Conda工具使用

Published at 2020-05-03 11:37

Author:zhixy

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anaconda

简介

Conda 是一个开源的软件包管理系统和环境管理系统,用于安装多个版本的软件包及其依赖关系,并在它们之间轻松切换。 Conda 是为 Python 程序创建的,适用于 Linux,OS X 和Windows,也可以打包和分发其他软件。

Conda分为anaconda和miniconda。anaconda是包含一些常用包的版本(这里的常用不代表你常用 微笑.jpg), miniconda则是精简版,所以推荐使用miniconda

miniconda

利用conda安装生物信息软件

通过conda search可查询软件源中是否有需要的相关软件,-c 追加搜索的软件源通道。生物信息学相关软件多数可在bioconda中找到。

(base) [user@server ~]# conda search -c bioconda iqtree
Loading channels: done
# Name                       Version           Build  Channel             
iqtree                         1.5.3               0  bioconda            
iqtree                         1.5.3               1  bioconda            
iqtree                         1.5.3      he941832_2  bioconda            
iqtree                         1.5.5               0  bioconda            
iqtree                         1.5.5               1  bioconda            
iqtree                         1.5.5      he941832_2  bioconda            
iqtree                         1.6.6      he941832_0  bioconda            
iqtree                         1.6.7      he941832_0  bioconda            
iqtree                         1.6.7      he941832_1  bioconda            
iqtree                         1.6.7.1      he941832_0  bioconda            
iqtree                         1.6.7.2      he941832_0  bioconda            
iqtree                         1.6.8      he941832_0  bioconda            
iqtree                         1.6.9      he860b03_1  bioconda            
iqtree                         1.6.9      he941832_0  bioconda            
iqtree                         1.6.10      he860b03_0  bioconda            
iqtree                         1.6.11      he860b03_0  bioconda            
iqtree                         1.6.11.1      he513fc3_0  bioconda            
iqtree                         1.6.12      he513fc3_0  bioconda            
iqtree                         1.6.12      he513fc3_1  bioconda            
iqtree                         2.0.3      h176a8bc_0  bioconda   

search改为install即可安装:

(base) [user@inspur ~]# conda install -c bioconda iqtree

创建conda虚拟环境

Conda默认的基本环境base,依赖的python版本是3.7(或其他)。有时目标软件依赖的python版本是2.7, Conda通过创建虚拟环境来解决版本依赖问题。首先通过一下命令可查看系统中已存在的虚拟环境:

(base) [user@server ~]# conda env list
# conda environments:
#
base                  *  /opt/miniconda3
iqtree1.6.8              /opt/miniconda3/envs/iqtree1.6.8
metawrap-env        /opt/miniconda3/envs/metawrap-env
orthofinder             /opt/miniconda3/envs/orthofinder
qiime2                  /opt/miniconda3/envs/qiime2

通过conda create可创建一个环境:

(base) [user@server ~]# conda create -n python2 python=2.7
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/user/.conda/envs/python2

  added / updated specs:
    - python=2.7


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _libgcc_mutex-0.1          |             main           3 KB
    ca-certificates-2020.1.1   |                0         125 KB
    certifi-2019.11.28         |           py27_0         153 KB
    libffi-3.3                 |       he6710b0_1          50 KB
    ncurses-6.2                |       he6710b0_1         817 KB
    python-2.7.18              |       h15b4118_1         9.9 MB
    readline-8.0               |       h7b6447c_0         356 KB
    setuptools-44.0.0          |           py27_0         512 KB
    sqlite-3.31.1              |       h62c20be_1         2.0 MB
    ------------------------------------------------------------
                                           Total:        13.8 MB

The following NEW packages will be INSTALLED:

  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  ca-certificates    pkgs/main/linux-64::ca-certificates-2020.1.1-0
  certifi            pkgs/main/linux-64::certifi-2019.11.28-py27_0
  libedit            pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0
  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_1
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  ncurses            pkgs/main/linux-64::ncurses-6.2-he6710b0_1
  pip                pkgs/main/linux-64::pip-19.3.1-py27_0
  python             pkgs/main/linux-64::python-2.7.18-h15b4118_1
  readline           pkgs/main/linux-64::readline-8.0-h7b6447c_0
  setuptools         pkgs/main/linux-64::setuptools-44.0.0-py27_0
  sqlite             pkgs/main/linux-64::sqlite-3.31.1-h62c20be_1
  tk                 pkgs/main/linux-64::tk-8.6.8-hbc83047_0
  wheel              pkgs/main/linux-64::wheel-0.33.6-py27_0
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3


Proceed ([y]/n)? 

安装过程中需要确认安装该环境需要的软件包,另外-n定义了环境的名称。

进入虚拟环境

安装完成后,通过以下命令进入虚拟环境:

(base) [user@server ~]# conda activate python2
(python2) [user@server ~]# 

退出虚拟环境

(python2) [user@server ~]# conda deactivate

删除环境

(base) [user@server ~]# conda remove -n python2 --all