lncEvo

lncEvo performs transcriptome assembly from RNA-Seq, predicts long noncoding RNAs (lncRNAs; >200 nucleotides and lacking protein-coding potential), and compares lncRNA transcriptomes between species to identify orthologous lncRNAs and assess their evolutionary conservation.


Key Features:

  • Transcriptome assembly from RNA-Seq: Assembles transcriptomes from RNA sequencing (RNA-Seq) data to capture expressed transcripts within samples.
  • Prediction of long noncoding RNAs: Predicts lncRNAs and distinguishes them from other transcripts based on sequence features and coding potential.
  • Conservation study: Conducts genome-wide comparisons of lncRNA transcriptomes between two species to identify orthologous lncRNAs.
  • Modular flexibility: Permits running transcriptome assembly or lncRNA prediction modules independently of the conservation study.
  • Customizable parameters: Offers configurable trade-offs between speed and sensitivity for analyses.
  • Built-in reporting functionalities: Produces integrated reports summarizing analysis results and outputs.

Scientific Applications:

  • Gene regulatory studies: Identifies lncRNAs and assesses their conservation to investigate roles in gene regulation.
  • Disease research: Links specific lncRNAs to human diseases to provide insights into molecular mechanisms and disease associations.
  • Evolutionary biology: Compares lncRNA transcriptomes across species to study the evolution and diversification of lncRNAs.

Methodology:

Implemented in the Nextflow framework, lncEvo assembles transcriptomes from RNA-Seq, predicts lncRNAs using computational algorithms, and performs genome-wide interspecies comparisons to identify orthologous lncRNAs.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Added:
3/19/2021
Last Updated:
4/11/2021

Operations

Publications

Bryzghalov O, Makałowska I, Szcześniak MW. lncEvo: automated identification and conservation study of long noncoding RNAs. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-03991-2. PMID:33563213. PMCID:PMC7871587.

PMID: 33563213
PMCID: PMC7871587
Funding: - Ministerstwo Nauki i Szkolnictwa Wyższego: 1268/MOB/IV/2015/0 - Narodowe Centrum Nauki: 2014/15/D/NZ2/00525 - Krajowy Naukowy Osrodek Wiodacy: 01/KNOW2/2014

Links