Long-read RNA sequencing directly resolves the full structures of RNA transcripts. Advances in throughput now enable the generation of deeply sequenced cohorts of hundreds of samples, making joint transcript discovery across large datasets possible. However, existing transcript identification methods were designed for...
E. Dolzhenko, Megan D. Schertzer, Ryan Gossart et al.· bioRxiv· 1 citation
The first integrated analysis of the Somatic Mosaicism across Human Tissues (SMaHT) Network’s production resource is presented, profiling up to 20 tissues from 25 donors using short- and long-read, duplex, single-cell, transcriptomic, and epigenomic sequencing, alongside donor-specific near-telomere-to-telomere assembl...
F. Sedlazeck, Tim H. H. Coorens, Peter J. Park et al.· bioRxiv· 0 citations
Isoform-resolved transcriptomics is fundamental to decoding the molecular complexity of the human brain, yet population-scale long-read RNA sequencing has remained inaccessible due to labor-intensive library preparation, sensitivity to RNA degradation in postmortem tissue, and the absence of integrated, reproducible an...
C. Kouam, Jackson Mingle, Pilar Álvarez Jerez et al.· bioRxiv· 0 citations
A telomere-to-telomere genome benchmark with near-perfect accuracy across 99.4% of the diploid HG002 genome is presented, expanding the reach of genomic medicine to the entire genome and enabling a new era of personalized genomics.
Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji et al.· Cell· 8 citations
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