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Computational genomic signatures

By: Nalbantoglu, Ozkan Ufuk.
Contributor(s): Sayood, Khalid.
Material type: materialTypeLabelBookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on biomedical engineering: # 41.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2011Description: 1 electronic text (xii, 113 p.) : ill., digital file.ISBN: 9781608451463 (electronic bk.).Subject(s): Bioinformatics | Genomics | Genome | Markov models | Minimum description length | Kolmogorov complexity | Phylogeny | Classification | Horizontal gene transfer | Metagenomics | BioinformaticsDDC classification: 572.80285 Online resources: Abstract with links to resource Also available in print.
Contents:
1. Genome signatures, definition and background -- Definition of computational genomic signatures -- Compositional features as genome signatures -- GC content -- Amino acid content -- Synonymous Codon usage -- Methods of characterization embedded in the initial work on DNA -- Dinucleotide odds ratio as a genome signature -- Chaos game representation -- A unified framework of genome signatures: functions of oligonucleotide -- Occurrence -- Natural selection of proteins vs. directional mutational pressures --
2. Other computational characterizations as genome signatures -- Long-term correlation statistics as genome signatures -- DNA as an autoregressive process -- Average mutual information profiles -- Signatures based on composition vectors -- Markov models -- Abundance profiles of oligonucleotides -- Oligonucleotide frequency derived error gradient (OFDEG) -- DNA entropy -- Methods of estimating DNA entropy -- Historical notes on biological complexity and DNA entropy -- Correlation of DNA entropy with OFDEG signatures --
3. Measuring distance of biological sequences using genome signatures -- Classical methods: euclidian distances and correlation statistics -- Distances based on model fitness -- Likelihood functions -- Indexing based on oligonucleotide abundance -- Minimum description length calculation based on linguistic models --
4. Applications: phylogeny construction -- A half century of molecular phylogenetics and the need for universal methods -- Phylogenetic signals in genome signatures -- Phylogeny with information theoretic distance measures and implicit genome signatures -- Phylogeny construction by genome signatures using genomic fragments -- Drawbacks of genome-signature-based phylogeny construction --
5. Applications: metagenomics -- Community analysis of environmental samples -- Sampling and sequencing environmental samples -- Exploration of biodiversity in a metagenome -- Metagenome assembly -- Metagenome binning -- Similarity search-based binning methods -- Supervised compositional binning methods -- Unsupervised methods --
6. Applications: horizontal DNA transfer detection -- Horizontal gene transfer -- Horizontal gene transfer in prokaryotes -- Horizontal gene transfer in eukaryotes -- Horizontal gene transfer detection -- Comparative methods -- Methods based on genome signatures -- Performance and limitations of genome signatures for horizontal transfer detection -- Compositional similarity of host and donor genomes -- Other challenges limiting the performance of genome-signature-based horizontal transfer detection -- Amelioration and deviation from general genomic signature trends --
Bibliography -- Authors' biography.
Abstract: Recent advances in development of sequencing technology has resulted in a deluge of genomic data. In order to make sense of this data, there is an urgent need for algorithms for data processing and quantitative reasoning. An emerging in silico approach, called computational genomic signatures, addresses this need by representing global species-specific features of genomes using simple mathematical models. This text introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for computing the distance or similarity between models. Therefore, a discussion of sequence similarity/distance measurement in the context of computational genomic signatures is presented. The remainder of the text covers various applications of computational genomic signatures in the areas of metagenomics, phylogenetics and the detection of horizontal gene transfer.
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E books E books PK Kelkar Library, IIT Kanpur
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Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 85-112).

1. Genome signatures, definition and background -- Definition of computational genomic signatures -- Compositional features as genome signatures -- GC content -- Amino acid content -- Synonymous Codon usage -- Methods of characterization embedded in the initial work on DNA -- Dinucleotide odds ratio as a genome signature -- Chaos game representation -- A unified framework of genome signatures: functions of oligonucleotide -- Occurrence -- Natural selection of proteins vs. directional mutational pressures --

2. Other computational characterizations as genome signatures -- Long-term correlation statistics as genome signatures -- DNA as an autoregressive process -- Average mutual information profiles -- Signatures based on composition vectors -- Markov models -- Abundance profiles of oligonucleotides -- Oligonucleotide frequency derived error gradient (OFDEG) -- DNA entropy -- Methods of estimating DNA entropy -- Historical notes on biological complexity and DNA entropy -- Correlation of DNA entropy with OFDEG signatures --

3. Measuring distance of biological sequences using genome signatures -- Classical methods: euclidian distances and correlation statistics -- Distances based on model fitness -- Likelihood functions -- Indexing based on oligonucleotide abundance -- Minimum description length calculation based on linguistic models --

4. Applications: phylogeny construction -- A half century of molecular phylogenetics and the need for universal methods -- Phylogenetic signals in genome signatures -- Phylogeny with information theoretic distance measures and implicit genome signatures -- Phylogeny construction by genome signatures using genomic fragments -- Drawbacks of genome-signature-based phylogeny construction --

5. Applications: metagenomics -- Community analysis of environmental samples -- Sampling and sequencing environmental samples -- Exploration of biodiversity in a metagenome -- Metagenome assembly -- Metagenome binning -- Similarity search-based binning methods -- Supervised compositional binning methods -- Unsupervised methods --

6. Applications: horizontal DNA transfer detection -- Horizontal gene transfer -- Horizontal gene transfer in prokaryotes -- Horizontal gene transfer in eukaryotes -- Horizontal gene transfer detection -- Comparative methods -- Methods based on genome signatures -- Performance and limitations of genome signatures for horizontal transfer detection -- Compositional similarity of host and donor genomes -- Other challenges limiting the performance of genome-signature-based horizontal transfer detection -- Amelioration and deviation from general genomic signature trends --

Bibliography -- Authors' biography.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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Recent advances in development of sequencing technology has resulted in a deluge of genomic data. In order to make sense of this data, there is an urgent need for algorithms for data processing and quantitative reasoning. An emerging in silico approach, called computational genomic signatures, addresses this need by representing global species-specific features of genomes using simple mathematical models. This text introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for computing the distance or similarity between models. Therefore, a discussion of sequence similarity/distance measurement in the context of computational genomic signatures is presented. The remainder of the text covers various applications of computational genomic signatures in the areas of metagenomics, phylogenetics and the detection of horizontal gene transfer.

Also available in print.

Title from PDF t.p. (viewed on June 17, 2011).

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