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10.1186/s12859-017-1518-y http://scihub22266oqcxt.onion/10.1186/s12859-017-1518-y C5324271!5324271!28231760     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Bioinformatics 2017 ; 18 (ä): ä Nephropedia Template TP {{tp|p=28231760|t=2017. Meta-aligner: long-read alignment based on genome statistics |pdf=|usr=}}{{28231760}} gab.com Text Meta-aligner: long-read alignment based on genome statistics JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28231760 #FOAvip Background: Current development of sequencing technologies is towards generating longer and noisier reads. Evidently, accurate alignment of these reads play an important role in any downstream analysis. Similarly, reducing the overall cost of sequencing is related to the time consumption of the aligner. The tradeoff between accuracy and speed is the main challenge in designing long read aligners. Results: We propose Meta-aligner which aligns long and very long reads to the reference genome very efficiently and accurately. Meta-aligner incorporates available short/long aligners as subcomponents and uses statistics from the reference genome to increase the performance. Meta-aligner estimates statistics from reads and the reference genome automatically. Meta-aligner is implemented in C++ and runs in popular POSIX-like operating systems such as Linux. Conclusions: Meta-aligner achieves high recall rates and precisions especially for long reads and high error rates. Also, it improves performance of alignment in the case of PacBio long-reads in comparison with traditional schemes. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-017-1518-y) contains supplementary material, which is available to authorized users. Twit Text FOAVip Meta-aligner: long-read alignment based on genome statistics ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28231760 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28231760 #FOAvip English Wikipedia <ref>{{Cite pmid|28231760}}</ref> Meta-aligner: long-read alignment based on genome statistics #MMPMID28231760 Nashta-ali D; Aliyari A; Ahmadian Moghadam A; Edrisi MA; Motahari SA; Hossein Khalaj B BMC Bioinformatics 2017[]; 18 (ä): ä PMID28231760show ga Background: Current development of sequencing technologies is towards generating longer and noisier reads. Evidently, accurate alignment of these reads play an important role in any downstream analysis. Similarly, reducing the overall cost of sequencing is related to the time consumption of the aligner. The tradeoff between accuracy and speed is the main challenge in designing long read aligners. Results: We propose Meta-aligner which aligns long and very long reads to the reference genome very efficiently and accurately. Meta-aligner incorporates available short/long aligners as subcomponents and uses statistics from the reference genome to increase the performance. Meta-aligner estimates statistics from reads and the reference genome automatically. Meta-aligner is implemented in C++ and runs in popular POSIX-like operating systems such as Linux. Conclusions: Meta-aligner achieves high recall rates and precisions especially for long reads and high error rates. Also, it improves performance of alignment in the case of PacBio long-reads in comparison with traditional schemes. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-017-1518-y) contains supplementary material, which is available to authorized users. äMeta-aligner: long-read alignment based on genome statistics (epmc).pdf DeepDyve Pubget Overpricing