panX: pan-genome analysis and exploration
نویسندگان
چکیده
منابع مشابه
panX: pan-genome analysis and exploration
Horizontal transfer, gene loss, and duplication result in dynamic bacterial genomes shaped by a complex mixture of different modes of evolution. Closely related strains can differ in the presence or absence of many genes, and the total number of distinct genes found in a set of related isolates-the pan-genome-is often many times larger than the genome of individual isolates. We have developed a...
متن کاملPan-genome Analysis of the Genus Serratia
Pan-genome analysis is a standard procedure to decipher genome heterogeneity and diversification of bacterial species. Specie evolution is traced by defining and comparing the core (conserved), accessory (dispensable) and unique (strain-specific) gene pool with other strains of interest. Here, we present pan-genome analysis of the genus Serratia, comprising of a dataset of 100 genomes. The isol...
متن کاملSequence analysis Roary: rapid large-scale prokaryote pan genome analysis
Summary: A typical prokaryote population sequencing study can now consist of hundreds or thousands of isolates. Interrogating these datasets can provide detailed insights into the genetic structure of prokaryotic genomes. We introduce Roary, a tool that rapidly builds large-scale pan genomes, identifying the core and accessory genes. Roary makes construction of the pan genome of thousands of pr...
متن کاملInsights into the maize pan-genome and pan-transcriptome.
Genomes at the species level are dynamic, with genes present in every individual (core) and genes in a subset of individuals (dispensable) that collectively constitute the pan-genome. Using transcriptome sequencing of seedling RNA from 503 maize (Zea mays) inbred lines to characterize the maize pan-genome, we identified 8681 representative transcript assemblies (RTAs) with 16.4% expressed in al...
متن کاملGenome Data Exploration Using Correspondence Analysis
Recent developments of sequencing technologies that allow the production of massive amounts of genomic and genotyping data have highlighted the need for synthetic data representation and pattern recognition methods that can mine and help discovering biologically meaningful knowledge included in such large data sets. Correspondence analysis (CA) is an exploratory descriptive method designed to a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2017
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gkx977