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10.1093/bioinformatics/btu756 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btu756 C4253837!4253837!25398610     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2014 ; 30 (24): 3476-83 Nephropedia Template TP {{tp|p=25398610|t=2014. SplitMEM: a graphical algorithm for pan-genome analysis with suffix skips |pdf=|usr=}}{{25398610}} gab.com Text SplitMEM: a graphical algorithm for pan-genome analysis with suffix skips JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=25398610 #FOAvip Motivation: Genomics is expanding from a single reference per species paradigm into a more comprehensive pan-genome approach that analyzes multiple individuals together. A compressed de Bruijn graph is a sophisticated data structure for representing the genomes of entire populations. It robustly encodes shared segments, simple single-nucleotide polymorphisms and complex structural variations far beyond what can be represented in a collection of linear sequences alone.Results: We explore deep topological relationships between suffix trees and compressed de Bruijn graphs and introduce an algorithm, splitMEM, that directly constructs the compressed de Bruijn graph in time and space linear to the total number of genomes for a given maximum genome size. We introduce suffix skips to traverse several suffix links simultaneously and use them to efficiently decompose maximal exact matches into graph nodes. We demonstrate the utility of splitMEM by analyzing the nine-strain pan-genome of Bacillus anthracis and up to 62 strains of Escherichia coli, revealing their core-genome properties.Availability and implementation: Source code and documentation available open-source http://splitmem.sourceforge.net.Contact:mschatz@cshl.eduSupplementary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip SplitMEM: a graphical algorithm for pan-genome analysis with suffix skips ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=25398610 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25398610 #FOAvip English Wikipedia <ref>{{Cite pmid|25398610}}</ref> SplitMEM: a graphical algorithm for pan-genome analysis with suffix skips #MMPMID25398610 Marcus S; Lee H; Schatz MC Bioinformatics 2014[Dec]; 30 (24): 3476-83 PMID25398610show ga Motivation: Genomics is expanding from a single reference per species paradigm into a more comprehensive pan-genome approach that analyzes multiple individuals together. A compressed de Bruijn graph is a sophisticated data structure for representing the genomes of entire populations. It robustly encodes shared segments, simple single-nucleotide polymorphisms and complex structural variations far beyond what can be represented in a collection of linear sequences alone.Results: We explore deep topological relationships between suffix trees and compressed de Bruijn graphs and introduce an algorithm, splitMEM, that directly constructs the compressed de Bruijn graph in time and space linear to the total number of genomes for a given maximum genome size. We introduce suffix skips to traverse several suffix links simultaneously and use them to efficiently decompose maximal exact matches into graph nodes. We demonstrate the utility of splitMEM by analyzing the nine-strain pan-genome of Bacillus anthracis and up to 62 strains of Escherichia coli, revealing their core-genome properties.Availability and implementation: Source code and documentation available open-source http://splitmem.sourceforge.net.Contact:mschatz@cshl.eduSupplementary information:Supplementary data are available at Bioinformatics online. äSplitMEM: a graphical algorithm for pan-genome analysis with suffix sk(epmc).pdf DeepDyve Pubget Overpricing