Skip to content

GetOrganelle

Description

getorganelle website

This toolkit assemblies organelle genome from genomic skimming data. It achieved the best performance overall both on simulated and real data and was recommended as the default for chloroplast genome assemblies in a third-party comparison paper (Freudenthal et al. 2020. Genome Biology).

Environment Modules

Run module spider getorganelle to find out what environment modules are available for this application.

Environment Variables

  • HPC_GETORGANELLE_DIR - installation directory
  • HPC_GETORGANELLE_BIN - executable directory

Citation

If you publish research that uses getorganelle you have to cite it as follows:

Jian-Jun Jin, Wen-Bin Yu, Jun-Bo Yang, Yu Song, Ting-Shuang Yi, De-Zhu Li. 2018. GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes. bioRxiv, 256479.

Categories

phylogenetics