• vcontact2:病毒聚类(失败)


    Bitbucket

    安装 

    1. mamba create --name vContact2 biopython=1.78
    2. mamba install -c bioconda vcontact2=0.11.3
    3. vim ~/envs/vContact2/lib/python3.9/site-packages/vcontact2/exports/summaries.py
    4. 把 np.warnings.filterwarnings('ignore')
    5. 改成
    6. import warnings
    7. warnings.filterwarnings('ignore')
    8. ## 下载聚类软件,移动到conda/bin路径
    9. wget -c http://www.paccanarolab.org/static_content/clusterone/cluster_one-1.0.jar
    10. ## 下载MCL
    11. mamba install -c bioconda mcl

    使用

    1. #使用自带函数构建[gene-to-genome mapping file]
    2. vcontact2_gene2genome -p (faa文件) -o (输出文件) -s Prodigal-FAA
    3. #正式运行
    4. 运行失败报错
    5. ----------------------------------Loading data----------------------------------
    6. INFO:vcontact2: Read 422588 entries (dropped 3534 singletons) from fetal_vc2/vConTACT_profiles.csv
    7. Traceback (most recent call last):
    8. File "/home/zhongpei/mambaforge/envs/vContact2/bin/vcontact2", line 834, in
    9. main(options)
    10. File "/home/zhongpei/mambaforge/envs/vContact2/bin/vcontact2", line 602, in main
    11. matrix, singletons = vcontact2.pcprofiles.build_pc_matrices(profiles, contigs_csv_df, pcs_csv_df)
    12. File "/home/zhongpei/mambaforge/envs/vContact2/lib/python3.9/site-packages/vcontact2/pcprofiles.py", line 358, in build_pc_matrices
    13. matrix = sparse.coo_matrix(([1]*len(profiles), (zip(*profiles.values))), shape=(len(contigs), len(pcs)),
    14. File "/home/zhongpei/mambaforge/envs/vContact2/lib/python3.9/site-packages/scipy/sparse/_coo.py", line 99, in __init__
    15. self._check()
    16. File "/home/zhongpei/mambaforge/envs/vContact2/lib/python3.9/site-packages/scipy/sparse/_coo.py", line 188, in _check
    17. raise ValueError('mismatching number of index arrays for shape; '
    18. ValueError: mismatching number of index arrays for shape; got 0, expected 2
    19. 算了不用它了

  • 相关阅读:
    docker
    免费文字转语音软件有哪些?这几款宝藏工具你值得拥有
    防御塔攻击小兵,C++观察者模式
    vue3+ts+uniapp实现小程序端input获取焦点计算上推页面距离
    马铃薯甲虫的成虫和幼虫数据集(YOLO检测)
    搜题题库接口使用方法
    盒子阴影(重点)
    python爬虫思维
    2310D导入c部分可用
    DHorse v1.4.2 发布,基于 k8s 的发布平台
  • 原文地址:https://blog.csdn.net/m0_53945548/article/details/136673619