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Author : Guo-Cheng Yuan
Publisher :
ISBN 13 : 9781493990573
Total Pages : 271 pages
Book Rating : 4.78/5 ( download)
Download or read book Computational Methods for Single-cell Data Analysis written by Guo-Cheng Yuan and published by . This book was released on 2019 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guo-Cheng Yuan
Publisher : Humana Press
ISBN 13 : 9781493990566
Total Pages : 271 pages
Book Rating : 4.6X/5 ( download)
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.
Author : Ion Mandoiu
Publisher : John Wiley & Sons
ISBN 13 : 1119272173
Total Pages : 464 pages
Book Rating : 4.75/5 ( download)
Download or read book Computational Methods for Next Generation Sequencing Data Analysis written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2016-09-12 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithms Discusses the mathematical and computational challenges in NGS technologies Covers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics.
Author : Anand R. Asthagiri
Publisher : Academic Press
ISBN 13 : 0123884039
Total Pages : 427 pages
Book Rating : 4.39/5 ( download)
Download or read book Computational Methods in Cell Biology written by Anand R. Asthagiri and published by Academic Press. This book was released on 2012-04-13 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational methods are playing an ever increasing role in cell biology. This volume of Methods in Cell Biology focuses on Computational Methods in Cell Biology and consists of two parts: (1) data extraction and analysis to distill models and mechanisms, and (2) developing and simulating models to make predictions and testable hypotheses. Focuses on computational methods in cell biology Split into 2 parts--data extraction and analysis to distill models and mechanisms, and developing and simulating models to make predictions and testable hypotheses Emphasizes the intimate and necessary connection with interpreting experimental data and proposing the next hypothesis and experiment
Author : Eija Korpelainen
Publisher : CRC Press
ISBN 13 : 1466595019
Total Pages : 322 pages
Book Rating : 4.19/5 ( download)
Download or read book RNA-seq Data Analysis written by Eija Korpelainen and published by CRC Press. This book was released on 2014-09-19 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le
Author : Tsai Jeffrey J P
Publisher : World Scientific
ISBN 13 : 981320799X
Total Pages : 232 pages
Book Rating : 4.98/5 ( download)
Download or read book Computational Methods With Applications In Bioinformatics Analysis written by Tsai Jeffrey J P and published by World Scientific. This book was released on 2017-06-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Author : William C. Cho
Publisher : Frontiers Media SA
ISBN 13 : 283252477X
Total Pages : 427 pages
Book Rating : 4.70/5 ( download)
Download or read book 10 Years of frontiers in genetics: Past discoveries, current challenges and future perspectives written by William C. Cho and published by Frontiers Media SA. This book was released on 2023-06-02 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guanglin Li
Publisher : Frontiers Media SA
ISBN 13 : 2889766438
Total Pages : 489 pages
Book Rating : 4.37/5 ( download)
Download or read book Methods and Applications: Computational Genomics written by Guanglin Li and published by Frontiers Media SA. This book was released on 2022-07-28 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John M. Chambers
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.33/5 ( download)
Download or read book Computational Methods for Data Analysis written by John M. Chambers and published by John Wiley & Sons. This book was released on 1977 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming; Data management and manipulation; Numerical computations; Linear models; Nonlinear models; Simulation of Random processes; Computational graphics.
Author : Alessandro Laganà
Publisher : Springer Nature
ISBN 13 : 303091836X
Total Pages : 341 pages
Book Rating : 4.61/5 ( download)
Download or read book Computational Methods for Precision Oncology written by Alessandro Laganà and published by Springer Nature. This book was released on 2022-03-01 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.
