Download or read book Computational Biology for Stem Cell Research written by Pawan Raghav and published by Elsevier. This book was released on 2024-01-12 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.

Download or read book Computational Stem Cell Biology written by Patrick Cahan and published by . This book was released on 2019 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Biology of Embryonic Stem Cells written by Ming Zhan and published by Bentham Science Publishers. This book was released on 2012-08-10 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Computational biology in combination with large-scale biology has played a critical role in exploring the great potentials of embryonic stem cells, resulting in significant discoveries. This e-book brings together reviews and essays from different aspects"

Download or read book Computational Stem Cell Biology written by Patrick Cahan and published by Humana. This book was released on 2019-05-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details methods and protocols to further the study of stem cells within the computational stem cell biology (CSCB) field. Chapters are divided into four sections covering the theory and practice of modeling of stem cell behavior, analyzing single cell genome-scale measurements, reconstructing gene regulatory networks, and metabolomics. Written in the highly 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Stem Cell Biology: Methods and Protocols will be an invaluable guide to researchers as they explore stem cells from the perspective of computational biology.

Download or read book Video Bioinformatics written by Bir Bhanu and published by Springer. This book was released on 2015-12-16 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances of live cell video imaging and high-throughput technologies for functional and chemical genomics provide unprecedented opportunities to understand how biological processes work in subcellularand multicellular systems. The interdisciplinary research field of Video Bioinformatics is defined by BirBhanu as the automated processing, analysis, understanding, data mining, visualization, query-basedretrieval/storage of biological spatiotemporal events/data and knowledge extracted from dynamic imagesand microscopic videos. Video bioinformatics attempts to provide a deeper understanding of continuousand dynamic life processes.Genome sequences alone lack spatial and temporal information, and video imaging of specific moleculesand their spatiotemporal interactions, using a range of imaging methods, are essential to understandhow genomes create cells, how cells constitute organisms, and how errant cells cause disease. The bookexamines interdisciplinary research issues and challenges with examples that deal with organismal dynamics,intercellular and tissue dynamics, intracellular dynamics, protein movement, cell signaling and softwareand databases for video bioinformatics.Topics and Features• Covers a set of biological problems, their significance, live-imaging experiments, theory andcomputational methods, quantifiable experimental results and discussion of results.• Provides automated methods for analyzing mild traumatic brain injury over time, identifying injurydynamics after neonatal hypoxia-ischemia and visualizing cortical tissue changes during seizureactivity as examples of organismal dynamics• Describes techniques for quantifying the dynamics of human embryonic stem cells with examplesof cell detection/segmentation, spreading and other dynamic behaviors which are important forcharacterizing stem cell health• Examines and quantifies dynamic processes in plant and fungal systems such as cell trafficking,growth of pollen tubes in model systems such as Neurospora Crassa and Arabidopsis• Discusses the dynamics of intracellular molecules for DNA repair and the regulation of cofilintransport using video analysis• Discusses software, system and database aspects of video bioinformatics by providing examples of5D cell tracking by FARSIGHT open source toolkit, a survey on available databases and software,biological processes for non-verbal communications and identification and retrieval of moth imagesThis unique text will be of great interest to researchers and graduate students of Electrical Engineering,Computer Science, Bioengineering, Cell Biology, Toxicology, Genetics, Genomics, Bioinformatics, ComputerVision and Pattern Recognition, Medical Image Analysis, and Cell Molecular and Developmental Biology.The large number of example applications will also appeal to application scientists and engineers.Dr. Bir Bhanu is Distinguished Professor of Electrical & C omputer Engineering, Interim Chair of theDepartment of Bioengineering, Cooperative Professor of Computer Science & Engineering, and MechanicalEngineering and the Director of the Center for Research in Intelligent Systems, at the University of California,Riverside, California, USA.Dr. Prue Talbot is Professor of Cell Biology & Neuroscience and Director of the Stem Cell Center and Core atthe University of California Riverside, California, USA.

Download or read book New Frontiers of Network Analysis in Systems Biology written by Avi Ma'ayan and published by Springer Science & Business Media. This book was released on 2012-06-25 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.

Download or read book Computational Immunology written by Shyamasree Ghosh and published by CRC Press. This book was released on 2020-01-31 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Download or read book Bioinformatics and Systems Biology written by Frederick Marcus and published by Springer Science & Business Media. This book was released on 2008-07-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a research paradigm that connects many of the top scientists, institutions, their resources and research worldwide, resulting in first-class contributions to bioinformatics and systems biology. Central themes include describing processes and results in collaborative research projects using computational biology and providing a guide for researchers to access them. The book is also a practical guide on how science is managed. It shows how collaborative researchers are putting results together in a way accessible to the entire biomedical community.

Download or read book Analyzing Network Data in Biology and Medicine written by Nataša Pržulj and published by Cambridge University Press. This book was released on 2019-03-28 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysis. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straightforward task because of the size of the data sets and the computer power required for the analysis. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this text provides an ideal introduction to and insight into the interdisciplinary field of network data analysis in biomedicine.

Download or read book Genome Informatics 2009 written by Charles DeLisi and published by World Scientific. This book was released on 2010 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Umbilical cord blood, previously discarded after birth, has emerged over recent years as an alternative source of hematopoietic stem cells for hematological reconstitution, mainly for leukemia patients, as well as for some hematological deficiencies and bone marrow failures. In recent years, it has become increasingly clear that cord blood, as well as the surrounding tissue of the umbilical cord, contain additional stem cells which have been shown to be of great potential for regenerative medicine. Importantly, cord blood is abundant, it can be banked and shipped with ease, and thus has an indisputable potential for future medicines and regenerative therapies. Driven by a massive interest for regenerative medicine and alternative yet ethically acceptable stem cell sources, the scientific literature on umbilical cord and cord blood stem cells has increased tremendously. This book provides a consolidated, up-to-date overview of basic research on hematopoietic and mesenchymal stem cells contained within umbilical cord tissue, as well as other more recently described stem and precursor cells of not yet fully elucidated potential. It also takes an in-depth look at basic and translational research efforts with stem cells from the umbilical cord in academic institutions and biotech companies. Suitable for use as a primer and reference book by medical fellows and researchers entering the research fields of stem cell biology and regenerative medicine, it can also be used by students (undergraduate and graduate) as a starting point for read-up on the literature on stem cells and their potential and applications, or as a teaching tool in graduate schools for biologists, particularly for students wanting to enter the emerging field of stem cell biology.

Download or read book Stem Cells and Revascularization Therapies written by Hyunjoon Kong and published by CRC Press. This book was released on 2011-12-13 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few decades, significant advancements in the biology and engineering of stem cells have enabled progress in their clinical application to revascularization therapies. Some strategies involve the mobilization of endogenous stem cell populations, and others employ cell transplantation. However, both techniques have benefited from multidisciplinary efforts to create biomaterials and other biomedical tools that can improve and control the fate of stem cells, and advance our understanding of them. Stem Cells and Revascularization Therapies focuses on the fundamentals and applied studies in stem cell biology, and provides perspectives associated with the development of revascularization strategies. To help readers understand the multidisciplinary issues associated with this topic, this book has been divided into four sections: Section 1: Explores how to define, isolate, and characterize various stem and progenitor cell populations for neovascularization Section 2: Summarizes some especially useful model systems and approaches used to regulate angiogenesis, vasculogenesis, and arteriogenesis, and explores their impact on formation of functional vessels in vivo Section 3: Focuses on stem cell homing to sites of injury and inflammation, as well as strategies to exploit this mobilization phenomenon Section 4: Covers stem cell transplantation topics, including recreating features of endogenous stem cell niches to maintain the multipotency of transplanted cells and combinatorial delivery of cells and molecular factors Intended to inspire new contributions to improve the therapeutic efficacy, Stem Cells and Revascularization Therapies outlines emergent findings and challenges regarding the use of stem cells in revascularization therapies. Overcoming the significant hurdles to our understanding of stem cell biology will enhance their utility in promoting new blood vessel formation.

Download or read book Introduction to Bioinformatics with R written by Edward Curry and published by CRC Press. This book was released on 2020-11-02 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions. Key Features: · Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. · Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles · Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves. · Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens. · Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research. This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.

Download or read book Advances in Systems Biology written by Igor I. Goryanin and published by Springer Science & Business Media. This book was released on 2011-12-09 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Society for Systems Biology (ISSB) is a society aimed at advancing world-wide systems biology research by providing a forum for scientific discussions and various academic services. The ISSB helps coordinate researchers to form alliances for meeting the unique needs of multidisciplinary and international systems biology research. The annual International Conference on Systems Biology (ICSB) serves as the main meeting for the society and is one of the largest academic and commercial gatherings under the broad heading of ‘Systems Biology’.

Download or read book Stem Cells written by Christine Mummery and published by Academic Press. This book was released on 2014-05-23 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Stem Cells: Scientific Facts and Fiction provides the non-stem cell expert with an understandable review of the history, current state of affairs, and facts and fiction of the promises of stem cells. Building on success of its award-winning preceding edition, the second edition features new chapters on embryonic and iPS cells and stem cells in veterinary science and medicine. It contains major revisions on cancer stem cells to include new culture models, additional interviews with leaders in progenitor cells, engineered eye tissue, and xeno organs from stem cells, as well as new information on "organs on chips" and adult progenitor cells. In the past decades our understanding of stem cell biology has increased tremendously. Many types of stem cells have been discovered in tissues that everyone presumed were unable to regenerate in adults, the heart and the brain in particular. There is vast interest in stem cells from biologists and clinicians who see the potential for regenerative medicine and future treatments for chronic diseases like Parkinson's, diabetes, and spinal cord lesions, based on the use of stem cells; and from entrepreneurs in biotechnology who expect new commercial applications ranging from drug discovery to transplantation therapies. Explains in straightforward, non-specialist language the basic biology of stem cells and their applications in modern medicine and future therapy Includes extensive coverage of adult and embryonic stem cells both historically and in contemporary practice Richly illustrated to assist in understanding how research is done and the current hurdles to clinical practice

Download or read book New Frontiers of Network Analysis in Systems Biology written by Avi Ma'ayan and published by Springer. This book was released on 2012-06-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.

Download or read book Systems Biology of Cell Signaling written by Zhike Zi and published by Frontiers Media SA. This book was released on 2022-02-17 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topic Editor Prof. Xing is in collaboration with ATCC (https://www.atcc.org/) on testing some of their cell lines in research. All other Topic Editors declare no competing interests with regards to the Research Topic subject.

Download or read book Computational Prediction of Protein Complexes from Protein Interaction Networks written by Sriganesh Srihari and published by Morgan & Claypool. This book was released on 2017-05-30 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.