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Biological Sequence Analysis Using the SeqAn C++ Library

Sequence Analysis Using the SeqAn C++ Library covers the SeqAn library, its documentation, and the supporting infrastructure. The first part;

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Biological Sequence Analysis Using the SeqAn C++ Library

Sequence Analysis Using the SeqAn C++ Library covers the SeqAn library, its documentation, and the supporting infrastructure. The first part of the;

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Genome-Scale Algorithm Design

High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address;

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Problems And Solutions In Biological Sequence Analysis

problem set includes all of the problems offered in Biological Sequence Analysis, by Durbin et al. (Cambridge, 1998), widely adopted as a required;

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Problems and Solutions in Biological Sequence Analysis

problem set includes all of the problems offered in Biological Sequence Analysis, by Durbin et al. (Cambridge, 1998), widely adopted as a required;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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EMBOSS User's Guide

database searching and sequence retrieval, motif identification and pattern analysis and much more. The EMBOSS User's Guide is the official and;

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Multiple Biological Sequence Alignment S

Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the;

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Bioinformatics: Volume I

. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that;

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BIOS Instant Notes in Bioinformatics

computational basis of bioinformatics, using biological examples wherever possible; the third describing applications, giving specific detail and;

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Fundamentals of Bioinformatics and Computational Biology

appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis;

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Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and;

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Blast

Sequence similarity is a powerful tool for discovering biological function. Just as the ancient Greeks used comparative anatomy to;

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Bioinformatics

/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome;

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Scholarly Publishing

process. Using an analysis of the past 100 years, it also makes predications regarding future trends and the roles of the publishing and library;

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Genomics & Bioinformatics

bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through;

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Genomics And Bioinformatics

bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through;

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Structural Bioinformatics Handbook

Structural bioinformatics is a rapidly progressing field that deals with the determination and analysis of macromolecular biological;

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Protein Secondary Structure Prediction

directly from its sequence data. Also, a Fuzzy Inference System was developed using the same test set for comparing the performance of ANFIS model;

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Molecular phylogenetic studies of bitter gourd (Momordica charantia) and ivy gourd (Coccinia grandis) and family comparison using rbcL sequence analysis

Molecular Phylogenetic Studies of Bitter Gourd (Momordica Charantia) and Ivy Gourd (Coccinia Grandis) and Family Comparison Using Rbcl;

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Genome Analysis and Bioinformatics

in biological databases. It then covers the basic principals involved in sequence analysis and softwares applications, and offers practical exercises;

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Mathematica for Bioinformatics

from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic;

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Practical Bioinformatics

analysis to answer biological questions. It is written for courses that have a practical, hands-on element and contains many exercises (for example;

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Algorithms for Computational Biology

organized in the following topical sections: biological networks and modelling; biological structure processing; phylogenetics; and sequence;

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Computational Systems Bioinformatics - Methods And Biomedical Applications

of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data;

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Algorithms for Computational Biology

submissions. They are organized in the following topical sections: Biological networks and graph algorithms; genome rearrangement, assembly and;

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