CMC
CMC corrects cross-mapping artifacts in deep sequencing data of small non-coding RNAs, particularly microRNAs (20–23 nucleotides), to improve locus assignment and the accuracy of miRNA editing and discovery analyses.
Key Features:
- Cross-mapping correction strategy: Implements a targeted strategy to identify and correct reads erroneously mapped between genomic loci.
- Small RNA focus: Operates on deep/high-throughput sequencing datasets of short RNAs, specifically microRNAs of ~20–23 nucleotides.
- Reduction of false positives: Decreases identification of spurious novel RNAs and prevents incorrect editing-site calls caused by misaligned reads.
- Consideration of biological sources of ambiguity: Leverages the roles of miRNA families, repeat-derived or structural RNAs, and post-transcriptional modifications in producing cross-mapping artifacts.
- Refinement of mapping process: Adjusts mapping assignments to enhance the fidelity of RNA sequencing data analysis.
- Improved editing-call confidence: Enhances confidence in RNA editing detection within mature miRNAs by removing mapping-derived artifacts.
Scientific Applications:
- RNA editing analysis in mature miRNAs: Distinguishes true editing events from artifacts, supporting findings that editing in animal mature miRNAs is rare when cross-mapping is corrected.
- Novel small RNA discovery: Reduces false-positive novel RNA identifications arising from misassigned reads.
- Accurate miRNA locus assignment and quantification: Improves assignment among paralogous miRNA family members and repeat-associated loci in sequencing studies.
- Assessment of post-transcriptional modification impacts: Clarifies how modifications and structural/repeat origins contribute to mapping ambiguity.
Methodology:
Implements a cross-mapping correction strategy that refines mapping assignments in deep sequencing data of small RNAs to reduce erroneous locus mapping caused by miRNA families, repeats, structural RNAs, and post-transcriptional modifications.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 12/18/2017
- Last Updated:
- 12/10/2018
Operations
Publications
de Hoon MJ, Taft RJ, Hashimoto T, Kanamori-Katayama M, Kawaji H, Kawano M, Kishima M, Lassmann T, Faulkner GJ, Mattick JS, Daub CO, Carninci P, Kawai J, Suzuki H, Hayashizaki Y. Cross-mapping and the identification of editing sites in mature microRNAs in high-throughput sequencing libraries. Genome Research. 2010;20(2):257-264. doi:10.1101/gr.095273.109. PMID:20051556. PMCID:PMC2813481.