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document install cdna_cupcake via bioconda #217

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diekhans opened this issue Aug 23, 2023 · 6 comments
Closed

document install cdna_cupcake via bioconda #217

diekhans opened this issue Aug 23, 2023 · 6 comments
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enhancement New feature or request Installation Installation-related issues

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@diekhans
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cDNA_cupcake is in bioconda:

https://anaconda.org/bioconda/cdna_cupcake

@aarzalluz aarzalluz added documentation Improvements or additions to documentation enhancement New feature or request Installation Installation-related issues and removed documentation Improvements or additions to documentation labels Aug 24, 2023
@aarzalluz
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Thanks @diekhans.

Tagging @almart7 -perhaps this could fix the cDNA_Cupcake installation bug reported in #208.

@aarzalluz
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aarzalluz commented Sep 14, 2023

Update: installation of cdna_cupcake with bioconda does not work with current environment configuration.

For future reference, here is the log:

$ conda install -c bioconda cdna_cupcake
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \ 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                               

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:

  - feature:/linux-64::__glibc==2.31=0
  - feature:|@/linux-64::__glibc==2.31=0
  - cdna_cupcake -> libgcc-ng[version='>=10.3.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.31

@Sparkle-27
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Update: installation of cdna_cupcake with bioconda does not work with current environment configuration.

For future reference, here is the log:

$ conda install -c bioconda cdna_cupcake
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \ 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                               

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:

  - feature:/linux-64::__glibc==2.31=0
  - feature:|@/linux-64::__glibc==2.31=0
  - cdna_cupcake -> libgcc-ng[version='>=10.3.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.31

@aarzalluz Hi, I met same error when install cdna_cupcake with bioconda. Have you fixed it? Thx

@aarzalluz
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@Sparkle-27 I don't think it has been fixed yet -for now, it's probably best that you follow the installation instructions for cDNA_Cupcake at the wiki.

@aarzalluz
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aarzalluz commented Dec 11, 2023

A quick heads-up/suggestion for current developers (tagging @almart7 even though I know you may not be the one in charge of fixing this):

Since the IsoSeq toolkit has taken over and cDNA_Cupcake is no longer supported by @Magdoll, it might be worth it to look into re-implementing the Cupcake-based functionalities of SQANTI3 using IsoSeq. I'm not sure to what extent it is feasible, but I'm certain that, in the long run, more deprecation issues and incompatibilities, such as the ones in #208, will arise.

@carolinamonzo
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This problem is now solved by using the Forked version of cDNA_Cupcake in the ConesaLab repository. We have updated the installation in the SQANTI3 wiki and modified the setup.py to avoid the problems in cDNA_Cupcake's installation.

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