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The Project for High-Confidence Coding and Noncoding Transcriptome Maps

(Submitter supplied) The advent of high-throughput RNA sequencing (RNA-seq) has led to the discovery of unprecedentedly immense transcriptomes encoded by eukaryotic genomes. However, the transcriptome maps are still incomplete partly because they were mostly reconstructed based on RNA-seq reads that lack their orientations (known as unstranded reads) and certain boundary information. Methods to expand the usability of unstranded RNA-seq data by predetermining the orientation of the reads and precisely determining the boundaries of assembled transcripts could significantly benefit the quality of the resulting transcriptome maps. more...
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing; Third-party reanalysis
Platform:
GPL13112
2 Samples
Download data: GTF
Series
Accession:
GSE97212
ID:
200097212

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