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Please describe the issue:
When running Dorado demux with default settings (without the --emit-fastq flag), the process gets stuck after processing approximately 7000 reads(Tried with multiple datasets). When using the --emit-fastq flag, the summary file incorrectly labels all demultiplexed reads as “unclassified.” The goal is to generate a correct summary file and ensure smooth processing of the raw FASTQ data without Dorado getting stuck.
Steps to reproduce the issue:
Run Dorado demux with the default settings (without the --emit-fastq flag) on a dataset of approximately 7000 reads.
Alternatively, run Dorado demux with the --emit-fastq flag and check the generated summary file, which incorrectly marks all reads as "unclassified." Issue is mentioned here: #872
Run environment:
Dorado version: dorado-0.8.1-osx-arm64
Operating system: macOS
Hardware: Mac OS, Apple M1 Pro, 10-core CPU, 32GB RAM, no GPU used.
Source data type: Raw FASTQ data (note: pod5 is recommended for optimal basecalling performance).
Source data location: Local device storage.
Details about data: Nanopore flow cell, R10.4.1 chemistry, using the DNA sequencing kit, approximately 400K reads.
The text was updated successfully, but these errors were encountered:
Please describe the issue:
When running Dorado demux with default settings (without the --emit-fastq flag), the process gets stuck after processing approximately 7000 reads(Tried with multiple datasets). When using the --emit-fastq flag, the summary file incorrectly labels all demultiplexed reads as “unclassified.” The goal is to generate a correct summary file and ensure smooth processing of the raw FASTQ data without Dorado getting stuck.
Steps to reproduce the issue:
Run Dorado demux with the default settings (without the --emit-fastq flag) on a dataset of approximately 7000 reads.
Alternatively, run Dorado demux with the --emit-fastq flag and check the generated summary file, which incorrectly marks all reads as "unclassified." Issue is mentioned here: #872
Run environment:
Dorado version: dorado-0.8.1-osx-arm64
Operating system: macOS
Hardware: Mac OS, Apple M1 Pro, 10-core CPU, 32GB RAM, no GPU used.
Source data type: Raw FASTQ data (note: pod5 is recommended for optimal basecalling performance).
Source data location: Local device storage.
Details about data: Nanopore flow cell, R10.4.1 chemistry, using the DNA sequencing kit, approximately 400K reads.
The text was updated successfully, but these errors were encountered: