参数
ARG INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-aarch64.sh
                        
# 2024-08-23 22:45:39  0.00B 定义构建参数
ARG SHA256SUM_S390X=5a454c59314f63a0b860e2ed27d68f4a2516c77a7beda919fc11d3cd03c6b2d2
                        
# 2024-08-23 22:45:39  0.00B 定义构建参数
ARG INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-s390x.sh
                        
# 2024-08-23 22:45:39  0.00B 定义构建参数
ARG SHA256SUM_LINUX64=33442cd3813df33dcbb4a932b938ee95398be98344dff4c30f7e757cd2110e4f
                        
# 2024-08-23 22:45:39  0.00B 定义构建参数
ARG INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-x86_64.sh
                        
# 2024-08-23 22:45:39  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2024-08-23 22:45:39  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-08-23 22:45:39  176.26MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -q &&     apt-get install -q -y --no-install-recommends         bzip2         ca-certificates         git         libglib2.0-0         libsm6         libxext6         libxrender1         mercurial         openssh-client         procps         subversion         wget     && apt-get clean     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-23 22:45:39  0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
                        
# 2024-08-23 22:45:39  0.00B 添加元数据标签
LABEL maintainer=Anaconda, Inc
                        
# 2024-08-13 08:20:20  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2024-08-13 08:20:20  74.78MB 
/bin/sh -c #(nop) ADD file:3d9897cfe027ecc7cbdb16e74a676ed143725ea2d08dbb0dde23309e041de0f3 in / 
                        
                    

镜像信息

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    "Created": "2026-01-19T06:47:32.052424267Z",
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    "DockerVersion": "20.10.10",
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        "Tty": true,
        "OpenStdin": true,
        "StdinOnce": false,
        "Env": [
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}

更多版本

docker.io/chigenelaby/mlexoncnv:1.0.0

linux/amd64 docker.io13.03GB2026-04-01 01:48
9