DART

DART maps RNA-seq sequence fragments to reference genomes using a partitioning (divide-and-conquer) strategy to enable de novo spliced alignments with high sensitivity and reduced computational time.

Key Features:

• Partitioning (Divide-and-Conquer) Strategy: Divides alignment tasks into segments to avoid the computationally expensive extension step typical of seed-and-extend methods.
• High Sensitivity and Accuracy: Demonstrated high sensitivity and accuracy on synthetic datasets and real next-generation sequencing (NGS) datasets, performing comparably or superiorly to selected state-of-the-art aligners.
• Spliced-alignment and Splice-junction Detection: Handles spliced alignments and detects splice junctions to enable accurate mapping of complex transcript structures.
• Time Efficiency: Exhibits reduced processing time, spending less time than selected aligners when processing RNA-seq data.

Scientific Applications:

• Gene Expression Analysis: Provides high-resolution measurements of gene expression levels for transcriptional studies.
• Detection of Low Abundance Transcripts: Sensitive detection and analysis of transcripts present at low abundance.
• Splice Variant Discovery: Detection of splice junctions facilitates discovery of novel splice variants.

Methodology:

DART applies a partitioning/divide-and-conquer computational strategy that divides the alignment task into manageable segments to avoid the extension phase of conventional seed-and-extend methods.