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10.1186/s13015-016-0076-6 http://scihub22266oqcxt.onion/10.1186/s13015-016-0076-6 C4862142!4862142 !27168761     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27168761 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Algorithms+Mol+Biol 2016 ; 11 (ä): 12 Nephropedia Template TP {{tp|p=27168761 |t=2016. Circular sequence comparison: algorithms and applications |pdf=|usr=}}{{27168761 }} gab.com Text Circular sequence comparison: algorithms and applications JO: Algorithms Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=27168761 #FOAvip BACKGROUND: Sequence comparison is a fundamental step in many important tasks in bioinformatics; from phylogenetic reconstruction to the reconstruction of genomes. Traditional algorithms for measuring approximation in sequence comparison are based on the notions of distance or similarity, and are generally computed through sequence alignment techniques. As circular molecular structure is a common phenomenon in nature, a caveat of the adaptation of alignment techniques for circular sequence comparison is that they are computationally expensive, requiring from super-quadratic to cubic time in the length of the sequences. RESULTS: In this paper, we introduce a new distance measure based on q-grams, and show how it can be applied effectively and computed efficiently for circular sequence comparison. Experimental results, using real DNA, RNA, and protein sequences as well as synthetic data, demonstrate orders-of-magnitude superiority of our approach in terms of efficiency, while maintaining an accuracy very competitive to the state of the art. Twit Text FOAVip Circular sequence comparison: algorithms and applications ????Algorithms Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=27168761 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27168761 #FOAvip English Wikipedia <ref>{{Cite pmid|27168761 }}</ref> Circular sequence comparison: algorithms and applications #MMPMID27168761 Grossi R ; Iliopoulos CS ; Mercas R ; Pisanti N ; Pissis SP ; Retha A ; Vayani F Algorithms Mol Biol 2016[]; 11 (ä): 12 PMID27168761 show ga BACKGROUND: Sequence comparison is a fundamental step in many important tasks in bioinformatics; from phylogenetic reconstruction to the reconstruction of genomes. Traditional algorithms for measuring approximation in sequence comparison are based on the notions of distance or similarity, and are generally computed through sequence alignment techniques. As circular molecular structure is a common phenomenon in nature, a caveat of the adaptation of alignment techniques for circular sequence comparison is that they are computationally expensive, requiring from super-quadratic to cubic time in the length of the sequences. RESULTS: In this paper, we introduce a new distance measure based on q-grams, and show how it can be applied effectively and computed efficiently for circular sequence comparison. Experimental results, using real DNA, RNA, and protein sequences as well as synthetic data, demonstrate orders-of-magnitude superiority of our approach in terms of efficiency, while maintaining an accuracy very competitive to the state of the art. äCircular sequence comparison: algorithms and applications (epmc).pdf DeepDyve Pubget Overpricing