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Unraveling new frontiers and advance...

Chaudhary, Amit.

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Unraveling new frontiers and advances in bioinformatics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Unraveling new frontiers and advances in bioinformatics/ edited by Amit Chaudhary, Sushanta K. Sethi, Akarsh Verma.
其他作者:	Chaudhary, Amit.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	vi, 443 p. :ill. (chiefly color), digital ;24 cm.
內容註:	1. Introduction to Bioinformatics: Past, Present, and Future -- 2. Next-Generation Sequencing and Genomic Data Analysis -- 3. Single-Cell Genomics and Transcriptomics Analysis -- 4. Metagenomics and Microbiome Analysis -- 5. Structural Bioinformatics and Protein Structure Prediction -- 6. Machine Learning and Artificial Intelligence in Bioinformatics -- 7. Integrative Omics and Systems Biology -- 8. Bioinformatics in Precision Medicine and Personalized Healthcare -- 9. Drug Discovery and Repurposing through Bioinformatics -- 10. Bioinformatics in Crop Improvement and Agricultural Genomics -- 11. Immunoinformatics and Vaccine Development.
Contained By:	Springer Nature eBook
標題:	Bioinformatics. -
電子資源:	https://doi.org/10.1007/978-981-97-7123-3
ISBN:	9789819771233

Unraveling new frontiers and advances in bioinformatics
Unraveling new frontiers and advances in bioinformatics[electronic resource] /edited by Amit Chaudhary, Sushanta K. Sethi, Akarsh Verma. - Singapore :Springer Nature Singapore :2024. - vi, 443 p. :ill. (chiefly color), digital ;24 cm.

1. Introduction to Bioinformatics: Past, Present, and Future -- 2. Next-Generation Sequencing and Genomic Data Analysis -- 3. Single-Cell Genomics and Transcriptomics Analysis -- 4. Metagenomics and Microbiome Analysis -- 5. Structural Bioinformatics and Protein Structure Prediction -- 6. Machine Learning and Artificial Intelligence in Bioinformatics -- 7. Integrative Omics and Systems Biology -- 8. Bioinformatics in Precision Medicine and Personalized Healthcare -- 9. Drug Discovery and Repurposing through Bioinformatics -- 10. Bioinformatics in Crop Improvement and Agricultural Genomics -- 11. Immunoinformatics and Vaccine Development.

This book describes the bioinformatics research field, from its historical roots to the cutting-edge technologies. Many readers can discover the power of next-generation sequencing and genomic data analysis, uncover the secrets of single-cell genomics and transcriptomics, explore the metagenomics and microbiome analysis, and predict the protein structures using structural bioinformatics. Several case studies witnessing the fusion of bioinformatics and artificial intelligence, driving insights from vast biological datasets have also been explored. Other important aspects listed in the book are integrating the omics data for a holistic view of biological systems; experiencing the future of medicine with precision healthcare and personalized treatments; accelerating drug discovery and repurposing through computational approaches; agricultural genomics; and exploring the role of immunoinformatics in designing effective vaccines against infectious diseases.

ISBN: 9789819771233

Standard No.: 10.1007/978-981-97-7123-3doiSubjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

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505 0 $a 1. Introduction to Bioinformatics: Past, Present, and Future -- 2. Next-Generation Sequencing and Genomic Data Analysis -- 3. Single-Cell Genomics and Transcriptomics Analysis -- 4. Metagenomics and Microbiome Analysis -- 5. Structural Bioinformatics and Protein Structure Prediction -- 6. Machine Learning and Artificial Intelligence in Bioinformatics -- 7. Integrative Omics and Systems Biology -- 8. Bioinformatics in Precision Medicine and Personalized Healthcare -- 9. Drug Discovery and Repurposing through Bioinformatics -- 10. Bioinformatics in Crop Improvement and Agricultural Genomics -- 11. Immunoinformatics and Vaccine Development.
520 $a This book describes the bioinformatics research field, from its historical roots to the cutting-edge technologies. Many readers can discover the power of next-generation sequencing and genomic data analysis, uncover the secrets of single-cell genomics and transcriptomics, explore the metagenomics and microbiome analysis, and predict the protein structures using structural bioinformatics. Several case studies witnessing the fusion of bioinformatics and artificial intelligence, driving insights from vast biological datasets have also been explored. Other important aspects listed in the book are integrating the omics data for a holistic view of biological systems; experiencing the future of medicine with precision healthcare and personalized treatments; accelerating drug discovery and repurposing through computational approaches; agricultural genomics; and exploring the role of immunoinformatics in designing effective vaccines against infectious diseases.
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