A method to extract and assemble mitochondrial whole genomes from animal whole genome data

 A few years ago, phage cloning was commonly used to obtain a complete mitochondrial genome

 In order to overcome this difficulty and improve the work efficiency of researchers, Li Jiatang's research group from the Chengdu Institute of Biology, Chinese Academy of Sciences has developed a method for extracting and assembling mitochondrial whole genomes from animal whole genome data without relying on "seed" sequences, and using Python And C++ written as software - MEANGS

Figure 1 MEANGS workflow for assembling mitochondrial genomes from animal whole-genome data

 For MEANGS, this study used 16 sets of data from different taxa (mammals, birds, fish, reptiles, amphibians, insects and mollusks) with different sequencing quality for correlation testing

Figure 2 MEANGS shows the best data compatibility compared with the other three softwares

Figure 3 MEANGS and the other three softwares show obvious advantages in conventional evaluation indicators

 The research results, titled MEANGS: an efficient seed-free tool for de novo assembling animal mitochondrial genome using whole genome NGS data, have been published online in Briefings in Bioinformatics (IF: 11.

 Original link