Non-coding RNA, Volume 214 in the Progress in Molecular Biology and Translational Science series, highlights advances in the field, with this new volume presenting interesting chapters on topics such as An introduction to non-coding RNAs, Non-coding RNAs in Eutherians and Livestocks, Artificial intelligence and machine learning heuristics for discovery of ncRNAs in humans, Non-coding RNAs in Plants, Epigenetic and experimental approaches influencing ncRNAs, Noncoding RNAs in bacteria, Dissecting ncRNA pathways and omics integration, Structural prediction of potent ncRNAs, Artificial intelligence and machine learning heuristics for discovery of ncRNAs in humans, Tools and Databases for non-coding RNAs, and Physiogenomics and genetic landscape of ncRNAs.
1. Chapter One: An introduction to non-coding RNAs - p. 1 2. Chapter Two: Exploring the critical role of non-coding RNAs in plant development and stress adaptation-current status and insights - p. 19 3. Chapter Three: Epigenetic and experimental approaches influencing non-coding RNAs - p. 65 4. Chapter Four: Dissecting ncRNA pathways and omics integration - p. 81 5. Chapter Five: Structural prediction of potent non-coding RNAs - p. 101 6. Chapter Six: Artificial intelligence and machine learning heuristics for discovery of ncRNAs - p. 145 7. Chapter Seven: Tools and databases for non-coding RNAs - p. 163 8. Chapter Eight: Non-coding RNAs and their integrated biological networks - p. 179 9. Index - p. 195
Non-coding RNA, Volume 214 in the Progress in Molecular Biology and Translational Science series, highlights advances in the field, with this new volume presenting interesting chapters on topics such as An introduction to non-coding RNAs, Non-coding RNAs in Eutherians and Livestocks, Artificial intelligence and machine learning heuristics for discovery of ncRNAs in humans, Non-coding RNAs in Plants, Epigenetic and experimental approaches influencing ncRNAs, Noncoding RNAs in bacteria, Dissecting ncRNA pathways and omics integration, Structural prediction of potent ncRNAs, Artificial intelligence and machine learning heuristics for discovery of ncRNAs in humans, Tools and Databases for non-coding RNAs, and Physiogenomics and genetic landscape of ncRNAs.
1. Chapter One: An introduction to non-coding RNAs - p. 1 2. Chapter Two: Exploring the critical role of non-coding RNAs in plant development and stress adaptation-current status and insights - p. 19 3. Chapter Three: Epigenetic and experimental approaches influencing non-coding RNAs - p. 65 4. Chapter Four: Dissecting ncRNA pathways and omics integration - p. 81 5. Chapter Five: Structural prediction of potent non-coding RNAs - p. 101 6. Chapter Six: Artificial intelligence and machine learning heuristics for discovery of ncRNAs - p. 145 7. Chapter Seven: Tools and databases for non-coding RNAs - p. 163 8. Chapter Eight: Non-coding RNAs and their integrated biological networks - p. 179 9. Index - p. 195
