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In this work we aim to improve the understanding of the mouse transcriptome complexity, investigate the expressed fraction of the genome and ameliorate the available mouse annotations. We utilized CatureSeq, a recently described strategy meant to enhance the sequencing coverage of low abundant genes...
ORGANISM(S): Mus musculus 
We compared the performance of conventional RNAseq with RNA Capture Sequencing (CaptureSeq) to assemble and quantify known RNA spike-Ins and human transcripts. We find CaptureSeq to be superior for the detection and quantification of the 37% lowest expressed genes, and comparable for the next 45% of...
ORGANISM(S): Homo sapiens 
We characterized by RNA-seq the transcriptional profiles of a large and heterogeneous collection of mouse tissues, augmenting the mouse transcriptome with thousands of novel transcript candidates. Comparison with transcriptome profiles obtained in human cell lines reveals substantial conservation of...
ORGANISM(S): Homo sapiens 
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