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avallonking / ForestQC

Quality control on genetic variants from next-generation sequencing data using random forest
MIT License
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Python version for ForestQC #6

Closed smeeta closed 3 years ago

smeeta commented 3 years ago

Hi avallonking,

I was trying to install ForestQC using conda as suggested in the wiki of this doc. The package failed and in specifications it shows that following

forestqc -> python[version ='>=3.6,<3.7.0a0|>=3.7,<3.8.0a0']

I have python =3.8 Is it that forestqc can run only in python < 3.8 ? Is there any other way out besides downgrading my python version.

Thank you. regards Smeeta

avallonking commented 3 years ago

Hi Smeeta,

Sorry for the late reply. I will try making the package and uploading it using Anaconda with Python 3.8. I will let you know once it is finished. I think it could take a day.

Best regards, Albert

avallonking commented 3 years ago

Hi Smeeta,

I have uploaded the ForestQC package for Python 3.8. Can you try installing it from Anaconda again? Now you should be able to install it by doing conda install forestqc -c avallonking.

If you have any additional questions, please let me know.

Best regards, Albert

smeeta commented 3 years ago

Dear Albert,

Thanks a million ! :) Awesome. I managed to install it via conda and run the ForestQC -h to check for installation.

All Good !

(base) smeetas-MacBook-Air:~ smeeta$ ForestQC -h ForestQC v1.1.5.4 by Jae Hoon Sul Lab at UCLA --Quality control on genetic variants from next-generation sequencing data using random forest

usage: ForestQC [-h] {stat,split,classify,set_outlier,compute_gc} ...

positional arguments: {stat,split,classify,set_outlier,compute_gc} ForestQC command help stat variants statistics help split variants splitting help classify variants classification help set_outlier set outlier help compute_gc compute GC content help

optional arguments: -h, --help show this help message and exit

Thank you once again. Have a lovely weekend ahead :)

regards Smeeta