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Advanced Techniques in Diagnostic Microbiology
In the United States, hospitals annually report over 5 million cases of infectious-disease-related illnesses: clinical microbiology laboratories in these hospitals are engaged in detecting and identifying the pathogenic microorganisms in clinical specimens collected from these patients with suspected infections. Clearly, the timely and accurate detection/identification of these microbial pathogens is critical for patient treatment decisions and outcomes for millions of patients each year. Despite an appreciation that the outcome of an infectious-disease-related illness is directly related to the time required to detect and identify a microbial pathogen, clinical microbiology laboratories in ...
Hot Topics in Infection and Immunity in Children VI
Course covers topics in infectious diseases in children and is intended for Pediatric Infectious disease trainees, trainers, and all those who manage children with infections. Each of the chapters in this book is based on a lecture given at the sixth "Infection and Immunity in Children" course, held at the end of June 2008 at Keble College, Oxford. Thus, it is the sixth book in a series that provides succinct and readable updates on just about every aspect of the discipline of Pediatric Infectious Diseases.
Automation and Emerging Technology in Clinical Microbiology, An Issue of Clinics in Laboratory Medicine
The field of Clinical Microbiology is evolving at a rapid pace, perhaps more so than any other arm of laboratory medicine. This can be attributed to new technology, including high throughput gene sequencing, multiplex molecular assays, rapid evolution of antimicrobial resistance, and discovery of new pathogens. In addition, modern medical procedures, such as solid organ and stem cell transplantation, have resulted in an explosion of infections with agents that historically have been considered to be of low virulence. This issue of Clinics in Laboratory Medicine will highlight some of the advances in diagnostic microbiology, including MALDI-TOF MS, pathogen discovery, and personalized antimicrobial chemotherapy. In addition, one of the papers will focus on implementation of new technologies and how to maximize patient impact of these new methods.
Molecular Pathology in Clinical Practice
This authoritative textbook offers in-depth coverage of all aspects of molecular pathology practice and embodies the current standard in molecular testing. Since the successful first edition, new sections have been added on pharmacogenetics and genomics, while other sections have been revised and updated to reflect the rapid advances in the field. The result is a superb reference that encompasses molecular biology basics, genetics, inherited cancers, solid tumors, neoplastic hematopathology, infectious diseases, identity testing, HLA typing, laboratory management, genomics and proteomics. Throughout the text, emphasis is placed on the molecular variations being detected, the clinical usefulness of the tests and important clinical and laboratory issues. The second edition of Molecular Pathology in Clinical Practice will be an invaluable source of information for all practicing molecular pathologists and will also be of utility for other pathologists, clinical colleagues and trainees.
Bioinformatics Tools for Detection and Clinical Interpretation of Genomic Variations
Genomic variations and phenotypic diversity are closely linked and form the underlying mechanism for development of many human diseases. This book addresses the methods of detection, analysis, and interpretation of genomic variations in clinically relevant scenarios. If your research or clinical practice involves handling of genomic sequencing data, this book is for you. Topics covered include: methods for identifying genetic diversity, the workflow for analyzing whole exome and whole genome sequencing data, local ancestry deconvolution models, the value of molecular patterns and pattern biomarkers in cancer diagnosis and prognosis, and genotyping and profiling resistance-associated variants of hepatitis C. If your research or clinical practice involves handling of genomic sequencing data, this book is for you.
DNA Repair and Mutagenesis
An essential resource for all scientists researching cellular responses to DNA damage. • Introduces important new material reflective of the major changes and developments that have occurred in the field over the last decade. • Discussed the field within a strong historical framework, and all aspects of biological responses to DNA damage are detailed. • Provides information on covering sources and consequences of DNA damage; correcting altered bases in DNA: DNA repair; DNA damage tolerance and mutagenesis; regulatory responses to DNA damage in eukaryotes; and disease states associated with defective biological responses to DNA damage.
Pneumoviruses and Metapneumoviruses
This book is a printed edition of the Special Issue "Pneumoviruses and Metapneumoviruses" that was published in Viruses
Biomanufacturing
With contributions by numerous experts
An Introduction to Systems Biology
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.
Systems Biology
First, systems biology is an inter-disciplinary approach, requiring the combined talents of biologists, mathematicians, and computer scientists. Second, systems biology is holistic, with the goal of obtaining a comprehensive understanding of the workings of biological systems. This is achieved through the acquisition of massive amounts of data by high-throughput technologies—oligonucleotide microarrays, mass spectrometry, and next-generation sequencing—and the analysis of this data through sophisticated mathematical algorithms. It is perhaps the use of mathematics, to integrate abundant and diverse types of data and to generate models of interconnected molecular networks, that best characterizes systems biology.
