EVenn:Easy to create repeatable and editable Venn diagrams and Venn networks online

• 作 者: Tong Chen Haiyan Zhang Yu Liu Yong-Xin Liu Luqi Huang
• 机 构: National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences,Beijin
• 出 处: 遗传学报
• 发表日期: 2021年9期

Effective visualization of features generated in next-generation sequencing or other experimental assays is of great interest.These features include operational taxonomy units (OTUs) in microbiome analysis (Zhang et al.,2019),genes,single nucleotide variants,and gene ontology information in transcriptome,genome,and epige-nome analysis (Liu et al.,2018),ingredients in traditional Chinese for-mulas (Li et al.,2020).One usual task is comparing sets of features from different sample groups such as different physiological or path-ological conditions,compartments,or developmental stages to iden-tify the sample similarity or core OTUs/genes/pathways for downstream analyses (Liu et al.,2020;Qian et al.,2020).These rela-tionships are commonly illustrated using Venn/Euler diagrams for more than 100 years due to their conciseness and ease of interpreta-tion (Venn,1880;Ho et al.,2021).However,they are not suitable for effective visualization for more than four sets since it would become difficult to discriminate the memberships of most intersection parts.The UpSet plot is a scalable alternative that could support visualiza-tion for 3-40 sets.By keeping only elements shared by all sets or specific to each set,the Flower plot could visualize relationships among tens of sets.Venn network displays items and sets relation-ships together in a network,supplying a more direct way for data exploring.The co-occurrence species or core-enriched genes could be clearly shown in the Venn network.