The Research Status and Considerations in Quality Evaluation of Bioinformatics Analysis of Metagenomic Next-Generation Sequencing
Metagenomic next-generation sequencing(mNGS)has become a new tool for the diagnosis of infectious pathogens,consisting of two parts:experimental procedures(wet bench)and bioinformatics analysis(dry bench).The dry bench,comprising algorithms and databases,aims to output detection results after analyzing and processing the sequencing data generated by the wet bench.The performance of the dry bench is affected by complex and variable interference factors in sequencing data,including a large number of human nucleic acids in clinical samples,microbial nucleic acids carried by reagents and consumables,environmental microbial nucleic acids introduced by sampling and experimentation,incorrect alignment and annotation caused by heterogeneous genome quality in databases or excessive similarity between genomes of different species,and the influence of algorithm and parameter differences on classification and identification.These interference factors may come from various steps of the mNGS workflow,potentially leading to incorrect species identification and microbial detection results from dry bench,and posing great challenges to its quality control and evaluation.This paper reviews the key issues of quality control of mNGS dry bench and discusses thoughts on quality evaluation methods.
国家科技期刊平台
NSTL
万方数据
