Comparison of Genomic Sequences Using the Hamming Distance PDF Download
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Author: Hildete Prisco Pinheiro
Publisher:
ISBN:
Category : Amino acid sequence
Languages : en
Pages : 28
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Book Description
Author: Hildete Prisco Pinheiro
Publisher:
ISBN:
Category : Amino acid sequence
Languages : en
Pages : 28
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Book Description
Author:
Publisher: Newnes
ISBN: 0080930980
Category : Computers
Languages : en
Pages : 613
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Book Description
The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics with Volume 28 dealing with bioinformatics. Every chapter is written by prominent workers in the area to which the volume is devoted. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety of diverse applications and recent developments Contributors are internationally renowned experts in their respective areas
Author: M.G. Akritas
Publisher: Elsevier
ISBN: 0080540376
Category : Mathematics
Languages : en
Pages : 523
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Book Description
The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium.Key features:• algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods
Author: Tapan Kumar Mohanta
Publisher: Frontiers Media SA
ISBN: 2832548113
Category : Science
Languages : en
Pages : 141
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Book Description
The plastid genome has been the most important source of data for the reconstruction of plant phylogeny and taxonomic studies. With the rapid advancement of sequencing technology and bioinformatics, it has become laboratory routine work for obtaining plastid genomes (plastome), and population studies can be performed using chloroplast genome data. However, plastid genomes with specific characters such as pseudogenes, gene losses, gene duplications, gene rearrangements, widespread intra-individual polymorphisms, large-scale horizontal gene transfer, etc. have not been systematically studied. For example, plastomes of several saprophytic plants were confirmed to have lost many photosynthesis genes. The IR region of some plants decreased to several hundred base pairs, disappears completely, increased by dozens of kb, or repeat in the same direction. Most of these chloroplast structural variations are related to import plant evolution or special environmental adaptation, but their mechanisms are still unclear and effective analytical tools are lacking.
Author: Emmanuel Paradis
Publisher: CRC Press
ISBN: 0429882424
Category : Mathematics
Languages : en
Pages : 326
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Book Description
Population Genomics With R presents a multidisciplinary approach to the analysis of population genomics. The methods treated cover a large number of topics from traditional population genetics to large-scale genomics with high-throughput sequencing data. Several dozen R packages are examined and integrated to provide a coherent software environment with a wide range of computational, statistical, and graphical tools. Small examples are used to illustrate the basics and published data are used as case studies. Readers are expected to have a basic knowledge of biology, genetics, and statistical inference methods. Graduate students and post-doctorate researchers will find resources to analyze their population genetic and genomic data as well as help them design new studies. The first four chapters review the basics of population genomics, data acquisition, and the use of R to store and manipulate genomic data. Chapter 5 treats the exploration of genomic data, an important issue when analysing large data sets. The other five chapters cover linkage disequilibrium, population genomic structure, geographical structure, past demographic events, and natural selection. These chapters include supervised and unsupervised methods, admixture analysis, an in-depth treatment of multivariate methods, and advice on how to handle GIS data. The analysis of natural selection, a traditional issue in evolutionary biology, has known a revival with modern population genomic data. All chapters include exercises. Supplemental materials are available on-line (http://ape-package.ird.fr/PGR.html).
Author: Ugo Bastolla
Publisher: Springer Science & Business Media
ISBN: 3540353062
Category : Science
Languages : en
Pages : 375
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Book Description
Recent advances in understanding the thermodynamics of macromolecules, the topological properties of gene networks, the organization and mutation capabilities of genomes, and the structure of populations make it possible to incorporate these key elements into a broader and deeply interdisciplinary view of molecular evolution. This book gives an account of such a new approach, through clear tutorial contributions by leading scientists.
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 1518
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Book Description
Author: Roderic Guigo
Publisher: Springer
ISBN: 3540457844
Category : Computers
Languages : en
Pages : 564
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Book Description
We are pleased to present the proceedings of the Second Workshop on Al- rithms in Bioinformatics (WABI 2002), which took place on September 17-21, 2002 in Rome, Italy. The WABI workshop was part of a three-conference me- ing, which, in addition to WABI, included the ESA and APPROX 2002. The three conferences are jointly called ALGO 2002, and were hosted by the F- ulty of Engineering, University of Rome “La Sapienza”. Seehttp://www.dis. uniroma1.it/ ̃algo02 for more details. The Workshop on Algorithms in Bioinformatics covers research in all areas of algorithmic work in bioinformatics and computational biology. The emphasis is on discrete algorithms that address important problems in molecular biology, genomics,andgenetics,thatarefoundedonsoundmodels,thatarecomputati- ally e?cient, and that have been implemented and tested in simulations and on real datasets. The goal is to present recent research results, including signi?cant work in progress, and to identify and explore directions of future research. Original research papers (including signi?cant work in progress) or sta- of-the-art surveys were solicited on all aspects of algorithms in bioinformatics, including, but not limited to: exact and approximate algorithms for genomics, genetics, sequence analysis, gene and signal recognition, alignment, molecular evolution, phylogenetics, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design.
Author: Liqun Chen
Publisher: Springer Nature
ISBN: 303058951X
Category : Computers
Languages : en
Pages : 774
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Book Description
The two volume set, LNCS 12308 + 12309, constitutes the proceedings of the 25th European Symposium on Research in Computer Security, ESORICS 2020, which was held in September 2020. The conference was planned to take place in Guildford, UK. Due to the COVID-19 pandemic, the conference changed to an online format. The total of 72 full papers included in these proceedings was carefully reviewed and selected from 366 submissions. The papers were organized in topical sections named: database and Web security; system security; network security; software security; machine learning security; privacy; formal modelling; applied cryptography; analyzing attacks; post-quantum cryptogrphy; security analysis; and blockchain.
Author: Ashis Sengupta
Publisher: World Scientific
ISBN: 9812838244
Category : Mathematics
Languages : en
Pages : 492
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Book Description
This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc. Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.
