RNAmer

RNAmer is a computational tool designed for the detection and analysis of RNA fusion transcripts in genomic or transcriptomic datasets. Fusion transcripts, resulting from the joining of two separate genes, can play significant roles in various biological processes and are often associated with diseases such as cancer. Accurate identification of these transcripts is crucial for understanding their functional implications.

RNAmer employs advanced algorithms to identify chimeric reads indicative of fusion events by analyzing sequencing data from RNA-Seq experiments. It aligns reads to a reference genome or transcriptome, then filters and evaluates candidate fusion junctions based on multiple criteria, including read support, mapping quality, and genomic context. The tool provides detailed reports on fusion candidates, including their gene partners, breakpoint positions, and supporting evidence.

Developed to be user-friendly, RNAmer supports high-throughput analysis and integrates with existing bioinformatics pipelines. Its outputs facilitate downstream validation and functional studies, aiding researchers in discovering novel fusion genes or characterizing known ones.

RNAmer is publicly available and maintained by a dedicated team of bioinformaticians. Its development emphasizes accuracy, sensitivity, and ease of use, making it a valuable resource for cancer research, genetic studies, and transcriptomics analyses. As a specialized tool, RNAmer contributes to the expanding field of RNA fusion transcript analysis, supporting both basic research and clinical investigations.