Motivation: Despite the increasing notions of the functional importance of antisense transcripts in gene regulation, the genome-wide overview on the ontology of antisense genes has not been obtained. Therefore, we tried to find novel antisense genes genome-wide by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries. Results: We identified 1260 potential antisense genes, of which 1001 are not annotated in EnsEMBL, thereby being regarded as novel. Interestingly their sense counterparts were Co-expressed in the majority of the cases. Conclusions: The use of LongSAGE transcriptome data is extremely powerful in the identification of thus-far unknown antisense transcripts, even in the case of well-characterized organisms like the mouse. © The Author 2004. Published by Oxford University Press. All rights reserved.
CITATION STYLE
Wahl, M. B., Heinzmann, U., & Imai, K. (2005). LongSAGE analysis revealed the presence of a large number of novel antisense genes in the mouse genome. Bioinformatics, 21(8), 1389–1392. https://doi.org/10.1093/bioinformatics/bti205
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