RealFeedApp ONT-LibQC reveals biological signal in CUT&RUN with 3 000 reads
ONT-LibQC workflow assesses chromatin assay libraries using approximately 3000 shallow Oxford Nanopore reads before deep sequencing. It successfully identifies enrichment of H3K4me3, H3K36me3, and H3K27me3 profiles, matching results from Illumina sequencing.
- Field
- genetics and genomes
- What they did
- Developed a method called ONT-LibQC that assesses the quality of chromatin assay libraries using only a few thousand short reads from Oxford Nanopore, instead of deep sequencing.
- Why it matters
- This allows problems with biological signal to be detected early, avoiding the need for expensive and slow deep sequencing, which speeds up protocol optimization.
#nanopore#chromatin#cut&run#micro-c#quality control
