Comments (7)
Hi,
Thanks for trying out the package. It seems like you don't have the 'parallel' R package. If not, then please install it from here https://cran.r-project.org/web/packages/parallelly/index.html or type install.packages('parallel') within the R environment. I hope this will resolve the first issue.
Regarding the second issue, please install the 'bedtools' package from here https://bedtools.readthedocs.io/en/latest/ and please make sure the tool is in your $PATH. This is a must package to have for dchic.
I hope the rest of the issues will be resolved once you follow the above instructions.
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Hi Ay,
Thanks for your reply! I actually have the parallel package installed in R, and I asked for help from the HPC staff of our university for installing bedtools. It is now installed, and I can load it, and call it, but the error message is still there. Do you have any other advice?
Thanks!
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Hi,
You can try out two options - first, you can run with '--cthread 1 --pthread 1' option, so that you will avoid using the clusterApply part. The second option is to log into your HPC system in interactive mode and run dchic with '--cthread 2 --pthread 2' option. Let's try to resolve this issue, I can then help you to resolve the next.
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Thank you, Ay. I tried the first option, and I got a new error, "Performing Z transformation : complete!
Performing block wise correlation calculation Error in functionsdchic::oe2cor(mat, (start - 1), (end - 1), 1, 0) :
upper value must be greater than lower value
Calls: lapply -> FUN -> lapply -> FUN ->
Execution halted".
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Thanks for trying out the option. It seems like an issue either with the file format or the presence of a non-conventional chromosome with very few counts. Do you mind sending me the input bed file and a slice of the matrix files to [email protected]?
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Thank you, Ay, for this kind suggestion! However, because this is unpublished data yet, we may need some time to think about it.
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An alternative option is to run the PCA calculation separately (using HOMER/juicer) and use dcHiC to call the differential compartments. Please check the "Using Existing PC values with dcHiC" option under the utility folder.
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Related Issues (20)
- Support for other genomes: HOT 2
- error in hclust (--pcatype select) HOT 4
- Normalized counts or raw counts? HOT 2
- hashmap HOT 3
- error: Two levels of parallelism are used. See `?assert_cores`. HOT 5
- `numberclust` parameter HOT 2
- Error: upper value must be greater than lower value Execution halted HOT 3
- How to extract compartment A/B information for each sample HOT 6
- pcOri values not matched between different conditions HOT 2
- running dhHiC on nf-core hic pipeline output file HOT 1
- cis interaction matrix and trans interaction matrix HOT 10
- Genome selection problem HOT 9
- dloop error HOT 6
- The difference between calculations for weighted center across replicates or samples HOT 6
- Error while installing functionsdchic HOT 4
- "IndexError: list index out of range" while using --pcatype fithic HOT 11
- Visualization HOT 12
- dcHIC --pcatype analyze: dim(X) must have a positive length HOT 2
- Small bug in utillities/preprocess.py + solution, 'chromosome not found in the file' error. HOT 2
- Error for trans HOT 8
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