Comments (2)
Ah, do you have a single chromosome that is longer than
If so, this number is unfortunately a limitation of our current implementation.
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@arslan9732 As a work around and only for the sake of fine tuning, you could split or truncate any chromosomes longer than the above numbers, but run the final inference (once you have the tuned model) on the original full-length sequences.
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Related Issues (20)
- Name the genes in order HOT 1
- Issues with Gymnosperms HOT 2
- Online Version HOT 8
- Fail early and clearly on fasta files with duplicate IDs
- Some tensorflow warning/error messages when running Helixer via Singularity HOT 3
- results from web tool not sent HOT 2
- boolean index did not match indexed array along dimension 0 HOT 2
- Low busco scores for transcripts called on large Cupressus genome (10Gb) with helixer HOT 2
- gff3 specification HOT 1
- nohup not helping in Helixer.py, run is stopped when connection is lost HOT 5
- Helixer and the protein related domain HOT 1
- ModuleNotFoundError: No module named 'tensorflow.keras' HOT 2
- How does helixer evaluate performance when predicting genomes? HOT 1
- OSError: [Errno 9] Bad file descriptor HOT 1
- When I run python Helixer.py, met: "ImportError: cannot import name 'where' from 'certifi' (unknown location" HOT 1
- Question: How to find more smaller genes HOT 2
- hypothetical all-eukaryote model HOT 3
- Micro exons with single bases or two
- error message = 'No space left on device"
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