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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

single cell RNA sequencing --- bioinformatics --- precision medicine --- cell cluster --- trajectory analyses

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Precision medicine is rapidly becoming the standard-of-care for the treatment of cancer patients. This is made possible, in part, by the ready availability and reasonable costs of comprehensive DNA and RNA sequencing assays. However, precision medicine is complex and incorporates entirely new types of data and treatment paradigms that are outside of the training of most oncologists in practice today. Precision Medicine Oncology: A Primer is a concise review of the fundamental principles and applications of precision medicine, intended for clinicians, particularly those working in oncology. It provides an accessible introduction to the technological advances in DNA and RNA sequencing, gives a detailed overview of approaches to the interpretation of molecular test results and their point-of-care implementation for individual patients, and describes innovative clinical trial designs in oncology as well as characteristics of the computational infrastructures through which massive quantities of data are collected, stored, and used in precision medicine oncology.

Tumors --- Medical Oncology --- Precision Medicine --- Neoplasms --- Tumours --- Pathology --- Cysts (Pathology) --- Oncology --- therapy. --- Individualized medicine --- Personalized medicine --- Medical care --- Pharmacogenetics --- Medicine, oncology, precision medicine, cancer, cancer treatment, cancer patients, clinicians, medical practice, DNA, RNA, comprehensive DNA sequencing, comprehensive RNA sequencing, technological advances, molecular test results, oncologists, medical students, fellows in oncology, nurses, physician assistants, molecular tumor board, next-generation sequencing, comprehensive genomic profiling, individualized medicine.

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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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Computational Biology. --- Non-coding RNA. --- Sequence Analysis, RNA. --- Analysis, RNA Sequence --- Determination, RNA Sequence --- Determinations, RNA Sequence --- RNA Sequence Determination --- RNA Sequence Determinations --- RNA Sequencing --- Sequence Determinations, RNA --- RNA Sequence Analysis --- Sequence Determination, RNA --- Analyses, RNA Sequence --- RNA Sequence Analyses --- Sequence Analyses, RNA --- Sequencing, RNA --- Molecular Sequence Annotation --- fRNA --- Functional RNA --- ncRNA --- nmRNA --- Non-messenger RNA --- Non-translated RNA --- Noncoding RNA --- Nontranslated RNA --- Small non-messenger RNA --- Small RNA --- snmRNA --- sRNA --- Untranslated RNA --- RNA --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Bioinformatics --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- Computational Chemistry --- Genomics

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Extreme climatic events, such as intense and prolonged droughts and heat waves, are occurring with increasing frequency and with pronounced impacts on forests. Forest trees, as long-lived organisms, need to develop adaptation mechanisms to successfully respond to such climatic extremes. Whether physiological adaptations on the tree level result in ecophysiological responses that ensure plasticity of forest ecosystems to climate change is currently in the core forest research. Within this Special Issue, forest species’ responses to climatic variability were reported from diverse climatic zones and ecosystem types: from near-desert mountains in western USA to tropical forests in central America and Asia, and from Mediterranean ecosystems to temperate European forests. The clear effects of constraints related to climate change were evidenced on the tree level, such as in differentiated gene expression, metabolite abundance, sap flow rates, photosynthetic performance, seed germination, survival and growth, while on the ecosystem level, tree line shifts, temporal shifts in allocation of resources and species shifts were identified. Experimental schemes such as common gardens and provenance trails also provided long-term indications on the tolerance of forest species against drought and warming and serve to evaluate their performance under the predicted climate in near future. These findings enhance our knowledge on the potential resilience of forest species and ecosystems to climate change and provide an updated basis for continuing research on this topic.

Cedrela odorata --- seeds --- germination --- cardinal temperatures --- thermal time --- climate change --- dendrochronology --- ecology --- moving window analysis --- Pinaceae --- Pinus arizonica Engelm. --- Pinus ponderosa var. brachyptera (Engelm.) --- Ponderosae --- response function --- tree rings --- global climate change --- forest ecology --- trees adaptation --- phenotypic plasticity --- Phoebe bournei --- nitrogen --- carbon dioxide --- photosynthesis --- leaf anatomy --- National Park --- tree line shift --- acclimation --- adaptation --- common garden --- drought --- ecodistance --- mortality --- stomatal frequency --- stomatal size --- sap flux --- radial profile --- sapwood depth --- Aleppo pine --- diurnal variation --- seasonal variation --- climate --- basal area increment --- forest dieback --- Mediterranean forest --- stem growth --- water availability --- Quercus --- morphology evaluation --- survival rate --- extreme frost --- heat and drought --- open-top chamber --- RNA sequencing --- gene expression analysis --- Populus --- n/a