Algorithms for Molecular Biology : AMB 
This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.
This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
The solution surface of the Li-Stephens haplotype copying model
Algorithms Mol Biol. 2023 Aug 9;18(1):12. doi: 10.1186/s13015-023-00237-z.ABSTRACTThe Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromosomes found in a population. In the frequentist setting which is the focus of this paper, the output of LS is a "copying path" through chromosome space. The behavior of LS depends crucially on two user-specified parameters, [Formula: see text] and [Formula: see text], which are respectively interp...
Source: Algorithms for Molecular Biology : AMB - August 9, 2023 Category: Molecular Biology Authors: Yifan Jin Jonathan Terhorst Source Type: research
phyBWT2: phylogeny reconstruction via eBWT positional clustering
CONCLUSIONS: Based on the results of the experiments on sequencing data, we conclude that our method can produce trees of quality comparable to the benchmark phylogeny by handling datasets of different types (short reads, contigs, or entire genomes). Overall, the experiments confirm the effectiveness of phyBWT2 that improves the performance of its previous version phyBWT, while preserving the accuracy of the results.PMID:37537624 | PMC:PMC10399073 | DOI:10.1186/s13015-023-00232-4 (Source: Algorithms for Molecular Biology : AMB)
Source: Algorithms for Molecular Biology : AMB - August 3, 2023 Category: Molecular Biology Authors: Veronica Guerrini Alessio Conte Roberto Grossi Gianni Liti Giovanna Rosone Lorenzo Tattini Source Type: research
