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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
Inside the Pan-genome - Methods and Software Overview
Luis Carlos Guimarães1, Jolanta Florczak-Wyspianska2, Leandro Benevides de Jesus3
1Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Avenue Antônio Carlos, 6627, Belo Horizonte, Minas Gerais, Brazil;; Department of Genetics, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil;
Abstract:
The number of genomes that have been deposited in databases has increased exponentially after the advent of Next-Generation Sequencing (NGS), which produces high-throughput sequence data; this circumstance has demanded the development of new bioinformatics software and the creation of new areas, such as comparative genomics. In comparative genomics, the genetic content of an organism is compared against other organisms, which helps in the prediction of gene function and coding region sequences, identification of evolutionary events and determination of phylogenetic relationships. However, expanding comparative genomics to a large number of related bacteria, we can infer their lifestyles, gene repertoires and minimal genome size. In this context, a powerful approach called Pan-genome has been initiated and developed. This approach involves the genomic comparison of different strains of the same species, or even genus. Its main goal is to establish the total number of non-redundant genes that are present in a determined dataset. Pan-genome consists of three parts: core genome; accessory or dispensable genome; and species-specific or strain-specific genes. Furthermore, pan-genome is considered to be "open" as long as new genes are added significantly to the total repertoire for each new additional genome and "closed" when the newly added genomes cannot be inferred to significantly increase the total repertoire of the genes. To perform all of the required calculations, a substantial amount of software has been developed, based on orthologous and paralogous gene identification.
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