Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • ssb
    Junior Member
    • Mar 2016
    • 4

    #1

    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
  • fanli
    Senior Member
    • Jul 2014
    • 197

    #2
    Does this work for you?

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

    Comment

    • ssb
      Junior Member
      • Mar 2016
      • 4

      #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

      • fanli
        Senior Member
        • Jul 2014
        • 197

        #4
        Probably should try recompiling numpy:

        http://stackoverflow.com/questions/1...ry-recompiling

        Comment

        • maubp
          Peter (Biopython etc)
          • Jul 2009
          • 1544

          #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

          • ssb
            Junior Member
            • Mar 2016
            • 4

            #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

            • fanli
              Senior Member
              • Jul 2014
              • 197

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

              Comment

              • ssb
                Junior Member
                • Mar 2016
                • 4

                #8
                Thanks fanli!

                Comment

                Latest Articles

                Collapse

                • SEQadmin2
                  Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
                  by SEQadmin2



                  CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

                  Despite this, “CRISPR helped turn genome editing from a specialized technique into
                  ...
                  07-31-2026, 11:01 AM
                • SEQadmin2
                  Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
                  by SEQadmin2


                  Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

                  The systematic characterization of the human proteome has
                  ...
                  07-20-2026, 11:48 AM

                ad_right_rmr

                Collapse

                News

                Collapse

                Topics Statistics Last Post
                Started by SEQadmin2, 08-13-2026, 12:22 PM
                0 responses
                20 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 08-11-2026, 10:35 AM
                0 responses
                16 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 08-06-2026, 07:41 AM
                0 responses
                32 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 08-03-2026, 10:13 AM
                0 responses
                50 views
                0 reactions
                Last Post SEQadmin2  
                Working...