Ten computational challenges in human virome studies  

作　　者：Yifan Wu Yousong Peng 

机构地区：[1]Bioinformatics Center,College of Biology,Hunan Provincial Key Laboratory of Medical Virology,Hunan University,Changsha 410082,China

出　　处：《Virologica Sinica》2024年第6期845-850,共6页中国病毒学(英文版)

基　　金：supported by National Natural Science Foundation of China(32170651&32370700).

摘　　要：In recent years,substantial advancements have been achieved in understanding the diversity of the human virome and its intricate roles in human health and diseases.Despite this progress,the field of human virome research remains nascent,primarily hindered by the lack of effective methods,particularly in the domain of computational tools.This perspective systematically outlines ten computational challenges spanning various types of virome studies.These challenges arise due to the vast diversity of viromes,the absence of a universal marker gene in viral genomes,the low abundance of virus populations,the remote or minimal homology of viral proteins to known proteins,and the highly dynamic and heterogeneous nature of viromes.For each computational challenge,we discuss the underlying reasons,current research progress,and potential solutions.The resolution of these challenges necessitates ongoing collaboration among computational scientists,virologists,and multidisciplinary experts.In essence,this perspective serves as a comprehensive guide for directing computational efforts in human virome studies.

关 键 词：Human virome Computational biology Computational viromics Artificial intelligence 

分 类 号：R373[医药卫生—病原生物学]