--------------------------------------------------------------- mm10.trackDb.html : Differences exist between hgwbeta and hgw2 (RR fields taken from public MySql server, not individual machine) 1674,1675c1674 < clsLongReadRnaTrack | employed the Capture Long-read Sequencing (CLS) protocol to enrich transcripts from targeted genomic regions. It used a large capture array with orthologous probes in human and mouse genomes, targeting non-GENCODE lncRNA annotations and regions suspected of unannotated transcription. CapTrap-Seq, a cDNA library preparation protocol, was used to enrich for full-length RNA molecules (5′ to 3′). < clsLongReadRnaTrack |
--- > clsLongReadRnaTrack | employed the Capture Long-read Sequencing (CLS) protocol to enrich transcripts from targeted genomic regions. It used a large capture array with orthologous probes in human and mouse genomes, targeting non-GENCODE lncRNA annotations and regions suspected of unannotated transcription. CapTrap-Seq, a cDNA library preparation protocol, was used to enrich for full-length RNA molecules (5′ to 3′).< clsLongReadRnaTrack | Matched adult and embryonic tissues from human and mouse were selected to maximize transcriptome complexity. Libraries were sequenced pre- and post-capture using PacBio and Oxford Nanopore Technologies (ONT) long-read platforms, as well as short-read technologies. < clsLongReadRnaTrack |
< clsLongReadRnaTrack | < clsLongReadRnaTrack |< clsLongReadRnaTrack | Transcript isoform models were built from reads using the LyRic analysis software. These were merged using intron chains, with transcription start and end sites anchored using CAGE and poly(A) data. < clsLongReadRnaTrack |
< clsLongReadRnaTrack | < clsLongReadRnaTrack |< clsLongReadRnaTrack | Data and metadata is discoverable via Array Express entry E-MTAB-14562 < clsLongReadRnaTrack |
--- > clsLongReadRnaTrack | Matched adult and embryonic tissues from human and mouse were selected to maximize transcriptome complexity. Libraries were sequenced pre- and post-capture using PacBio and Oxford Nanopore Technologies (ONT) long-read platforms, as well as short-read technologies.