Specific identification and quantification of circular RNAs from sequencing data
Abstract. Motivation: Circular RNAs (circRNAs) are a poorly characterized class of molecules that have been identified decades ago. Emerging high-throughput se
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2016
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| In: |
Bioinformatics
Year: 2015, Volume: 32, Issue: 7, Pages: 1094-1096 |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btv656 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btv656 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/bioinformatics/article/32/7/1094/1743588 
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| Author Notes: | Jun Cheng, Franziska Metge and Christoph Dieterich |
| Summary: | Abstract. Motivation: Circular RNAs (circRNAs) are a poorly characterized class of molecules that have been identified decades ago. Emerging high-throughput se |
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| Item Description: | Advance Access Publication Date: 9 November 2015 Gesehen am 30.04.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btv656 |