LEADER 03724oam 2200589I 450 001 9910822816203321 005 20230803201916.0 010 $a0-429-17320-2 010 $a1-4822-3907-8 024 7 $a10.1201/b16568 035 $a(CKB)3710000000089709 035 $a(EBL)1511174 035 $a(SSID)ssj0001167461 035 $a(PQKBManifestationID)11754259 035 $a(PQKBTitleCode)TC0001167461 035 $a(PQKBWorkID)11132452 035 $a(PQKB)10128926 035 $a(MiAaPQ)EBC1511174 035 $a(OCoLC)870946377 035 $a(EXLCZ)993710000000089709 100 $a20180331h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 04$aThe role of bioinformatics in agriculture /$fedited by Santosh Kumar, PhD 205 $aFirst edition. 210 1$aWaretown, NJ :$cApple Academic Press, Inc. ;$aBoca Raton, FL :$cCRC Press,$d[2014] 210 4$dİ2014 215 $a1 online resource (483 p.) 300 $aDescription based upon print version of record. 311 $a1-77188-003-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aFront 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 327 $aCHAPTER 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 327 $aCHAPTER 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 330 $aAdvances 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 606 $aAgricultural informatics 606 $aAgriculture$xData processing 606 $aBioinformatics 615 0$aAgricultural informatics. 615 0$aAgriculture$xData processing. 615 0$aBioinformatics. 676 $a630.285 702 $aKumar$b Santosh 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910822816203321 996 $aThe role of bioinformatics in agriculture$94055499 997 $aUNINA