GEO DataSets

(Submitter supplied) The accuracy of methods for assembling transcripts from short-read RNA sequencing data is limited by the lack of long-range information. Here we introduce Ladder-seq, an approach that separates transcripts according to their lengths prior to sequencing and uses the additional information to improve the quantification and assembly of transcripts. Using simulated data, we demonstrate that a kallisto algorithm extended to process Ladder-seq data quantifies transcripts of complex genes with substantially higher accuracy than conventional kallisto. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL19057 GPL24973 GPL17021

19 Samples

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