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Computational Genomic Signatures

introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational;

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Computational Genomic Signatures

introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational;

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Computational Methods for the Analysis of Genomic Data and Biological Processes

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Advances In Genomic Sequence Analysis And Pattern Discovery

presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods;

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Advanced Computational Methods for Biocomputing & Bioimaging

Computational models have been playing a significant role for the computer-based analysis of biological and biomedical data. Given the;

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Evolutionary Genomics

remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the;

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Evolutionary Genomics

remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the;

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Online and Adaptive Signature Learning for Intrusion Detection

This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Primer To Analysis Of Genomic Data Using

methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic;

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Genomic Signal Processing

to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and;

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Genomic and Proteomic Techniques: In Post Genomics Era

Genomic And Proteomic Techniques describes the high throughput sophisticated computational tools and experimental techniques used in post;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure;

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Introduction To Computational Genomics

Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution;

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Bioinformatics and Computational Biology

This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology;

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Advances in Bioinformatics and Computational Biology

, in August 2008 - co-located with IWGD 2008, the International Workshop on Genomic Databases. The 14 revised full papers and 5 extended abstracts;

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Computational Biology and Bioinformatics: Gene Regulation

for both bioinformaticians and computational biologists in the post-genomic era.;

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Computational Biology and Bioinformatics: Gene Regulation

bioinformaticians and computational biologists in the post-genomic era.;

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A Primer of Molecular Population Genetics

What are the genomic signatures of adaptations in DNA? How often does natural selection dictate changes to DNA? How does the ebb and flow;

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A Primer of Molecular Population Genetics

What are the genomic signatures of adaptations in DNA? How often does natural selection dictate changes to DNA? How does the ebb and flow;

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Population Genomics with R

Population Genomics With R presents a multidisciplinary approach to the analysis of population genomics. The methods treated cover a large;

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Computational Methods For Understanding Bacterial And Archaeal Genomes

Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic;

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Bioinformatics

from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation;

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Psychiatric Genomics

computational analytics, from using animal models in psychiatric genomics and accessing biobanks, to employing computational analysis, genome-wide;

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Computational Biology

Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing;

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