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10.1371/journal.pone.0241291 http://scihub22266oqcxt.onion/10.1371/journal.pone.0241291 33120403!7595403!33120403     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 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 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2020 ; 15 (10): e0241291 Nephropedia Template TP {{tp|p=33120403|t=2020. A chaotic viewpoint-based approach to solve haplotype assembly using hypergraph model |pdf=|usr=}}{{33120403}} gab.com Text A chaotic viewpoint-based approach to solve haplotype assembly using hypergraph model JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33120403 #FOAvip Decreasing the cost of high-throughput DNA sequencing technologies, provides a huge amount of data that enables researchers to determine haplotypes for diploid and polyploid organisms. Although various methods have been developed to reconstruct haplotypes in diploid form, their accuracy is still a challenging task. Also, most of the current methods cannot be applied to polyploid form. In this paper, an iterative method is proposed, which employs hypergraph to reconstruct haplotype. The proposed method by utilizing chaotic viewpoint can enhance the obtained haplotypes. For this purpose, a haplotype set was randomly generated as an initial estimate, and its consistency with the input fragments was described by constructing a weighted hypergraph. Partitioning the hypergraph specifies those positions in the haplotype set that need to be corrected. This procedure is repeated until no further improvement could be achieved. Each element of the finalized haplotype set is mapped to a line by chaos game representation, and a coordinate series is defined based on the position of mapped points. Then, some positions with low qualities can be assessed by applying a local projection. Experimental results on both simulated and real datasets demonstrate that this method outperforms most other approaches, and is promising to perform the haplotype assembly. Twit Text FOAVip A chaotic viewpoint-based approach to solve haplotype assembly using hypergraph model ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33120403 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33120403 #FOAvip English Wikipedia <ref>{{Cite pmid|33120403}}</ref> A chaotic viewpoint-based approach to solve haplotype assembly using hypergraph model #MMPMID33120403 Olyaee MH; Khanteymoori A; Khalifeh K PLoS One 2020[]; 15 (10): e0241291 PMID33120403show ga Decreasing the cost of high-throughput DNA sequencing technologies, provides a huge amount of data that enables researchers to determine haplotypes for diploid and polyploid organisms. Although various methods have been developed to reconstruct haplotypes in diploid form, their accuracy is still a challenging task. Also, most of the current methods cannot be applied to polyploid form. In this paper, an iterative method is proposed, which employs hypergraph to reconstruct haplotype. The proposed method by utilizing chaotic viewpoint can enhance the obtained haplotypes. For this purpose, a haplotype set was randomly generated as an initial estimate, and its consistency with the input fragments was described by constructing a weighted hypergraph. Partitioning the hypergraph specifies those positions in the haplotype set that need to be corrected. This procedure is repeated until no further improvement could be achieved. Each element of the finalized haplotype set is mapped to a line by chaos game representation, and a coordinate series is defined based on the position of mapped points. Then, some positions with low qualities can be assessed by applying a local projection. Experimental results on both simulated and real datasets demonstrate that this method outperforms most other approaches, and is promising to perform the haplotype assembly. |*Algorithms[MESH] |*Genome, Human[MESH] |*Haplotypes[MESH] |*Models, Genetic[MESH] |*Sequence Analysis, DNA[MESH]A chaotic viewpoint-based approach to solve haplotype assembly using h(epmc).pdf DeepDyve Pubget Overpricing