Relevant bibliographies by topics / Phylogenetics

Academic literature on the topic 'Phylogenetics'

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Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Phylogenetics"

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Wiley, E. "Phylogenetics." Scholarpedia 3, no. 12 (2008): 6299. http://dx.doi.org/10.4249/scholarpedia.6299.

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Sleator, Roy D. "Phylogenetics." Archives of Microbiology 193, no. 4 (January 20, 2011): 235–39. http://dx.doi.org/10.1007/s00203-011-0677-x.

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Talianová, M. "Survey of molecular phylogenetics." Plant, Soil and Environment 53, No. 9 (January 7, 2008): 413–16. http://dx.doi.org/10.17221/2290-pse.

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Rapidly increasing amount of biological data necessarily requires techniques that would enable to extract the information hidden in the data. Methods of molecular phylogenetics are commonly used tools as well as objects of continuous research within many fields, such as evolutionary biology, systematics, epidemiology, genomics, etc. The evolutionary process not only determines relationships among species, but also allows prediction of structural, physiological and biochemical properties of biomolecules. The article provides the reader with a brief overview of common methods that are currently employed in the field of molecular phylogenetics.
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Rothfels, Carl J. "Polyploid phylogenetics." New Phytologist 230, no. 1 (January 25, 2021): 66–72. http://dx.doi.org/10.1111/nph.17105.

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Sanderson, Michael J., and Junhyong Kim. "Parametric Phylogenetics?" Systematic Biology 49, no. 4 (December 1, 2000): 817–29. http://dx.doi.org/10.1080/106351500750049860.

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Pillay, Deenan, Andrew Rambaut, Anna Maria Geretti, and Andrew J. Leigh Brown. "HIV phylogenetics." BMJ 335, no. 7618 (September 6, 2007): 460–61. http://dx.doi.org/10.1136/bmj.39315.398843.be.

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McCabe, Declan J. "Competitive Phylogenetics." American Biology Teacher 76, no. 2 (February 1, 2014): 127–31. http://dx.doi.org/10.1525/abt.2014.76.2.10.

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This exercise demonstrates the principle of parsimony in constructing cladograms. Although it is designed using mammalian cranial characters, the activity could be adapted for characters from any group of organisms. Students score categorical traits on skulls and record the data in a spreadsheet. Using the Mesquite software package, students generate arbitrary cladograms and measure tree length. They then move taxa around to reduce tree length. The exercise can become competitive when students report out on tree lengths and try to achieve shorter trees than their peers. The resulting cladograms can be compared with a published mammalian phylogeny. The exercise illustrates phylogenetics, the principle of parsimony, and hypothesis testing using morphological data.
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Bowern, Claire. "Computational Phylogenetics." Annual Review of Linguistics 4, no. 1 (January 14, 2018): 281–96. http://dx.doi.org/10.1146/annurev-linguistics-011516-034142.

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Jofré, Paula, and Payel Das. "Galactic Phylogenetics." Proceedings of the International Astronomical Union 13, S334 (July 2017): 308–9. http://dx.doi.org/10.1017/s1743921317010791.

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AbstractPhylogenetics is a widely used concept in evolutionary biology. It is the reconstruction of evolutionary history by building trees that represent branching patterns and sequences. These trees represent shared history, and it is our contention that this approach can be employed in the analysis of Galactic history. In Galactic archaeology the shared environment is the interstellar medium in which stars form and provides the basis for tree-building as a methodological tool. Using elemental abundances of solar-type stars as a proxy for DNA, we built such an evolutionary tree to study the chemical evolution of the solar neighbourhood and published in Jofré15 et al. (2017). In this proceeding we summarise these results and discuss future prospects.
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Lowenstein, J. M. "Molecular Phylogenetics." Annual Review of Earth and Planetary Sciences 14, no. 1 (May 1986): 71–83. http://dx.doi.org/10.1146/annurev.ea.14.050186.000443.

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Dissertations / Theses on the topic "Phylogenetics"

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Faller, Beáta. "Combinatorial and probabilistic methods in biodiversity theory." Thesis, University of Canterbury. Mathematics and Statistics, 2010. http://hdl.handle.net/10092/3985.

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Phylogenetic diversity (PD) is a measure of species biodiversity quantified by how much of an evolutionary tree is spanned by a subset of species. In this thesis, we study optimization problems that aim to find species sets with maximum PD in different scenarios, and examine random extinction models under various assumptions to predict the PD of species that will still be present in the future. Optimizing PD with Dependencies is a combinatorial optimization problem in which species form an ecological network. Here, we are interested in selecting species sets of a given size that are ecologically viable and that maximize PD. The NP-hardness of this problem is proved and it is established which special cases of the problem are computationally easy and which are computationally hard. It is also shown that it is NP-complete to decide whether the feasible solution obtained by the greedy algorithm is optimal. We formulate the optimization problem as an integer linear program and find exact solutions to the largest food web currently in the empirical literature. In addition, we give a generalization of PD that can be used for example when we do not know the true evolutionary history. Based on this measure, an optimization problem is formulated. We discuss the complexity and the approximability properties of this problem. In the generalized field of bullets model (g-FOB), species are assumed to become extinct with possibly different probabilities, and extinction events are independent. We show that under this model the distribution of future phylogenetic diversity converges to a normal distribution as the number of species grows. When extinction probabilities are influenced by some binary character on the tree, the state-based field of bullets model (s-FOB) represents a more realistic picture. We compare the expected loss of PD under this model to that under the associated g-FOB model and find that the former is always greater than or equal to the latter. It is natural to further generalize the s-FOB model to allow more than one binary character to affect the extinction probabilities. The expected future PD obtained for the resulting trait-dependent field of bullets model (t-FOB) is compared to that for the associated g-FOB model and our previous result is generalized.
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Jirásková, Kristýna. "Metody rekonstrukce fylogenetických superstromů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219518.

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The phylogenetic reconstruction has noted great development in recent decades. The development of computers and device for sequencing biopolymers have been an enormous amount od phylogenetic data from different sources and different types. The scientists are trying to reconstruct a comlet tree of life from these data. The phylogenetic supertree are theoretically this option because a supertree alow a combination of all information gathered so far – in contras to the phylogenetic trees. This thesis present the method of reconstruction supertrees using average konsensus method.
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Kosíř, Kamil. "Metody rekonstrukce fylogenetických superstromů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220860.

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The Phylogenetic reconstruction has seen great development in the last 30 years. Computers have become more powerful and more generally accessible, and computer algorithms more sophisticated. It comes the effort of scientists to reconstruct the entire tree of life from a large amount of phylogenetic data. Just for this purpose are formed phylogenetic supertrees that allow the combination of all information gathered so far. The aim of this work is to find a method to construct supertree that will give correct results.
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Tokac, Nihan. "Efficiency of algorithms in phylogenetics." Thesis, Durham University, 2016. http://etheses.dur.ac.uk/11768/.

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Phylogenetics is the study of evolutionary relationships between species. Phylogenetic trees have long been the standard object used in evolutionary biology to illustrate how a given set of species are related. There are some groups (including certain plant and fish species) for which the ancestral history contains reticulation events, caused by processes that include hybridization, lateral gene transfer, and recombination. For such groups of species, it is appropriate to represent their ancestral history by phylogenetic networks: rooted acyclic digraphs, where arcs represent lines of genetic inheritance and vertices of in-degree at least two represent reticulation events. This thesis is concerned with the efficiency, accuracy, and tractability of mathematical models for phylogenetic network methods. Three important and related measures for summarizing the dissimilarity in phylogenetic trees are the minimum number of hybridization events required to fit two phylogenetic trees onto a single phylogenetic network (the hybridization number), the (rooted) subtree prune and regraft distance (the rSPR distance) and the tree bisection and reconnection distance (the TBR distance) between two phylogenetic trees. The respective problems of computing these measures are known to be NP-hard, but also fixed-parameter tractable in their respective natural parameters. This means that, while they are hard to compute in general, for cases in which a parameter (here the hybridization number and rSPR/TBR distance, respectively) is small, the problem can be solved efficiently even for large input trees. Here, we present new analyses showing that the use of the “cluster reduction” rule – already defined for the hybridization number and the rSPR distance and introduced here for the TBR distance – can transform any O(f(p) · n)-time algorithm for any of these problems into an O(f(k) · n)-time one, where n is the number of leaves of the phylogenetic trees, p is the natural parameter and k is a much stronger (that is, smaller) parameter: the minimum level of a phylogenetic network displaying both trees. These results appear in [9]. Traditional “distance based methods” reconstruct a phylogenetic tree from a matrix of pairwise distances between taxa. A phylogenetic network is a generalization of a phylogenetic tree that can describe evolutionary events such as reticulation and hybridization that are not tree-like. Although evolution has been known to be more accurately modelled by a network than a tree for some time, only recently have efforts been made to directly reconstruct a phylogenetic network from sequence data, as opposed to reconstructing several trees first and then trying to combine them into a single coherent network. In this work, we present a generalisation of the UPGMA algorithm for ultrametric tree reconstruction which can accurately reconstruct ultrametric tree-child networks from the set of distinct distances between each pair of taxa. This result will also appear in [15]. Moreover, we analyse the safety radius of the NETWORKUPGMA algorithm and show that it has safety radius 1/2. This means that if we can obtain accurate estimates of the set of distances between each pair of taxa in an ultrametric tree-child network, then NETWORKUPGMA correctly reconstructs the true network.
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Douady, Christophe Jean Gabriel. "Molecular phylogenetics of the insectivora." Thesis, Queen's University Belfast, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394635.

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Fletcher, W. A. J. "Computational statistics in molecular phylogenetics." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1306705/.

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Simulation remains a very important approach to testing the robustness and accuracy of phylogenetic inference methods. However, current simulation programs are limited, especially concerning realistic models for simulating insertions and deletions (indels). In this thesis I implement a new, portable and flexible application, named INDELible, which can be used to generate nucleotide, amino acid and codon sequence data by simulating indels (under several models of indel length distribution) as well as substitutions (under a rich repertoire of substitution models). In particular, I introduce a simulation study that makes use of one of INDELible’s many unique features to simulate data with indels under codon models that allow the nonsynonymous/synonymous substitution rate ratio to vary among sites and branches. This data is used to quantify, for the first time, the precise effects of indels and alignment errors on the false-positive rate and power of the widely used branch-site test of positive selection. Several alignment programs are used and assessed in this context. Through the simulation experiment, I show that insertions and deletions do not cause the test to generate excessive false positives if the alignment is correct, but alignment errors can lead to unacceptably high false positives. Previous selection studies that use inferior alignment programs are revisited to demonstrate the applicability of my results in real world situations. Further work uses simulated data from INDELible to examine the effects of tree-shape and branch length on the alignment accuracy of several alignment programs, and the impact of alignment errors on different methods of phylogeny reconstruction. In particular, analysis is performed to explore which programs avoid generating the kind of alignment errors that are most detrimental to the process of phylogeny reconstruction.
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Kim, Cheol-Min. "Phylogenetics of Trigynaspida (Acari: Mesostigmata) /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486572165276144.

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Cooke, Patrick Alan. "BioInformatics, Phylogenetics, and Aspartate Transcarbamoylase." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2580/.

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In this research, the necessity of understanding and using bioinformatics is demonstrated using the enzyme aspartate transcarbamoylase (ATCase) as the model enzyme. The first portion of this research focuses on the use of bioinformatics. A partial sequence of the pyrB gene found in Enterococcus faecalis was submitted to GenBank and was analyzed against the contiguous sequence from its own genome project. A BLAST (Basic Local Alignment Search Tool; Atschul, et al., 1990) was performed in order to hypothesize the remaining portion of the gene from the contiguous sequence. This allowed a global comparison to other known aspartate transcarbamoylases (ATCases) and once deduced, a translation of the sequence gave the stop codon and thus the complete sequence of the open reading frame. When this was complete, upstream and downstream primers were designed in order to amplify the gene from genomic DNA. The amplified product was then sequenced and used later in phylogenetic analyses concerning the evolution of ATCase. The second portion of this research involves taking multiple ATCase nucleotide sequences and performing phenetic and phylogenetic analyses of the archaea and eubacter families. From these analyses, ancestral relationships which dictate both structure and function were extrapolated from the data and discussed.
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Buckman, Rebecca S. "Phylogenetics of Thysanoptera (Insecta: Paraneoptera)." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/2999.

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The order Thysanoptera (Insecta: Paraneoptera), commonly known as thrips, includes organisms that exhibit a wide range of social and feeding behaviors that are of particular interest in evolutionary studies. These studies within thrips have been inhibited by the lack of knowledge of thrips relationships. The recognized classification scheme strives to reflect evolutionary relationships and is based upon morphology. Molecular data is next as morphology alone is not enough to resolve relationships. Few molecular studies have been conducted and all were limited in their taxon sampling and genetic sampling. To provide a foundation of future evolutionary studies, the objectives of this study are to (1) test the monophyly of the suborders Terebrantia and Tubulifera, (2) test the monophyly of the families and decipher their relationships, and (3) test the monophyly of the recognized subfamilies. Phylogenies were reconstructed based upon 5299 bp, from five genetic loci: 18S ribosomal DNA, 28S ribosomal DNA, Histone 3 (H3), Tubulin-alpha (TubA) and cytochrome oxidase c subunit I (COI). 99 thrips species from seven of the nine families, all six subfamilies and 70 genera were sequenced. Maximum Parsimony (MP), Maximum Likelihood (ML) and Bayesian analysis all strongly support a monophyletic Tubulifera and Terebrantia. Phlaeothripidae, Aeolothripidae, Melanthripidae and Thripidae are all monophyletic families. The relationship between Aeolothripidae and Merothripidae to the rest of Terebrantia is equivocal. Morphological and molecular data suggest Aeolothripidae or Merothripidae could be the basal lineage of Terebrantia. Four of the six subfamilies are recovered as monophyletic. The two largest subfamilies, Phlaeothripinae and Thripinae, are paraphyletic and require further study to understand relationships within them.
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Farid, Arian. "Molecular Phylogenetics of Floridian Boletes." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7618.

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The boletes are macrofungi which have undergone extensive taxonomic revisions since the advent of molecular tools. To further our understanding of the boletes in peninsular Florida, we sequenced two common Floridian boletes, and analyzed them with molecular phylogenetic tools. Boletus rubricitrinus, a common Florida bolete often found in lawns under Quercus, and likely has a distribution that extends to Texas. Based on ITS and LSU sequences and morphological studies, this species belongs in the genus Pulchroboletus. As the holotype is in poor condition, an epitype is established here. A thorough description of macroscopic and microscopic features is also provided for the species. Fungi in the genus Phylloporus are lamellate boletes that occur worldwide, but primarily in the tropics. Phylloporus boletinoides is a species which was described from Florida, and is found growing near Pinus spp. Based on ITS, LSU, and RPB1 sequences, we establish the novel genus Pseudophylloporus, which is allied to Bothia and Solioccasus. Morphological data are also provided from our collections, and one from Belize. Based on molecular data and a review of bolete literature, the delimitation of this genus suggests that there are three distinct lineages of boletes that have a lamellate hymenium in the Boletaceae. These molecular and morphological data will be useful to further improve our understanding of bolete taxonomy.
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Books on the topic "Phylogenetics"

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Wiley, E. O., and Bruce S. Lieberman. Phylogenetics. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118017883.

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Inc, ebrary, ed. Phylogenetics: Theory and practice of phylogenetics systematics. 2nd ed. Hoboken, N.J: Wiley-Blackwell, 2011.

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Mendoza Straffon, Larissa, ed. Cultural Phylogenetics. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25928-4.

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Warnow, Tandy, ed. Bioinformatics and Phylogenetics. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10837-3.

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W, Martin Joel, Crandall Keith A, and Felder Darryl L, eds. Decapod crustacean phylogenetics. Boca Raton: Taylor & Francis, 2009.

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Bayesian phylogenetics: Methods, algorithms, and applications. Boca Raton: CRC Press/Taylor & Francis, 2014.

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Bollongino, Ruth. Die Herkunft der Hausrinder in Europa: Eine aDNA-Studie an neolithischen Knochenfunden. Bonn, Germany: Dr. Rudolf Habelt GmbH, 2006.

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Paradis, Emmanuel. Analysis of Phylogenetics and Evolution with R. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/978-0-387-35100-1.

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Paradis, Emmanuel. Analysis of Phylogenetics and Evolution with R. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1743-9.

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Grimaldi, David A. Phylogenetics and taxonomy of Zygothrica (Diptera, Drosophilidae). New York: American Museum of Natural History, 1987.

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Book chapters on the topic "Phylogenetics"

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Frank, J. Howard, J. Howard Frank, Michael C. Thomas, Allan A. Yousten, F. William Howard, Robin M. Giblin-davis, John B. Heppner, et al. "Phylogenetics." In Encyclopedia of Entomology, 2863–68. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_2935.

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Erciyes, K. "Phylogenetics." In Computational Biology, 323–49. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24966-7_14.

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Shonkwiler, Ronald W., and James Herod. "Phylogenetics." In Undergraduate Texts in Mathematics, 497–537. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-70984-0_15.

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Leasure, Bruce, David J. Kuck, Sergei Gorlatch, Murray Cole, Gregory R. Watson, Alain Darte, David Padua, et al. "Phylogenetics." In Encyclopedia of Parallel Computing, 1545–54. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_443.

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Mittal, Mamta, Shailendra Singh, and Dolly Sharma. "Phylogenetics." In Bioinformatics and RNA, 39–64. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003107736-3-3.

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Sleator, Roy. "Phylogenetics, Overview." In Encyclopedia of Metagenomics, 1–7. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6418-1_708-9.

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Sleator, Roy. "Phylogenetics, Overview." In Encyclopedia of Metagenomics, 577–82. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7478-5_708.

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Eskov, E. K. "The Origin and Evolution of the Colony in Apidae." In Phylogenetics of Bees, 1–27. Boca Raton, FL : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/b22405-1.

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Seeley, T. D. "The History of Honey Bees in North America." In Phylogenetics of Bees, 222–32. Boca Raton, FL : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/b22405-10.

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Raffiudin, R., and N. I. Shullia. "Phylogenies of Asian Honey Bees." In Phylogenetics of Bees, 28–57. Boca Raton, FL : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/b22405-2.

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Conference papers on the topic "Phylogenetics"

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STANLEY, SCOTT, and BENJAMIN A. SALISBURY. "PHYLOGENETIC GENOMICS AND GENOMIC PHYLOGENETICS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799623_0047.

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Harrington, Kyle I., and Jordan B. Pollack. "Robot phylogenetics." In the 12th annual conference comp. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830761.1830870.

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Soghigian, John. "Molecular phylogenetics ofAedinimosquitoes." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.113652.

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Jordal, Bjarte. "Phylogenetics and evolution of Platypodinae." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.93192.

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Higgs, Paul G. "Linking population genetics to phylogenetics." In Stochastic Models in Biological Sciences. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2008. http://dx.doi.org/10.4064/bc80-0-8.

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Steinbachs, J. E., and P. Kearney. "Phylogenetics in the Post-Genomic Era." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789814447362_0052.

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Turakhia, Yatish. "HiCOMB 2022 Invited Speaker: Pandemic-scale Phylogenetics." In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2022. http://dx.doi.org/10.1109/ipdpsw55747.2022.00035.

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Tulpan, Dan. "Session details: Sequence analysis and molecular phylogenetics." In ISB '10: International Symposium on BioComputing. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3250317.

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Zhang, Jiajie, and Alexandros Stamatakis. "The Multi-Processor Scheduling Problem in Phylogenetics." In 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2012. http://dx.doi.org/10.1109/ipdpsw.2012.86.

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Staszny, Ádám, Péter Takács, Béla Urbányi, Gábor Paulovits, and Árpád Ferincz. "Fish scale shape analyses: in mirror of phylogenetics." In 5th European Congress of Conservation Biology. Jyväskylä: Jyvaskyla University Open Science Centre, 2018. http://dx.doi.org/10.17011/conference/eccb2018/107961.

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Reports on the topic "Phylogenetics"

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Nierzwicki-Bauer, S. A. Phylogenetic relationships among subsurface microorganisms. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6106595.

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Nierzwicki-Bauer, S. A. Phylogenetic relationships among subsurface microorganisms. Progress report. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10106325.

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Bruice, Thomas C. DNG and RNG Phylogenetic Single Cell Probes. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada360479.

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Pace, Norman R. Phylogenetic Analysis of Marine Picoplankton Using rRNA Sequences. Fort Belvoir, VA: Defense Technical Information Center, June 1989. http://dx.doi.org/10.21236/ada209595.

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Lapedes, A. S., B. G. Giraud, L. C. Liu, and G. D. Stormo. Correlated mutations in protein sequences: Phylogenetic and structural effects. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/296863.

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Pace, Norman R. Phylogenetic Analysis of Marine Picoplankton Using Tau RNA Sequences. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada254451.

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Nierzwicki-Bauer, S. A. Phylogenetic relationships among subsurface microorganisms. Project technical progress report. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10171574.

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Balkwill, D. L., and R. H. Reeves. Physiological and phylogenetic study of microbes from geochemically and hydrogeologically diverse subsurface environments. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/5026959.

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Gardner, S., and C. Jaing. Interim Report on Multiple Sequence Alignments and TaqMan Signature Mapping to Phylogenetic Trees. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1047247.

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Marsh, Terence L. Phylogenetic & Physiological Profiling of Microbial Communities of Contaminated Soils/Sediments: Identifying Microbial consortia... Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/824396.

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