LoReAn

LoReAn integrates long-read complementary DNA (cDNA) sequencing, short-read cDNA sequencing, protein evidence, and ab initio prediction to annotate eukaryotic genomes and resolve complex transcript structures including alternative splice forms.


Key Features:

  • Integration of Long-Read cDNA Sequencing: Leverages single-molecule full-length cDNA sequencing data from Pacific Biosciences and MinION to reveal intricate transcript structures and alternative splice forms.
  • Comprehensive Data Utilization: Combines short- and long-read cDNA sequencing with protein evidence and ab initio prediction methods to produce comprehensive genome annotations.
  • Enhanced Gene Prediction Accuracy: Demonstrated to outperform existing annotation pipelines by more accurately predicting gene structures and capturing genes missed by other tools.

Scientific Applications:

  • Eukaryotic genome annotation: Produces improved gene models for eukaryotic genomes using integrated sequencing and evidence sources.
  • Fungal genome annotation: Applied to annotate fungal genomes, including Verticillium dahliae and Plicaturopsis crispa.
  • Plant genome annotation: Applied to annotate plant genomes, including Arabidopsis thaliana and Oryza sativa.
  • Transcript structure and alternative splicing detection: Resolves intricate transcript structures and alternative splice forms from full-length cDNA reads.

Methodology:

Integrates short- and long-read cDNA sequencing data, incorporates protein evidence, and employs ab initio gene prediction algorithms.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Mac
Programming Languages:
R
Added:
5/29/2019
Last Updated:
11/25/2024

Operations

Publications

Cook DE, Valle-Inclan JE, Pajoro A, Rovenich H, Thomma BP, Faino L. Long-Read Annotation: Automated Eukaryotic Genome Annotation Based on Long-Read cDNA Sequencing. Plant Physiology. 2018;179(1):38-54. doi:10.1104/pp.18.00848. PMID:30401722. PMCID:PMC6324239.

PMID: 30401722
Funding: - Human Frontiers in Science Program: LT000627/2014-L - ZonMw-project: 435003020

Documentation