PanGP: A tool for quickly analyzing bacterial pan-genome profile
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TL;DR: The developed tool, named PanGP, has integrated two sampling algorithms, totally random (TR) and distance guide (DG), and the DG algorithm exhibited overwhelming advantage on accuracy and stability than the TR algorithm.
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Abstract: Summary: Pan-genome analyses have shed light on the dynamics and evolution of bacterial genome from the point of population. The explosive growth of bacterial genome sequence also brought an extremely big challenge to pan-genome profile analysis. We developed a tool, named PanGP, to complete pan-genome profile analysis for large-scale strains efficiently. PanGP has integrated two sampling algorithms, totally random (TR) and distance guide (DG). The DG algorithm drew sample strain combinations on the basis of genome diversity of bacterial population. The performance of these two algorithms have been evaluated on four bacteria populations with strain numbers varying from 30 to 200, and the DG algorithm exhibited overwhelming advantage on accuracy and stability than the TR algorithm. Availability: PanGP was developed with a user-friendly graphic interface and it was available at http://PanGP.big.ac.cn. Contact: xiaojingfa@big.ac.cn or wujy@big.ac.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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References
OrthoMCL: identification of ortholog groups for eukaryotic genomes.
TL;DR: OrthoMCL provides a scalable method for constructing orthologous groups across multiple eukaryotic taxa, using a Markov Cluster algorithm to group (putative) orthologs and paralogs.
Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: Implications for the microbial “pan-genome”
Hervé Tettelin,Vega Masignani,Michael J. Cieslewicz,Claudio Donati,Duccio Medini,Naomi L. Ward,Samuel V. Angiuoli,Jonathan Crabtree,Amanda L. Jones,A. Scott Durkin,Robert T. DeBoy,Tanja M. Davidsen,Marirosa Mora,Maria Scarselli,Immaculada Margarit Y Ros,Jeremy Peterson,Christopher R. Hauser,Jaideep P. Sundaram,William C. Nelson,Ramana Madupu,Lauren M. Brinkac,Robert J. Dodson,M. J. Rosovitz,Steven A. Sullivan,Sean C. Daugherty,Daniel H. Haft,Jeremy D. Selengut,Michelle L. Gwinn,Liwei Zhou,Nikhat Zafar,Hoda Khouri,Diana Radune,George Dimitrov,Kisha Watkins,Kevin J. B. O'Connor,Shannon Smith,Teresa Utterback,Owen White,Craig E. Rubens,Guido Grandi,Lawrence C. Madoff,Dennis L. Kasper,John L. Telford,Michael R. Wessels,Rino Rappuoli,Claire M. Fraser +45 more
TL;DR: The genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans, was generated and Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactic pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.
2.5K
The microbial pan-genome
TL;DR: A decade after the beginning of the genomic era, the question of how genomics can describe a bacterial species has not been fully addressed and the pan-genome, which is composed of a "core genome" containing genes present in all strains, and a "dispensable genome", might be orders of magnitude larger than any single genome.
1.2K
Comparative genomics: the bacterial pan-genome.
TL;DR: A new model of broad applicability is suggested, including examples of its implementation, and the size of the gene repertoire accessible to any given species is characterized together with an estimate of the number of whole genome sequences required for proper analysis.
1K
PGAP: Pan-Genomes Analysis Pipeline
TL;DR: A new pan-genome analysis pipeline (PGAP), which can perform five analytic functions with only one command, including cluster analysis of functional genes, pan- Genome profile analysis, genetic variation analysis offunctional genes, species evolution analysis and function enrichment analysis of gene clusters is developed.
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