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IPGA: A handy integrated prokaryotes genome and pan‐genome analysis web service

Dongmei Liu, Yifei Zhang, Guomei Fan, Dingzhong Sun, Xingjiao Zhang, Zhengfei Yu, Jinfeng Wang, Linhuan Wu, Wenyu Shi, Juncai Ma

2022iMeta163 citationsDOIOpen Access PDF

Abstract

Pan-genomics is one of the most powerful means to study genomic variation and obtain a sketch of genes within a defined clade of species. Though there are a lot of computational tools to achieve this, an integrated framework to evaluate their performance and offer the best choice to users has never been achieved. To ease the process of large-scale prokaryotic genome analysis, we introduce Integrated Prokaryotes Genome and pan-genome Analysis (IPGA), a one-stop web service to analyze, compare, and visualize pan-genome as well as individual genomes, that rids users of installing any specific tools. IPGA features a scoring system that helps users to evaluate the reliability of pan-genome profiles generated by different packages. Thus, IPGA can help users ascertain the profiling method that is most suitable for their data set for the following analysis. In addition, IPGA integrates several downstream comparative analysis and genome analysis modules to make users achieve diverse targets.

Topics & Concepts

GenomeComputer scienceGenomicsProfiling (computer programming)Computational biologyWorld Wide WebBiologyGeneGeneticsOperating systemGenomics and Phylogenetic StudiesGenetic diversity and population structureGene expression and cancer classification
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