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This book provides a comprehensive overview of the fundamental aspects of protein-protein interactions (PPI), including a detailed account of the energetics and thermodynamics involved in these interactions. It also discusses a number of computational and experimental approaches for the prediction of PPI interactions and reviews their principles, advantages, drawbacks, and the recent developments. Further, it offers structural and mechanistic insights into the formation of protein-protein complexes and maps different PPIs into networks to delineate various pathways that operate at the cellular level. Lastly, it describes computational protein-protein docking techniques and discusses their implications for further experimental research. Given its scope, this book is a valuable resource for students, researchers, scientists, entrepreneurs, and medical/healthcare professionals.

Bioinformatics. --- Proteomics. --- Proteins . --- Gene expression. --- Protein Structure. --- Gene Expression. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Genes --- Genetic regulation --- Proteids --- Biomolecules --- Polypeptides --- Proteomics --- Molecular biology --- Proteins --- Data processing --- Expression --- Proteins.

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History will mark the twenty-first century as the dawn of the age of precise genetic manipulation. Breakthroughs in genome editing are poised to enable humankind to fundamentally transform life on Earth. Those familiar with genome editing understand its potential to revolutionize civilization in ways that surpass the impact of the discovery of electricity and the development of gunpowder, the atomic bomb, or the Internet. Significant questions regarding how society should promote or hinder genome editing loom large in the horizon. And it is up to humans to decide the fate of this powerful technology. Rewriting Nature is a compelling, thought-provoking interdisciplinary exploration of the law, science, and policy of genome editing. The book guides readers through complex legal, scientific, ethical, political, economic, and social issues concerning this emerging technology, and challenges the conventional false dichotomy often associated with science and law, which contributes to a growing divide between both fields.

Genetic engineering --- Science and law. --- Human genetics --- Gene editing. --- Genetic regulation --- Law and legislation. --- Government policy. --- Gene expression --- Gene expression regulation --- Gene regulation --- Biosynthesis --- Cellular control mechanisms --- Molecular genetics --- Editing, Gene --- Editing, Genome --- Genome editing --- Law and biology --- Law and science --- Science --- Law --- Medical laws and legislation --- Regulation --- Law and legislation

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Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-art from several fields of bioinformatics, from the automatic identification and classification of viruses to the analysis of the transcriptome of single cells and plants, including artificial intelligence algorithms to discover biomarkers and text mining approaches to help in the interpretation of the findings. Machine learning, pattern discovery and analysis, error correction, Bayesian inference and novel computational techniques to discover chromosomal rearrangements continue to play crucial roles in biological discovery, and all of them are explored in chapters of this book. In sum, this book contains high-quality chapters that provide excellent views into key topics of current bioinformatics research, topics that should remain important for the next several years.

Bioinformatics. --- Text Mining Gene Selection; Biological Big Data; Single-Cell RNA Sequencing; Large-Scale Structural Rearrangements in Chromosomes; Machine Learning Approaches; Biomarker Discovery; Gene Expression Data; Bayesian Inference of Gene Expression; Error-Correction Methodologies; Genome Sequencing Data; Plant Transcriptome Assembly; Aligned Pattern Clustering System; Pattern Analysis; Hidden Markov Models; Viral Classification and Discovery; Pattern Discovery and Disentanglement; Aligned Pattern Cluster Analysis; Protein Binding Complexes Detection

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Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-art from several fields of bioinformatics, from the automatic identification and classification of viruses to the analysis of the transcriptome of single cells and plants, including artificial intelligence algorithms to discover biomarkers and text mining approaches to help in the interpretation of the findings. Machine learning, pattern discovery and analysis, error correction, Bayesian inference and novel computational techniques to discover chromosomal rearrangements continue to play crucial roles in biological discovery, and all of them are explored in chapters of this book. In sum, this book contains high-quality chapters that provide excellent views into key topics of current bioinformatics research, topics that should remain important for the next several years.

Bioinformatics. --- Text Mining Gene Selection; Biological Big Data; Single-Cell RNA Sequencing; Large-Scale Structural Rearrangements in Chromosomes; Machine Learning Approaches; Biomarker Discovery; Gene Expression Data; Bayesian Inference of Gene Expression; Error-Correction Methodologies; Genome Sequencing Data; Plant Transcriptome Assembly; Aligned Pattern Clustering System; Pattern Analysis; Hidden Markov Models; Viral Classification and Discovery; Pattern Discovery and Disentanglement; Aligned Pattern Cluster Analysis; Protein Binding Complexes Detection

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Chloroplasts in photosynthetic organisms and mitochondria in a vast majority of eukaryotes, contain part of the genetic material of a eukaryotic cell. The organisation and inheritance patterns of this organellar DNA are quite different to that of nuclear DNA. Present-day chloroplast and mitochondrial genomes contain only a few dozen genes. Nevertheless, these organelles harbor several thousand proteins, the vast majority of them encoded by the nucleus. As a result, the expression of nuclear and organelle genomes has to be very precisely coordinated. The selection of experimental and review papers of this book covers a wide range of topics related to chloroplasts and plant mitochondria research, illustrating recent advances and diverse insights into the field of organelle genetics in plants. These works represent some of the latest research on the genetics, genomics, and biotechnology of plant mitochondria and chloroplasts, and they are of significant broad interest for the community of plant scientists, especially for those working in the subjects related to organelle genetics

Research & information: general --- Salt stress --- organellar gene expression (OGE) --- Arabidopsis --- rice --- mitochondrial transcription termination factors (mTERFs) --- pentatricopeptide repeat (PPR) proteins --- DEAD-box RNA helicases (RHs)-containing proteins --- RNA-recognition motifs (RRMs)-containing proteins --- SIGMA FACTOR 5 --- PLASTID-SPECIFIC RIBOSOMAL PROTEIN 2 --- chloroplast genome --- free-standing ORFs --- introns --- phylogenetic analysis --- taxonomic study --- Trentepohlia odorata --- Trentepohliales --- Macrosolen --- Macrosolen cochinchinensis --- Macrosolen tricolor --- Macrosolen bibracteolatus --- Santalales --- gene loss --- phylogenetic relationship --- Utricularia amethystina --- Lentibulariaceae --- chloroplast phylogenomics --- organelle genome --- carnivorous plants --- polymorphic species --- intraspecific variation --- ndh genes --- genome structure --- genome evolution --- DNA transfer --- nuclear integrants of plastid DNA (NUPT) --- nuclear integrants of mitochondrial DNA (NUMT) --- legumes --- clover --- organelle genetics --- mitochondria --- endosymbiotic gene transfer --- gene fission --- common bean --- Phaseolus vulgaris --- mitochondrial genome --- comparative genomics --- phylogeny --- soybean --- yellow leaf mutant --- photosynthesis --- chloroplast RNA editing --- chloroplast --- SWNTs --- morphogenic regulators --- CRISPR --- protoplast regeneration --- chloroplast gene expression --- environmental stress response --- transcription --- RNA metabolism --- translation --- complex I --- intron splicing --- maturase --- NDH --- RNA editing --- n/a