TriageTools
TriageTools partitions raw high-throughput sequencing (HTS) datasets to extract FASTQ reads likely to map to predefined genomic regions for targeted analysis of genes and pathways.
Key Features:
- Data Partitioning: Partitions raw sequencing data (FASTQ reads) to extract subsets corresponding to predefined regions of interest.
- Read Extraction Method: Employs a method for extracting reads likely to map onto targeted genomic regions to avoid processing irrelevant reads.
- Performance: Achieves reported speedup factors ranging from 2.6 to 96 depending on settings and sample types.
- Sample Types: Applicable to both DNA and RNA sequencing samples.
- Resource Optimization: Reduces computation time and disk space by focusing analyses on reads relevant to specified genes or pathways.
Scientific Applications:
- Targeted genomic analyses: Enables partitioning of datasets to include only reads relevant to specific genes or pathways.
- Gene expression: Supports focused gene expression studies by extracting transcript-specific reads.
- Variant calling: Facilitates variant calling on predefined genomic regions by supplying targeted read subsets.
- Pathway analysis: Allows pathway-level investigations by extracting reads mapping to pathway-associated genes.
Methodology:
Identifies and extracts sequencing reads likely to map onto predefined regions of interest using a selective extraction process facilitated by algorithms that maximize relevance while minimizing unnecessary data processing.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Fimereli D, Detours V, Konopka T. TriageTools: tools for partitioning and prioritizing analysis of high-throughput sequencing data. Nucleic Acids Research. 2013;41(7):e86-e86. doi:10.1093/nar/gkt094. PMID:23408855. PMCID:PMC3627586.