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Bioinformatics

Arora, Dilip K.

Bioinformatics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bioinformaticsedited by Dilip K. Arora, Randy M. Berka, Gautam B. Singh.
其他作者:	Arora, Dilip K.
出版者:	Amsterdam ;Elsevier,2006.
面頁冊數:	1 online resource (xiv, 336 p.) :ill. (some col.)
標題:	Bioinformatics.
電子資源:	http://www.sciencedirect.com/science/book/9780444518071
ISBN:	9780444518071

Bioinformatics
Bioinformatics[electronic resource] /edited by Dilip K. Arora, Randy M. Berka, Gautam B. Singh. - 1st ed. - Amsterdam ;Elsevier,2006. - 1 online resource (xiv, 336 p.) :ill. (some col.) - Applied mycology and biotechnology ;Volume 6. - Applied mycology and biotechnology ;v. 6..

Includes bibliographical references and index.

SECTION A: PRINCIPLES -- Experimental Design and Analysis of Microarrary Data -- Method for Protein Homology Modelling -- Phylogenetic Network Construction Approaches -- Issues in Comparative Fungal Genomics -- SECTION B: TOOLS -- Fungal Genomic Annotation -- Bioinformatics Packages for Sequence Analysis -- A Survey of Computational Methods Used in Microarray -- Data Interpretation -- Computational Methods in Genome Research -- Creating Fungal Pathway/Genome Databases Using Pathway Tools -- Comparative Genomic Analysis of Glycoylation Pathways in -- Yeast, Plants and Higher Eukaryotes -- SECTION C: APPLICATIONS -- LARaLINK 2.0: Data Mining for Clinical Cytogenetics -- Sequence-Based Analysis of Fungal Secretomes -- Using Web Agents for Data Mining of Fungal Genomes -- Searching Biological Databases Using Biolinguistic Methods -- Keyword Index.

The advances in genomic technologies, such as microarrays and high throughput sequencing, have expanded the realm of possibilities for capturing data and analyzing it using automated computer driven bioinformatics tools. With the completion of the sequencing of genomes of human and several model organisms, a quest for scientific discoveries being fueled by integrative and multidimensional techniques in mathematics and computational sciences. In this volume, leading researchers and experts have provided an overview of significant concepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expression profiles. * Provides a survey of theoretical underpinnings on the technological tools and applications * Discusses the tools utilized for the annotation of fungal genomes and addresses issues related to automated annotation generation in a high throughput biotechnology environment * describing the applications of the concepts and methodologies presented throughout the book.

ISBN: 9780444518071

Source: 116073:116171Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

194415
Bioinformatics.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QH324.2 / .A66 2006eb

Dewey Class. No.: 572.80285

National Agricultural Library Call No.: QH324.2 / .A66 2006

Bioinformatics
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245 0 0 $a Bioinformatics $h [electronic resource] / $c edited by Dilip K. Arora, Randy M. Berka, Gautam B. Singh.
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300 $a 1 online resource (xiv, 336 p.) : $b ill. (some col.)
490 1 $a Applied mycology and biotechnology ; $v Volume 6
504 $a Includes bibliographical references and index.
505 0 $a SECTION A: PRINCIPLES -- Experimental Design and Analysis of Microarrary Data -- Method for Protein Homology Modelling -- Phylogenetic Network Construction Approaches -- Issues in Comparative Fungal Genomics -- SECTION B: TOOLS -- Fungal Genomic Annotation -- Bioinformatics Packages for Sequence Analysis -- A Survey of Computational Methods Used in Microarray -- Data Interpretation -- Computational Methods in Genome Research -- Creating Fungal Pathway/Genome Databases Using Pathway Tools -- Comparative Genomic Analysis of Glycoylation Pathways in -- Yeast, Plants and Higher Eukaryotes -- SECTION C: APPLICATIONS -- LARaLINK 2.0: Data Mining for Clinical Cytogenetics -- Sequence-Based Analysis of Fungal Secretomes -- Using Web Agents for Data Mining of Fungal Genomes -- Searching Biological Databases Using Biolinguistic Methods -- Keyword Index.
520 $a The advances in genomic technologies, such as microarrays and high throughput sequencing, have expanded the realm of possibilities for capturing data and analyzing it using automated computer driven bioinformatics tools. With the completion of the sequencing of genomes of human and several model organisms, a quest for scientific discoveries being fueled by integrative and multidimensional techniques in mathematics and computational sciences. In this volume, leading researchers and experts have provided an overview of significant concepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expression profiles. * Provides a survey of theoretical underpinnings on the technological tools and applications * Discusses the tools utilized for the annotation of fungal genomes and addresses issues related to automated annotation generation in a high throughput biotechnology environment * describing the applications of the concepts and methodologies presented throughout the book.
588 $a Description based on print version record.
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700 1 $a Singh, Gautam B. $4 edt $3 502197
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830 0 $a Applied mycology and biotechnology ; $v v. 6. $3 502198
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