X-MATE
X-MATE performs recursive mapping of short-read RNA-Seq and DNA sequence data against reference genomes to improve alignment accuracy for transcriptome and genome analyses.
Key Features:
- Dual Mapping Capability: Supports recursive mapping of both RNA-Seq and DNA short-read sequencing datasets against reference genomes.
- Enhanced Performance: Optimized for efficient processing of large-scale short-read sequencing data to improve throughput.
- Flexible Core Mapping Software: Allows selection and use of alternative core mapping software components (aligners) within the pipeline.
- Improved Output File Formats: Produces updated output file formats to facilitate integration with downstream analysis pipelines.
- Configurable Pipeline: Provides configurable pipeline settings via configuration files to tailor mapping parameters to diverse experimental designs.
Scientific Applications:
- Transcriptome analysis: Accurate mapping of RNA-Seq reads to support transcriptome profiling.
- Gene expression studies: Enables read mapping required for quantification of gene expression from RNA-Seq data.
- Novel transcript and splice-variant identification: Facilitates detection of novel transcripts and splice junctions from RNA-Seq data.
- Variant calling and genome re-sequencing: Supports mapping of DNA sequence data for variant discovery in genome re-sequencing projects.
- Genome-wide association studies (GWAS): Provides mapped DNA sequence data that can be used for variant-based association analyses.
- Comparative genomics: Enables alignment of DNA sequence data for comparative analyses across genomes.
Methodology:
Implements recursive mapping strategies that iteratively refine alignments based on initial mapping results to enhance alignment accuracy.
Topics
Collections
Details
- License:
- Not licensed
- Tool Type:
- command-line tool
- Added:
- 8/20/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Wood DLA, Xu Q, Pearson JV, Cloonan N, Grimmond SM. X-MATE: a flexible system for mapping short read data. Bioinformatics. 2011;27(4):580-581. doi:10.1093/bioinformatics/btq698. PMID:21216778. PMCID:PMC3035802.