The role of bioinformatics in agriculture / edited by Santosh Kumar, PhD.

Format:

Book

Contributor:

Kumar, Santosh, editor.

Language:

English

Subjects (All):

Agricultural informatics.

Agriculture--Data processing.

Agriculture.

Bioinformatics.

Physical Description:

1 online resource (483 p.)

Edition:

First edition.

Place of Publication:

Waretown, NJ : Apple Academic Press, Inc. ; Boca Raton, FL : CRC Press, [2014]

Language Note:

English

Summary:

Advances in information technology and next generation sequencing have propelled the use of bioinformatics in agriculture, especially in the area of crop improvement. An extremely large amount of genomics data is available from plants and animals due to tremendous improvements in the field. This book acquaints readers with state-of-the-art sequencing technologies, recent developments in computing algorithms, and certain biological perspectives that influence development of bioinformatics tools by giving specific examples from model plant species. The challenge is now to make sense and use o

Contents:

Front Cover; ABOUT THE EDITOR; CONTENTS; ACKNOWLEDGMENT AND HOW TO CITE; LIST OF CONTRIBUTORS; INTRODUCTION; PART I: GENOME DATA MINING THROUGH MODERN SEQUENCING TECHNOLOGIES; CHAPTER 1: COMPARISON OF NEXT-GENERATION SEQUENCING SYSTEMS; CHAPTER 2: WHY ASSEMBLING PLANT GENOME SEQUENCES IS SO CHALLENGING; CHAPTER 3: GENOME WALKING BY NEXT GENERATION SEQUENCING APPROACHES; CHAPTER 4: MOLECULAR TOOLS FOR EXPLORING POLYPLOID GENOMES IN PLANTS; CHAPTER 5: WHEAT GENOMICS: PRESENT STATUS AND FUTURE PROSPECTS; CHAPTER 6: DEVELOPMENT IN RICE GENOME RESEARCH BASED ON ACCURATE GENOME SEQUENCE

CHAPTER 7: GENOMIC DATABASES FOR CROP IMPROVEMENTPART II: GOING BEYOND DNA VARIATIONS TO UNDERSTAND ENVIRONMENTAL APPLICATIONS; CHAPTER 8: UNCOVERING THE COMPLEXITY OF TRANSCRIPTOMES WITH RNA-SEQ; CHAPTER 9: EFFICIENT EXPERIMENTAL DESIGN AND ANALYSIS STRATEGIES FOR THE DETECTION OF DIFFERENTIAL EXPRESSION USING RNA-SEQUENCING; CHAPTER 10: ANALYZING THE MicroRNA TRANSCRIPTOME IN PLANTS USING DEEP SEQUENCING DATA; CHAPTER 11: MAIZE (Zea Mays L.) GENOME DIVERSITY AS REVEALED BY RNA SEQUENCING; CHAPTER 12: MOLECULAR MECHANISMS OF EPIGENETIC VARIATION IN PLANTS

CHAPTER 13: METAGENOMICS: A GUIDE FROM SAMPLING TO DATA ANALYSISPART III: SINGLE NUCLEOTIDE POLYMORPHISM IS THE IDEAL MARKER; CHAPTER 14: SNP MARKERS AND THEIR IMPACT ON PLANT BREEDING; CHAPTER 15: GENOTYPING-BY-SEQUENCING IN PLANTS; AUTHOR NOTES; Back Cover

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters.

Description based on online resource; title from PDF title page (ebrary, viewed February 28, 2014).

ISBN:

0-429-17320-2

1-4822-3907-8

9780429173202

OCLC:

870946377