Angeldust

Angeldust provides locus-specific clustering and a curated transcript collection for de novo transcriptome characterization of Streptocarpus rexii using next-generation sequencing (NGS) data.

Key Features:

• Locus-specific clustering: Employs a heuristic approach to differentiate closely related paralogous transcripts and increase cluster specificity.
• De novo transcriptome characterization: Built from NGS data to generate transcript collections for non-model plants, specifically Streptocarpus rexii.
• Comparative evaluation with Oases: Validated against the de novo assembler Oases using transcript collections from Arabidopsis thaliana and Streptocarpus rexii.
• Filtered transcript collection and redundancy reduction: Produces filtered transcript sets that match a larger number of distinct annotated loci across reference genomes and reduce overall redundancy compared to Oases-derived sets.

Scientific Applications:

• Non-model plant research: Supports transcript discovery and functional genomics in non-model species such as Streptocarpus rexii.
• Developmental biology: Facilitates investigation of plant developmental processes using Streptocarpus rexii transcript data.
• Comparative genomics: Enables matching of transcripts to annotated loci across different reference genomes for comparative analyses.

Methodology:

Uses a heuristic locus-specific clustering algorithm on de novo transcriptome data derived from NGS, with validation by comparison to the Oases assembler using Arabidopsis thaliana and Streptocarpus rexii transcript collections, and subsequent filtering to match annotated loci and reduce redundancy.