Bioinformatics Analysis of Single Cell Sequencing Data and Applications in Precision Medicine
Author: Jialiang Yang
Publisher: Frontiers Media SA
Published: 2020-02-27
Total Pages: 136
ISBN-13: 2889635287
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Clinical Bioinformatics
Author: Ronald Trent
Publisher: Humana
Published: 2016-08-23
Total Pages: 0
ISBN-13: 9781493947003
DOWNLOAD EBOOKIn Clinical Bioinformatics, Second Edition, leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance. Recent developments in omics, such as increasingly sophisticated analytic platforms allowing changes in diagnostic strategies from the traditional focus on single or small number of analytes to what might be possible when large numbers or all analytes are measured, are now impacting patient care. Covering such topics as gene discovery, gene function (microarrays), DNA sequencing, online approaches and resources, and informatics in clinical practice, this volume concisely yet thoroughly explores this cutting-edge subject. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Clinical Bioinformatics, Second Edition serves as an ideal guide for scientists and health professionals working in genetics and genomics.
Tumor Immunology and Immunotherapy - Cellular Methods Part B
Author:
Publisher: Academic Press
Published: 2020-01-28
Total Pages: 586
ISBN-13: 0128186755
DOWNLOAD EBOOKTumor Immunology and Immunotherapy - Cellular Methods Part B, Volume 632, the latest release in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. Topics covered include Quantitation of calreticulin exposure associated with immunogenic cell death, Side-by-side comparisons of flow cytometry and immunohistochemistry for detection of calreticulin exposure in the course of immunogenic cell death, Quantitative determination of phagocytosis by bone marrow-derived dendritic cells via imaging flow cytometry, Cytofluorometric assessment of dendritic cell-mediated uptake of cancer cell apoptotic bodies, Methods to assess DC-dependent priming of T cell responses by dying cells, and more.
Me Medicine Vs. We Medicine
Author: Donna Dickenson
Publisher:
Published: 2016-02-23
Total Pages: 0
ISBN-13: 9780231159753
DOWNLOAD EBOOKPersonalized healthcare--or what the award-winning author Donna Dickenson calls "Me Medicine"--is radically transforming our longstanding "one-size-fits-all" model. Technologies such as direct-to-consumer genetic testing, pharmacogenetically developed therapies in cancer care, private umbilical cord blood banking, and neurocognitive enhancement claim to cater to an individual's specific biological character, and, in some cases, these technologies have shown powerful potential. Yet in others they have produced negligible or even negative results. Whatever is behind the rise of Me Medicine, it isn't just science. So why is Me Medicine rapidly edging out We Medicine, and how has our commitment to our collective health suffered as a result? In her cogent, provocative analysis, Dickenson examines the economic and political factors fueling the Me Medicine phenomenon and explores how, over time, this paradigm shift in how we approach our health might damage our individual and collective well-being. Historically, the measures of "We Medicine," such as vaccination and investment in public-health infrastructure, have radically extended our life spans, and Dickenson argues we've lost sight of that truth in our enthusiasm for "Me Medicine." Dickenson explores how personalized medicine illustrates capitalism's protean capacity for creating new products and markets where none existed before--and how this, rather than scientific plausibility, goes a long way toward explaining private umbilical cord blood banks and retail genetics. Drawing on the latest findings from leading scientists, social scientists, and political analysts, she critically examines four possible hypotheses driving our Me Medicine moment: a growing sense of threat; a wave of patient narcissism; corporate interests driving new niche markets; and the dominance of personal choice as a cultural value. She concludes with insights from political theory that emphasize a conception of the commons and the steps we can take to restore its value to modern biotechnology.
Application of Bioinformatics in Cancers
Author: Chad Brenner
Publisher: MDPI
Published: 2019-11-20
Total Pages: 418
ISBN-13: 3039217887
DOWNLOAD EBOOKThis collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
Single-Cell OMICs Analyses in Cardiovascular Diseases
Author:
Publisher: Frontiers Media SA
Published: 2024-05-14
Total Pages: 150
ISBN-13: 2832549004
DOWNLOAD EBOOKSingle-cell OMICs analyses have recently become one of the most promising tools to probe biology at the cellular level, in large part due to its ability to address issues beyond the bulk analysis – a window into cellular heterogeneity. The ability to profile transcriptomic, epigenomic, proteomics, and metabolomics at the single cell level including more recently the spatial information has enhanced our ability to understand interactions between biomolecules in different contexts leading to the discovery of specific cellular subpopulations as well as biological mechanisms underlying pathologies which may be amenable to therapeutic interventions. The scale and availability of a variety of technologies to measure intricate molecular details have provided an impetus to research in many disease areas, including cardiovascular medicine.
Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, Volume III
Author: Min Tang
Publisher: Frontiers Media SA
Published: 2024-09-25
Total Pages: 324
ISBN-13: 2832555012
DOWNLOAD EBOOKOur second Research Topic in this series, Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, Volume II (https://fro.ntiers.in/14361) has over 8 accepted articles and further manuscripts currently under review. Due to the continued success of these Research Topics and the interest in the subject, we will launch a third volume on the same topic. Inferring cancer tissue-of-origin and molecular classification are two critical problems in personalized cancer therapy. It is known that there are about 5% cancers of unknown primary (CUP) site. These kinds of patients are under empirical chemotherapy, which leads to a very low survival rate. Thus, it is important to infer cancer tissue-of-origin. However, experimental methods usually fail to identify the exact tissue-of-origin even after the death of a patient, which provides a need for computational methods especially in the era of big biomedical data. Based on the finding that gene expressions of metastasis cancer cells are more similar to those of original tissue than metastasis tissue, there have been a few computational methods developed in this area. However, the accuracy of the methods is yet to be improved to assure a clinical usage. In addition to CUP, inferring cancer tissue-of-origin is also important in avoiding misdiagnosis even if the cancer origin is known.
Biological Sequence Analysis
Author: Richard Durbin
Publisher: Cambridge University Press
Published: 1998-04-23
Total Pages: 372
ISBN-13: 113945739X
DOWNLOAD EBOOKProbabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Machine learning-based methods for RNA data analysis - volume III
Author: Lihong Peng
Publisher: Frontiers Media SA
Published: 2023-02-17
Total Pages: 134
ISBN-13: 2832514901
DOWNLOAD EBOOKMobile DNA: Finding Treasure in Junk
Author: Haig H. Kazazian
Publisher: FT Press
Published: 2011
Total Pages: 287
ISBN-13:
DOWNLOAD EBOOKAnnotation What we now know about mobile DNA--and the substantial roles it plays in humans, animals, and plants. & bull; & bull;Mobile DNA accounts for more than half of our genome: This book explains the important role it plays in shaping evolutionary change. & bull;A rich, thorough, and accessible introduction for all serious students, practitioners, and researchers in human and medical genetics, molecular biology, or evolutionary biology. & bull;By one of the field's leading researchers, Dr. Haig Kazazian. This book thoroughly reviews our current scientific understanding of the significant role that mobile genetic elements play in the evolution and function of genomes and organisms--from plants and animals to humans. Highly regarded geneticist Haig Kazazian offers an accessible intellectual history of the field's research strategies and concerns, explaining how advances opened up new questions, and how new tools and capabilities have encouraged progress in the field. Kazazian introduces the key strategies and approaches taken in leading laboratories (including his own) to gain greater insight into the large proportion of our genome that derives from mobile genetic elements, including viruses, plasmids, and transposons. He also presents intriguing insights into long-term research strategies that may lead to an even deeper understanding.
