000 06238nam a22007455i 4500
001 978-981-99-6913-5
003 DE-He213
005 20260610083724.0
007 cr nn 008mamaa
008 240109s2024 si | s |||| 0|eng d
020 _a9789819969135
_9978-981-99-6913-5
024 7 _a10.1007/978-981-99-6913-5
_2doi
050 4 _aS1-972
072 7 _aTVB
_2bicssc
072 7 _aTEC003000
_2bisacsh
072 7 _aTVB
_2thema
082 0 4 _a630
_223
245 1 0 _aGenomics Data Analysis for Crop Improvement
_h[electronic resource] /
_cedited by Priyanka Anjoy, Kuldeep Kumar, Girish Chandra, Kishor Gaikwad.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXI, 374 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _bTable of contents navigation
_2onix
341 0 _bSingle logical reading order
_2onix
341 0 _bShort alternative textual descriptions
_2onix
341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
_2onix
341 0 _bNext / Previous structural navigation
_2onix
341 0 _bAll non-decorative content supports reading without sight
_2onix
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Protocols Handbooks,
_x1949-2456
505 0 _aChapter 1. Statistical and Biological Data Analysis using Programming Languages -- Chapter 2. Python for Biologists -- Chapter 3. Assembly, Annotation and Visualization of NGS Data -- Chapter 4. Statistical and Quantitative Genetics Studies -- Chapter 5. Mapping of Quantitative Traits Loci: Harnessing Genomics Revolution for Dissecting Complex Traits -- Chapter 6. Trait Based Association Mapping in Plants -- Chapter 7. META-Analysis of Mapping Studies: Integrating QTLs Towards Candidate Gene Discovery -- Chapter 8. Role of Databases and Bioinformatics Tools in Crop Improvement -- Chapter 9. Overview of the Bioinformatics Databases and Tools for Genome Research and Crop Improvement -- Chapter 10. Public Domain Databases - A Gold Mine for Identification and Genome Reconstruction of Plant Viruses and Viroids -- Chapter 11. Tree Genome Databases: A New Era in the Development of Cyber-infrastructures for Forest Trees -- Chapter 12. Development of Biological Databases for Genomic Research -- Chapter 13. Artificial Intelligence in Genomic Studies -- Chapter 14. Basics of the Molecular Biology: From Genes to its Function.
520 _aThis book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.
532 8 _aAccessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aAgriculture.
650 0 _aQuantitative research.
650 0 _aBiology
_xTechnique.
650 0 _aGenomics.
650 0 _aMolecular biology.
650 0 _aPlant genetics.
650 0 _aBotanical chemistry.
650 1 4 _aAgriculture.
650 2 4 _aData Analysis and Big Data.
650 2 4 _aGenomic Analysis.
650 2 4 _aMolecular Biology.
650 2 4 _aPlant Genetics.
650 2 4 _aPlant Biochemistry.
700 1 _aAnjoy, Priyanka.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKumar, Kuldeep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChandra, Girish.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGaikwad, Kishor.
_eeditor.
_0(orcid)0000-0002-0484-3844
_1https://orcid.org/0000-0002-0484-3844
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819969128
776 0 8 _iPrinted edition:
_z9789819969142
776 0 8 _iPrinted edition:
_z9789819969159
830 0 _aSpringer Protocols Handbooks,
_x1949-2456
856 4 0 _uhttps://doi.org/10.1007/978-981-99-6913-5
912 _aZDB-2-PRO
999 _c8618
_d8618