作者: 緩和 時(shí)間: 2025-3-21 20:20
1064-3745 expertsThis open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phen作者: 減少 時(shí)間: 2025-3-22 01:10
Review of Special Distributions,d significance of WGA and present an overview of the methods that address it. We also examine the problem of evaluating whole-genome aligners and offer a set of methodological challenges that need to be tackled in order to make most effective use of our rapidly growing databases of whole genomes.作者: 谷物 時(shí)間: 2025-3-22 08:38
https://doi.org/10.1007/978-3-0348-0107-2ine the difficult issue of verifying and benchmarking orthology predictions. Finally, we review typical applications of orthologous genes, groups, and reconciled trees and conclude with thoughts on future methodological developments.作者: faddish 時(shí)間: 2025-3-22 10:53
https://doi.org/10.1007/978-3-030-16609-0arities and differences between the effects of selfing and clonality. In reverse, comparative and population genomic data and approaches help revisiting old questions on the long-term evolution of breeding systems.作者: 過份 時(shí)間: 2025-3-22 14:50 作者: 過份 時(shí)間: 2025-3-22 18:37 作者: cultivated 時(shí)間: 2025-3-22 23:56 作者: 吃掉 時(shí)間: 2025-3-23 03:08 作者: Comprise 時(shí)間: 2025-3-23 07:24 作者: Nomogram 時(shí)間: 2025-3-23 13:34
Probability, Statistics, and Computational Sciencetions. In particular, we discuss efficient inference algorithms and methods for learning these models from partially observed data. Several simple examples are given throughout the text, some of which provide the basis for models that are discussed in more detail in subsequent chapters.作者: 滑動(dòng) 時(shí)間: 2025-3-23 13:55 作者: Vulnerary 時(shí)間: 2025-3-23 21:35 作者: Acetaminophen 時(shí)間: 2025-3-24 00:10
The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolutionsity of users. This chapter introduces the different kinds of networks based on sequence similarity that are already available to tackle a wide range of biological questions, including sequence similarity networks, gene-sharing networks and bipartite graphs, and a guide for their construction and analyses.作者: 不足的東西 時(shí)間: 2025-3-24 05:08 作者: 低位的人或事 時(shí)間: 2025-3-24 07:21 作者: atopic 時(shí)間: 2025-3-24 13:35 作者: finite 時(shí)間: 2025-3-24 16:34
Modern Phylogenomics: Building Phylogenetic Trees Using the Multispecies Coalescent Modelt from the species tree, is one such region where many so-called “coalescent” methods are inconsistent. Second-generation implementations of the MSC employed Bayesian or likelihood models; these are consistent in all regions of gene tree space, but Bayesian methods in particular are incapable of han作者: A精確的 時(shí)間: 2025-3-24 22:44 作者: EXULT 時(shí)間: 2025-3-25 01:38
Bayesian Molecular Clock Dating Using Genome-Scale Datasetsut the analysis. We pay particular attention to how to set up the analysis and the priors and how to diagnose the MCMC algorithm used to obtain the posterior estimates of divergence times and evolutionary rates.作者: 拖債 時(shí)間: 2025-3-25 04:55
Selection Acting on Genomesnlarged our understanding of the genome evolution of various species. In this chapter, we will focus on methods to detect selection on the genome. In particular, we will discuss probabilistic models and how they have changed with the advent of new genome-wide data now available.作者: 殺蟲劑 時(shí)間: 2025-3-25 08:08 作者: Cpr951 時(shí)間: 2025-3-25 12:17
Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forcesct in viruses, and, of course, viruses have clear biomedical relevance. Recent commoditization of affordable high-throughput sequencing has made it possible to generate truly massive genomic data sets, on which powerful and accurate methods can yield a very detailed depiction of when, where, and (so作者: observatory 時(shí)間: 2025-3-25 19:11
Evolution of Protein Domain Architecturesevolution and how these have been inferred from distributions of extant domain arrangements. Following this, we review inferences of ancestral domain architecture and the conclusions concerning domain architecture evolution mechanisms that can be drawn from these. Finally, we examine whether all kno作者: INERT 時(shí)間: 2025-3-25 22:47 作者: PLIC 時(shí)間: 2025-3-26 01:50 作者: 閑逛 時(shí)間: 2025-3-26 06:35 作者: ALTER 時(shí)間: 2025-3-26 09:26 作者: 凈禮 時(shí)間: 2025-3-26 14:01 作者: 不知疲倦 時(shí)間: 2025-3-26 20:35 作者: 收養(yǎng) 時(shí)間: 2025-3-27 00:57 作者: apropos 時(shí)間: 2025-3-27 03:29
Mimickers, Misleads, and Confounders,evolution and how these have been inferred from distributions of extant domain arrangements. Following this, we review inferences of ancestral domain architecture and the conclusions concerning domain architecture evolution mechanisms that can be drawn from these. Finally, we examine whether all kno作者: 束縛 時(shí)間: 2025-3-27 05:29
Introduction to Genome Biology and Diversityhe genome can be viewed as both a structural and an informational unit of biological diversity and explicitly define our intended meaning of genetic information. A brief overview of the characteristic features of bacterial, archaeal, and eukaryotic cell types and viruses sets the stage for a review 作者: Pituitary-Gland 時(shí)間: 2025-3-27 11:08 作者: Stress 時(shí)間: 2025-3-27 17:41 作者: HERTZ 時(shí)間: 2025-3-27 18:18
Whole-Genome Alignmentof both colinear sequence alignment and gene orthology prediction and is typically more challenging to address than either of these tasks due to the size and complexity of whole genomes. Despite the difficulty of this problem, numerous methods have been developed for its solution because WGAs are va作者: 確定的事 時(shí)間: 2025-3-28 00:20 作者: bacteria 時(shí)間: 2025-3-28 05:30 作者: BOGUS 時(shí)間: 2025-3-28 07:38 作者: 事與愿違 時(shí)間: 2025-3-28 12:05 作者: carotid-bruit 時(shí)間: 2025-3-28 16:09
The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolution bioinformatic analyses. Network-based methods are increasingly used to complement phylogenetic analysis in studies in molecular evolution, including comparative genomics, classification, and ecological studies. Using network methods, the vertical and horizontal relationships between all genes or ge作者: Grating 時(shí)間: 2025-3-28 21:11 作者: Stress-Fracture 時(shí)間: 2025-3-28 23:55
Genome Evolution in Outcrossing vs. Selfing vs. Asexual Speciescause they affect many population genetic processes and thus genome evolution. We review theoretical predictions and empirical evidence about molecular evolutionary processes under three distinct breeding systems—outcrossing, selfing, and asexuality. Breeding systems may have a profound impact on ge作者: RLS898 時(shí)間: 2025-3-29 06:55 作者: ABASH 時(shí)間: 2025-3-29 11:05
Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship Between Mocit goal of detecting the signature of positive Darwinian selection. However, the validity and success of CSMs used in conjunction with the maximum likelihood (ML) framework is sometimes challenged with claims that the approach might too often support false conclusions. In this chapter, we use a cas作者: 自制 時(shí)間: 2025-3-29 14:32
Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forcesith their typically short and largely coding genomes, experience strong and diverse selective forces, sometimes acting on timescales that can be directly measured. These selection pressures emerge from an antagonistic interplay between rapidly changing fitness requirements (immune and antiviral resp作者: 太空 時(shí)間: 2025-3-29 17:25 作者: 膽大 時(shí)間: 2025-3-29 19:55
https://doi.org/10.1007/978-1-4939-9074-0Genome biology; Genotype and phenotype; Probability and statistics; Sequence homology; Molecular evoluti作者: 搖曳的微光 時(shí)間: 2025-3-30 02:40
Oliver Keszocze,Robert Wille,Rolf Drechslerhe genome can be viewed as both a structural and an informational unit of biological diversity and explicitly define our intended meaning of genetic information. A brief overview of the characteristic features of bacterial, archaeal, and eukaryotic cell types and viruses sets the stage for a review 作者: Encephalitis 時(shí)間: 2025-3-30 06:48 作者: daredevil 時(shí)間: 2025-3-30 09:17
Exact Solutions and Scalar Fields in Gravityf the use of likelihood-based methods, review the standard DNA substitution models, and introduce how model choice operates. We also present recent developments in inferring absolute divergence times and rates on a phylogeny, before showing how state-of-the-art models take inspiration from diffusion作者: Repetitions 時(shí)間: 2025-3-30 14:24 作者: ARC 時(shí)間: 2025-3-30 16:59 作者: COLIC 時(shí)間: 2025-3-30 23:29
,Exakte L?sungsverfahren aus der Literatur,lenge in the process of genome analysis and annotation. On the other hand, they are very interesting biological subjects involved in many cellular processes. Here we present an overview of transposable elements biodiversity, and we discuss different approaches to transposable elements detection and 作者: restrain 時(shí)間: 2025-3-31 02:56
The Analysis of Starch Derivatives,C is best thought of as a special case of so-called “multispecies network coalescent” models, in which gene flow is allowed among branches of the tree, whereas MSC methods assume there is no gene flow between diverging species. Early implementations of the MSC, such as “parsimony” or “democratic vot作者: Prologue 時(shí)間: 2025-3-31 07:17 作者: Excitotoxin 時(shí)間: 2025-3-31 12:03
Dielectric Yarns, Fabrics and Coatings, bioinformatic analyses. Network-based methods are increasingly used to complement phylogenetic analysis in studies in molecular evolution, including comparative genomics, classification, and ecological studies. Using network methods, the vertical and horizontal relationships between all genes or ge作者: 初學(xué)者 時(shí)間: 2025-3-31 14:29 作者: installment 時(shí)間: 2025-3-31 18:59
https://doi.org/10.1007/978-3-030-16609-0cause they affect many population genetic processes and thus genome evolution. We review theoretical predictions and empirical evidence about molecular evolutionary processes under three distinct breeding systems—outcrossing, selfing, and asexuality. Breeding systems may have a profound impact on ge作者: Pageant 時(shí)間: 2025-3-31 23:06
Empirical Research and Results,the population. Most mutations are lethal or have negative fitness consequences for the organism. Others have essentially no effect on organismal fitness and can become fixed through the neutral stochastic process known as random drift. However, mutations may also produce a selective advantage that
