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Multimodal And Integrative Analysis Of Single Cell Or Bulk Sequencing Data
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Book Synopsis Multimodal and Integrative Analysis of Single-Cell or Bulk Sequencing Data by : Geng Chen
Download or read book Multimodal and Integrative Analysis of Single-Cell or Bulk Sequencing Data written by Geng Chen and published by Frontiers Media SA. This book was released on 2021-04-07 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integrative analysis of single-cell and/or bulk multi-omics sequencing data by : Geng Chen
Download or read book Integrative analysis of single-cell and/or bulk multi-omics sequencing data written by Geng Chen and published by Frontiers Media SA. This book was released on 2023-03-13 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing Studies by : Sheng Yang
Download or read book Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing Studies written by Sheng Yang and published by Frontiers Media SA. This book was released on 2021-09-09 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Methods for Single-Cell Data Analysis by : Guo-Cheng Yuan
Download or read book Computational Methods for Single-Cell Data Analysis written by Guo-Cheng Yuan and published by Humana Press. This book was released on 2019-02-14 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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 Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
Book Synopsis Integrative Approaches to Single Cell RNA Sequencing Analysis by : Travis S. Johnson
Download or read book Integrative Approaches to Single Cell RNA Sequencing Analysis written by Travis S. Johnson and published by . This book was released on 2020 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are trillions of cells, which make up hundreds of different cell types, found in the human body. These cells make up not only tissues but dictate the functions of those tissues. In diseased tissues, cell types can have a profound impact on the outcome of a patient. For these reasons, having a comprehensive understanding of cell types is important. In the past 10 years, single cell RNA sequencing has profoundly impacted our understanding of known and previously unknown cell types. Along with the numerous single cell datasets, a multitude of bulk expression datasets, multi-omic datasets, and curated information also exist. All of these data sources must be leveraged together to most improve our understanding of human tissues and diseases at the single cell level. We developed methodologies, frameworks, and algorithms that leverage multiple diverse datasets simultaneously to better understand single cell RNA sequencing data and as a result tissue heterogeneity as a whole.
Book Synopsis Systems Genetics by : Florian Markowetz
Download or read book Systems Genetics written by Florian Markowetz and published by Cambridge University Press. This book was released on 2015-07-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies.
Book Synopsis Relative Distribution Methods in the Social Sciences by : Mark S. Handcock
Download or read book Relative Distribution Methods in the Social Sciences written by Mark S. Handcock and published by Springer Science & Business Media. This book was released on 2006-05-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods.
Book Synopsis Introduction to Single Cell Omics by : Xinghua Pan
Download or read book Introduction to Single Cell Omics written by Xinghua Pan and published by Frontiers Media SA. This book was released on 2019-09-19 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single-cell omics is a progressing frontier that stems from the sequencing of the human genome and the development of omics technologies, particularly genomics, transcriptomics, epigenomics and proteomics, but the sensitivity is now improved to single-cell level. The new generation of methodologies, especially the next generation sequencing (NGS) technology, plays a leading role in genomics related fields; however, the conventional techniques of omics require number of cells to be large, usually on the order of millions of cells, which is hardly accessible in some cases. More importantly, harnessing the power of omics technologies and applying those at the single-cell level are crucial since every cell is specific and unique, and almost every cell population in every systems, derived in either vivo or in vitro, is heterogeneous. Deciphering the heterogeneity of the cell population hence becomes critical for recognizing the mechanism and significance of the system. However, without an extensive examination of individual cells, a massive analysis of cell population would only give an average output of the cells, but neglect the differences among cells. Single-cell omics seeks to study a number of individual cells in parallel for their different dimensions of molecular profile on genome-wide scale, providing unprecedented resolution for the interpretation of both the structure and function of an organ, tissue or other system, as well as the interaction (and communication) and dynamics of single cells or subpopulations of cells and their lineages. Importantly single-cell omics enables the identification of a minor subpopulation of cells that may play a critical role in biological process over a dominant subpolulation such as a cancer and a developing organ. It provides an ultra-sensitive tool for us to clarify specific molecular mechanisms and pathways and reveal the nature of cell heterogeneity. Besides, it also empowers the clinical investigation of patients when facing a very low quantity of cell available for analysis, such as noninvasive cancer screening with circulating tumor cells (CTC), noninvasive prenatal diagnostics (NIPD) and preimplantation genetic test (PGT) for in vitro fertilization. Single-cell omics greatly promotes the understanding of life at a more fundamental level, bring vast applications in medicine. Accordingly, single-cell omics is also called as single-cell analysis or single-cell biology. Within only a couple of years, single-cell omics, especially transcriptomic sequencing (scRNA-seq), whole genome and exome sequencing (scWGS, scWES), has become robust and broadly accessible. Besides the existing technologies, recently, multiplexing barcode design and combinatorial indexing technology, in combination with microfluidic platform exampled by Drop-seq, or even being independent of microfluidic platform but using a regular PCR-plate, enable us a greater capacity of single cell analysis, switching from one single cell to thousands of single cells in a single test. The unique molecular identifiers (UMIs) allow the amplification bias among the original molecules to be corrected faithfully, resulting in a reliable quantitative measurement of omics in single cells. Of late, a variety of single-cell epigenomics analyses are becoming sophisticated, particularly single cell chromatin accessibility (scATAC-seq) and CpG methylation profiling (scBS-seq, scRRBS-seq). High resolution single molecular Fluorescence in situ hybridization (smFISH) and its revolutionary versions (ex. seqFISH, MERFISH, and so on), in addition to the spatial transcriptome sequencing, make the native relationship of the individual cells of a tissue to be in 3D or 4D format visually and quantitatively clarified. On the other hand, CRISPR/cas9 editing-based In vivo lineage tracing methods enable dynamic profile of a whole developmental process to be accurately displayed. Multi-omics analysis facilitates the study of multi-dimensional regulation and relationship of different elements of the central dogma in a single cell, as well as permitting a clear dissection of the complicated omics heterogeneity of a system. Last but not the least, the technology, biological noise, sequence dropout, and batch effect bring a huge challenge to the bioinformatics of single cell omics. While significant progress in the data analysis has been made since then, revolutionary theory and algorithm logics for single cell omics are expected. Indeed, single-cell analysis exert considerable impacts on the fields of biological studies, particularly cancers, neuron and neural system, stem cells, embryo development and immune system; other than that, it also tremendously motivates pharmaceutic RD, clinical diagnosis and monitoring, as well as precision medicine. This book hereby summarizes the recent developments and general considerations of single-cell analysis, with a detailed presentation on selected technologies and applications. Starting with the experimental design on single-cell omics, the book then emphasizes the consideration on heterogeneity of cancer and other systems. It also gives an introduction of the basic methods and key facts for bioinformatics analysis. Secondary, this book provides a summary of two types of popular technologies, the fundamental tools on single-cell isolation, and the developments of single cell multi-omics, followed by descriptions of FISH technologies, though other popular technologies are not covered here due to the fact that they are intensively described here and there recently. Finally, the book illustrates an elastomer-based integrated fluidic circuit that allows a connection between single cell functional studies combining stimulation, response, imaging and measurement, and corresponding single cell sequencing. This is a model system for single cell functional genomics. In addition, it reports a pipeline for single-cell proteomics with an analysis of the early development of Xenopus embryo, a single-cell qRT-PCR application that defined the subpopulations related to cell cycling, and a new method for synergistic assembly of single cell genome with sequencing of amplification product by phi29 DNA polymerase. Due to the tremendous progresses of single-cell omics in recent years, the topics covered here are incomplete, but each individual topic is excellently addressed, significantly interesting and beneficial to scientists working in or affiliated with this field.
Book Synopsis Multi-omic Data Integration in Oncology by : Chiara Romualdi
Download or read book Multi-omic Data Integration in Oncology written by Chiara Romualdi and published by Frontiers Media SA. This book was released on 2020-12-03 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Immunotherapy and multimodality therapy for lung cancer by : Qun Xue
Download or read book Immunotherapy and multimodality therapy for lung cancer written by Qun Xue and published by Frontiers Media SA. This book was released on 2024-02-07 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modern Statistics for Modern Biology by : SUSAN. HUBER HOLMES (WOLFGANG.)
Download or read book Modern Statistics for Modern Biology written by SUSAN. HUBER HOLMES (WOLFGANG.) and published by Cambridge University Press. This book was released on 2018 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Mouse Nervous System by : Charles Watson
Download or read book The Mouse Nervous System written by Charles Watson and published by Academic Press. This book was released on 2011-11-28 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mouse Nervous System provides a comprehensive account of the central nervous system of the mouse. The book is aimed at molecular biologists who need a book that introduces them to the anatomy of the mouse brain and spinal cord, but also takes them into the relevant details of development and organization of the area they have chosen to study. The Mouse Nervous System offers a wealth of new information for experienced anatomists who work on mice. The book serves as a valuable resource for researchers and graduate students in neuroscience. Systematic consideration of the anatomy and connections of all regions of the brain and spinal cord by the authors of the most cited rodent brain atlases A major section (12 chapters) on functional systems related to motor control, sensation, and behavioral and emotional states A detailed analysis of gene expression during development of the forebrain by Luis Puelles, the leading researcher in this area Full coverage of the role of gene expression during development and the new field of genetic neuroanatomy using site-specific recombinases Examples of the use of mouse models in the study of neurological illness
Download or read book Statistical Genomics written by Ewy Mathé and published by Humana. This book was released on 2016-03-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four sections. The first section discusses overview material and resources that can be applied across topics mentioned throughout the book. The second section covers prominent public repositories for genomic data. The third section presents several different biological applications of statistical genomics, and the fourth section highlights software tools that can be used to facilitate ad-hoc analysis and data integration. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls. Through and practical, Statistical Genomics: Methods and Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.
Book Synopsis The Neuroscience of Creativity by : Anna Abraham
Download or read book The Neuroscience of Creativity written by Anna Abraham and published by Cambridge University Press. This book was released on 2018-10-25 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how the creative brain works across musical, literary, visual artistic, kinesthetic and scientific spheres, and how to study it.
Book Synopsis Biology and Treatment of High-Risk CLL by : John Riches
Download or read book Biology and Treatment of High-Risk CLL written by John Riches and published by Frontiers Media SA. This book was released on 2023-03-31 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Immune Resistance in Cancer Therapy by : Lin Qi
Download or read book Adaptive Immune Resistance in Cancer Therapy written by Lin Qi and published by Frontiers Media SA. This book was released on 2024-02-16 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The adaptive immune resistance (AIR) mechanism refers to the various strategies employed by tumours to adapt and ultimately to overcome immune attack. The AIR mechanism was firstly identified in the selective induction of programmed cell death 1 ligand 1 (PDL1) by interferon gamma of tumors. The inhibition of adaptive immune resistance underlies the responses to PD-1 or PD-L1–blocking antibodies, and may have relevance for the development of other cancer immunotherapy strategies. Therefore, identifying specific AIR mechanisms is of great significance to develop novel drugs and enhance the efficacy of cancer treatment. In this research topic, we aim to generate a collection of articles that discuss the AIR mechanisms, the classification of AIRs, and the current and future cancer therapy strategies based on AIR. Of particular, these articles can focus on exploring the AIR mechanisms in different cancer types and further identify the association between AIR and tumour microenvironment (TME).
Book Synopsis Advances in Bioinformatics and Computational Biology by : Peter F. Stadler
Download or read book Advances in Bioinformatics and Computational Biology written by Peter F. Stadler and published by Springer Nature. This book was released on 2021-11-23 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Brazilian Symposium on Bioinformatics, BSB 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually The 10 revised full papers and 5 short papers were carefully reviewed and selected from 28 submissions. The papers address a broad range of current topics in computational biology and bioinformatics.