Comments (3)
Thank you for using our tool. Please see a few previous threads already regarding single-cell seq. What are you trying to accomplish with arcasHLA on single-cell RNAseq?
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I have fastq files (in the form of I1, R1 and R2) from ScRNA-seq and would like to identify the HLA-genotype. Would it be appropriate to run arcasHLA using the fastq file (only R2 with the sequence)? Are any pre-processing required before running arcasHLA or should I be aware of any caveats of the HLA genotypes identified from ScRNA-Seq?
I checked the previous threads and it was mentioned arcasHLA performance will be tested and benchmarked with scRNA-seq data. Could you please let me know how was the performance from such analysis?
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Thank you for using our tool. Please see the explanation provided in issue #49
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Related Issues (20)
- scipy.stats.mode() function update results in failed reference construction HOT 2
- Deprecation of kallisto pseudo HOT 3
- empty .fa.gz files when running "extract" HOT 1
- arcasHLA customize not working HOT 1
- [reference] Error: dat/IMGTHLA/hla.dat empty or corrupted.
- Frequent reporting of a null allele for 10X data
- Some alles alleles did not be inferred ? HOT 1
- [IndexError] arcasHLA `reference` -- initial set up HOT 13
- Problems running `customize` HOT 2
- Running paired data results in empty fastq HOT 1
- 0 reads mapped to a single HLA gene
- [KeyError] arcasHLA `convert` - using "group" HOT 4
- Donor/Recipient
- TypeError: only integer scalar arrays can be converted to a scalar index HOT 1
- Giving path to reference dataset in genotype command
- arcasHLA reference error with IMGTHLA>3.34.0
- No HLA name file HOT 1
- unable to install arcasHLA in M3 Mac under conda.
- IMGT/HLA version 3.56.0 and onwards provides large files as zip files HOT 1
- pseudoalignments.tsv error HOT 1
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