Full-length Transcriptome of Sphingonotus tsinlingensis
Sequence data were processed using the SMRT Link 5.1 software. Circular consensus sequences (CCSs) were generated from subread BAM files with the following parameters: min_length 50, max_drop_fraction 0.8, no_polish TRUE, min_zscore -9999.0, min_passes 2, min_predicted_accuracy 0.8, and max_length 15,000. CCS.BAM files were generated, which were then classified into full-length and non-full-length reads using pbclassify.py, ignorepolyA false, and minSeqLength 200. Non-full-length and full-length FASTA files were produced and fed into the cluster step, which performed isoform-level clustering, followed by final Arrow polishing, hq_quiver_min_accuracy 0.99, bin_by_primer false, bin_size_kb 1, qv_trim_5p 100, and qv_trim_3p 30.