RNA-MATE
RNA-MATE performs recursive mapping of RNA-seq (NGS) reads to reference genomes to preserve strand specificity, map reads crossing exon-junction boundaries, support color-space sequencing data, and generate files for downstream gene-expression analyses.
Key Features:
- Recursive Mapping Strategy: Iteratively attempts to map reads to maximize the number of mappable tags from RNAseq data.
- Strand Specificity Retention: Preserves strand-specific information during mapping for accurate gene-expression interpretation.
- Exon-Junction Boundary Mapping: Addresses tags that cross exon-junction boundaries to improve alignment accuracy across splice sites.
- Color-Space Sequencing Data Alignment: Supports alignment of color-space sequencing data within the mapping pipeline.
- Data Integration and File Generation: Collates mapped information and generates files suitable for examining gene-expression data in a genomic context.
Scientific Applications:
- Transcriptomics: Precise mapping of RNAseq reads to reference genomes to support transcriptome analysis.
- Gene Expression Profiling: Generation of strand-specific mapped datasets for downstream differential expression and expression quantification.
- Genomic Investigations: Handling exon-junction and strand-specific complexities required for accurate RNA-based genomic studies.
Methodology:
RNA-MATE uses a recursive strategy that iteratively attempts to map sequencing reads, considering potential exon-junctions and enforcing strand-specific alignment.
Topics
Details
- Tool Type:
- workflow
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Mapping
Inputs
Outputs
Publications
Cloonan N, Xu Q, Faulkner GJ, Taylor DF, Tang DTP, Kolle G, Grimmond SM. RNA-MATE: a recursive mapping strategy for high-throughput RNA-sequencing data. Bioinformatics. 2009;25(19):2615-2616. doi:10.1093/bioinformatics/btp459. PMID:19648138. PMCID:PMC2752615.