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I am trying to install MACS peak caller from deb but it is saying that I dont have python 2.6 install even though I have. What could be wrong?
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I'm trying to install MACS version 1.4.2 and I have python version 2.7.4 installed in Ubuntu. The MACS website says Python version must be 2.6 or 2.7 and it fails to install for me saying "macs depends on python2.6". How can I install it and will it work with 2.7.4 or do I have to downgrade to 2.6 (or 2.7?). -
Might not be picking up your version of python.should indicate what version of python you have,Code:python -V
will indicate which binary of python is being used (in case you have multiple versions in play). Is your pythonpath env variable set correctly? Are you pointing to the correct python libraries?Code:which python
The other option is going from source. Even if you don't use the compiled binary, it'll probably spit out an error message if your install fails, and that will also be useful in troubleshooting.
It looks like MACS bundles with a setup.py, so a python setup.py install --user should install MACS locally.Last edited by ctseto; 11-14-2013, 12:15 PM.Comment
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Thank you I think it's working now, I used "python setup.pl install --user". When I type "./macs14 -h" or "./macs14 --version" it prints out the help or version number correctly.Comment
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Now I figured out there is a new version macs2! But I got that one installed
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Saw that as well. I had originally posted instructions to pull the newest code from git and install it locally to --user, but you seem to have gotten that sorted out.Originally posted by biznatch View PostNow I figured out there is a new version macs2! But I got that one installedComment
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I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before...06-18-2026, 07:11 AM -
Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...06-02-2026, 10:05 AM
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