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  • HTSeq - NameError: name 're' is not defined

    I'm trying to use HTSeq but getting "NameError: name 're' is not defined" after import HTSeq command. As I'm a novice, I don't know how to resolve the issue. It would be nice if someone could help me in getting through.
    >>> import HTSeq

    Traceback (most recent call last):
    File "<pyshell#11>", line 1, in <module>
    import HTSeq
    File "C:\Python27\lib\site-packages\HTSeq\__init__.py", line 144, in <module>
    _re_attr_main = re.compile( "\s*([^\s\=]+)[\s=]+(.*)" )
    NameError: name 're' is not defined

  • #2
    Does this work for you?

    Code:
    import re
    Did you follow the installation instructions for Windows?

    Comment


    • #3
      Yes, I followed all instructions.
      No, "import re" doesn't work. See below,


      >>> import re
      >>> import HTSeq

      Traceback (most recent call last):
      File "<pyshell#1>", line 1, in <module>
      import HTSeq
      File "C:\Python27\lib\site-packages\HTSeq\__init__.py", line 9, in <module>
      from _HTSeq import *
      File "numpy.pxd", line 155, in init HTSeq._HTSeq (src/_HTSeq.c:34392)
      ValueError: numpy.dtype has the wrong size, try recompiling
      >>> import HTSeq

      Traceback (most recent call last):
      File "<pyshell#2>", line 1, in <module>
      import HTSeq
      File "C:\Python27\lib\site-packages\HTSeq\__init__.py", line 144, in <module>
      _re_attr_main = re.compile( "\s*([^\s\=]+)[\s=]+(.*)" )
      NameError: name 're' is not defined

      Comment


      • #4
        Probably should try recompiling numpy:

        I just installed pandas and statsmodels package on my python 2.7 When I tried "import pandas as pd", this error message comes out. Can anyone help? Thanks!!! numpy.dtype has the wrong size, try

        Comment


        • #5
          How did you install HTSeq and NumPy?

          My guess is you have a mis-match between the version of NumPy installed, and the version that HTSeq expects (i.e. what it was compiled against).

          Comment


          • #6
            Thanks fanli!
            I'll recompile and check whether the same error comes again or not.
            Is R / Bioconductor useful in high throughput sequence analysis?

            Comment


            • #7
              Yes, R is pretty handy for all sorts of statistical things. For example, differential expression testing using edgeR, DESeq2, etc.

              Comment


              • #8
                Thanks fanli!

                Comment

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