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Chaofang Zhong, Chaoyun Chen
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10.1016/j.drudis.2007.04.008
10.1016/j.drudis.2007.04.008
Microbial comparative pan-genomics using binomial mixture models
10.1186/1471-2164-10-385 · 2009
The bacterial pan-genome:a new paradigm in microbiology
2010
10.1016/j.gde.2005.09.006
10.1016/j.gde.2005.09.006
Evolution of the core and pan-genome of Streptococcus: positive selection, recombination, and genome composition
10.1186/gb-2007-8-5-r71 · 2007
Pan-genome analyses of model fungal species
2019
10.3389/fmicb.2018.03187
10.3389/fmicb.2018.03187
10.1016/j.mib.2014.11.016
10.1016/j.mib.2014.11.016
Comparative genomics of the core and accessory genomes of 48 Sinorhizobium strains comprising five genospecies
10.1186/gb-2013-14-2-r17 · 2013
Comparative genomics reveals the core and accessory genomes of streptomyces species
10.4014/jmb.1504.04008 · 2015
Structure and dynamics of the pan-genome of Streptococcus pneumoniae and closely related species
10.1186/gb-2010-11-10-r107 · 2010
10.1073/pnas.0506758102
10.1073/pnas.0506758102
Legionella pneumophila pangenome reveals strain-specific virulence factors
10.1186/1471-2164-11-181 · 2010
A brief review of software tools for pangenomics
10.1016/j.gpb.2015.01.007 · 2015
Pan-genome storage and analysis techniques
10.1007/978-1-4939-7463-4_2 · 2018
PGAT: a multistrain analysis resource for microbial genomes
10.1093/bioinformatics/btr418 · 2011
10.1093/bioinformatics/btr655
10.1093/bioinformatics/btr655
Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions
10.1186/1471-2105-11-461 · 2010
Unresolved referenced work
Kept as external metadata until matched
Cloning the soil metagenome: a strategy for accessing the genetic and functional diversity of uncultured microorganisms
10.1128/aem.66.6.2541-2547.2000 · 2000
10.1038/nature11234
10.1038/nature11234
10.1038/nature05414
10.1038/nature05414
10.1101/gr.131029.111
10.1101/gr.131029.111
10.1038/nmeth.3589
10.1038/nmeth.3589
10.1186/gb-2014-15-3-r46
10.1186/gb-2014-15-3-r46
10.1038/s41592-018-0176-y
10.1038/s41592-018-0176-y
Strain-level metagenomic assignment and compositional estimation for long reads with MetaMaps
10.1038/s41467-019-10934-2 · 2019
10.1101/gr.236000.118
10.1101/gr.236000.118
10.1007/978-3-030-38281-0_9
10.1007/978-3-030-38281-0_9
10.1093/nar/gky901
10.1093/nar/gky901
10.1038/nmeth.3802
10.1038/nmeth.3802
PanFP: pangenome-based functional profiles for microbial communities
10.1186/s13104-015-1462-8 · 2015
10.1128/aem.00794-07
10.1128/aem.00794-07
10.1101/gr.258640.119
10.1101/gr.258640.119
10.1093/bioinformatics/btu017
10.1093/bioinformatics/btu017
10.1093/bioinformatics/btv421
10.1093/bioinformatics/btv421
10.1093/nar/gkx977
10.1093/nar/gkx977
Comprehensive analysis reveals the evolution and pathogenicity of aeromonas, viewed from both single isolated species and microbial communities
10.1128/msystems.00252-19 · 2019
Pan-genome analyses of 24 Shewanella strains re-emphasize the diversification of their functions yet evolutionary dynamics of metal-reducing pathway
10.1186/s13068-018-1201-1 · 2018
10.1093/gbe/evu127
10.1093/gbe/evu127
10.1038/nmeth.4469
10.1038/nmeth.4469 · doi-reference
Genomic and metabolic features of Lactobacillus sakei as revealed by its pan-genome and the metatranscriptome of kimchi fermentation
10.1016/j.fm.2019.103341 · doi-reference
10.1186/1471-2164-15-404
10.1186/1471-2164-15-404 · doi-reference
10.1101/2019.12.19.882753
10.1101/2019.12.19.882753 · doi-reference
Potential and pitfalls of eukaryotic metagenome skimming: a test case for lichens
10.1111/1755-0998.12463 · doi-reference
10.1038/s41587-018-0008-8
10.1038/s41587-018-0008-8 · doi-reference
Enterohaemorrhagic Escherichia coli in human medicine
10.1016/j.ijmm.2005.06.009 · doi-reference
10.1101/2020.04.29.069278
10.1101/2020.04.29.069278 · doi-reference
10.1016/j.cell.2019.01.001
10.1016/j.cell.2019.01.001 · doi-reference
10.1038/s41586-019-0965-1
10.1038/s41586-019-0965-1 · doi-reference
The Wolbachia mobilome in Culex pipiens includes a putative plasmid
10.1038/s41467-019-08973-w · doi-reference
10.7717/peerj.7548
10.7717/peerj.7548 · doi-reference
10.1093/gigascience/giy121
10.1093/gigascience/giy121 · doi-reference
10.1016/j.chom.2018.06.007
10.1016/j.chom.2018.06.007 · doi-reference
10.1073/pnas.1000071108
10.1073/pnas.1000071108 · doi-reference
10.1093/bioinformatics/bty830
10.1093/bioinformatics/bty830 · doi-reference
Global distribution patterns and pangenomic diversity of the candidate phylum “Latescibacteria” (WS3)
10.1128/aem.00521-17 · doi-reference
Pan-genome analysis of Bacillus for microbiome profiling
10.1038/s41598-017-11385-9 · doi-reference
10.7717/peerj.4320
10.7717/peerj.4320 · doi-reference
10.1101/2020.05.01.072496
10.1101/2020.05.01.072496 · doi-reference
Metagenomic analysis reveals wastewater treatment plants as hotspots of antibiotic resistance genes and mobile genetic elements
10.1016/j.watres.2017.07.002 · doi-reference
10.1038/ismej.2013.254
10.1038/ismej.2013.254 · doi-reference
10.1016/j.copbio.2004.04.005
10.1016/j.copbio.2004.04.005 · doi-reference
10.1126/science.aan4834
10.1126/science.aan4834 · doi-reference
10.1016/j.cell.2012.01.035
10.1016/j.cell.2012.01.035 · doi-reference
10.1126/science.1208344
10.1126/science.1208344 · doi-reference
10.1038/s41564-017-0072-8
10.1038/s41564-017-0072-8 · doi-reference
10.1016/j.chom.2015.08.005
10.1016/j.chom.2015.08.005 · doi-reference
10.1128/jb.00542-10
10.1128/jb.00542-10 · doi-reference
10.1126/science.1171700
10.1126/science.1171700 · doi-reference
Microbial ecology of human skin in health and disease
10.1046/j.0022-202x.2001.00039.x · doi-reference
10.1126/science.1177486
10.1126/science.1177486 · doi-reference
10.1073/pnas.1011383107
10.1073/pnas.1011383107 · doi-reference
10.1101/gr.5969107
10.1101/gr.5969107 · doi-reference
10.1093/bioinformatics/btv033
10.1093/bioinformatics/btv033 · doi-reference
10.1016/j.chom.2014.08.014
10.1016/j.chom.2014.08.014 · doi-reference
10.1146/annurev.genet.38.072902.091216
10.1146/annurev.genet.38.072902.091216 · doi-reference
10.1073/pnas.1501049112
10.1073/pnas.1501049112 · doi-reference
10.1371/journal.pgen.0030231
10.1371/journal.pgen.0030231 · doi-reference