IRplus

IRplus detects inverted repeats in plastid genomes and characterizes their quadripartite junctions to support analysis and visualization of plastid genomic structure for phylogenetic studies.


Key Features:

  • Inverted Repeat Detection: Accurately identifies inverted repeats and the four junction sites of the plastid genome quadripartite structure.
  • Integrated Error Detection: Implements integrated error-detection mechanisms to flag anomalies and improve accuracy of genome analyses.
  • Flexible Visualization Options: Generates graphical maps with configurable color schemes for plastid genome visualization.
  • Simplified Comparative Graphical Maps: Produces simplified comparative maps that emphasize structural differences among plastid genomes, including the quadripartite arrangement.
  • Interoperability with Annotation Formats: Supports interoperability with widely used annotation file formats to integrate annotations with repeat detection and visualization.

Scientific Applications:

  • Phylogenetic studies: Facilitates phylogenetic inference by enabling comparison of plastid genome structural variation across plant taxa.
  • Comparative plastid genomics: Enables rapid visualization and comparison of multiple plastid genomes to assess structural variation.
  • High-throughput sequencing analyses: Supports routine display and analysis of large sequencing datasets by visualizing plastid genome structures.

Methodology:

Computational detection of inverted repeats and quadripartite junctions, integrated error-detection routines, generation of comparative graphical maps with configurable color schemes, and interoperability with standard annotation file formats.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Mac, Windows
Programming Languages:
R
Added:
3/21/2024
Last Updated:
11/24/2024

Operations

Publications

Díez Menéndez C, Poczai P, Williams B, Myllys L, Amiryousefi A. IRplus: An Augmented Tool to Detect Inverted Repeats in Plastid Genomes. Genome Biology and Evolution. 2023;15(10). doi:10.1093/gbe/evad177. PMID:37793175. PMCID:PMC10581538.

PMID: 37793175
Funding: - Academy of Finland: 323711

Links