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10.1186/s13059-018-1462-9 http://scihub22266oqcxt.onion/10.1186/s13059-018-1462-9 C6045860!6045860!30005597     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Biol 2018 ; 19 (ä): ä Nephropedia Template TP {{tp|p=30005597|t=2018. From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy |pdf=|usr=}}{{30005597}} gab.com Text From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=30005597 #FOAvip Nanopore sequencing is a rapidly maturing technology delivering long reads in real time on a portable instrument at low cost. Not surprisingly, the community has rapidly taken up this new way of sequencing and has used it successfully for a variety of research applications. A major limitation of nanopore sequencing is its high error rate, which despite recent improvements to the nanopore chemistry and computational tools still ranges between 5% and 15%. Here, we review computational approaches determining the nanopore sequencing error rate. Furthermore, we outline strategies for translation of raw sequencing data into base calls for detection of base modifications and for obtaining consensus sequences.Electronic supplementary material: The online version of this article (10.1186/s13059-018-1462-9) contains supplementary material, which is available to authorized users. Twit Text FOAVip From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=30005597 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30005597 #FOAvip English Wikipedia <ref>{{Cite pmid|30005597}}</ref> From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy #MMPMID30005597 Rang FJ; Kloosterman WP; de Ridder J Genome Biol 2018[]; 19 (ä): ä PMID30005597show ga Nanopore sequencing is a rapidly maturing technology delivering long reads in real time on a portable instrument at low cost. Not surprisingly, the community has rapidly taken up this new way of sequencing and has used it successfully for a variety of research applications. A major limitation of nanopore sequencing is its high error rate, which despite recent improvements to the nanopore chemistry and computational tools still ranges between 5% and 15%. Here, we review computational approaches determining the nanopore sequencing error rate. Furthermore, we outline strategies for translation of raw sequencing data into base calls for detection of base modifications and for obtaining consensus sequences.Electronic supplementary material: The online version of this article (10.1186/s13059-018-1462-9) contains supplementary material, which is available to authorized users. äFrom squiggle to basepair: computational approaches for improving nano(epmc).pdf DeepDyve Pubget Overpricing