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Advances in bioinformatics / Vijai Singh, Ajay Kumar (editor)
Singapore : Springer, 2021
xiv, 446 pages. : illustrations (black and white, and colour) ; 24 cm.
Ký hiệu phân loại (DDC): 570.285
This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinformatics tools in the development of precision medicine. This book offers a valuable source of information for not only beginners in bioinformatics, but also for students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in many areas"
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Algorithms for next-generation sequencing / Wing-Kin Sung
Boca Raton : CRC Press, 2017
347 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 570.285
Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology
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Bioinformatics algorithms : design and implementation in Python / Miguel P Rocha; Pedro G Ferreira
London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier,2018
395 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 570.285
Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications.
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Bioinformatics for evolutionary biologists / Bernhard Haubold; Angelika Börsch-Haubold
Switzerland : Springer Berlin Heidelberg, 2017.
323 pages. : illustrations
Ký hiệu phân loại (DDC): 570.285
This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level to enable learning by doing. Students solve the problems in the same computational environment used for decades in science? the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems.
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Biological distance analysis : forensic and bioarchaeological perspectives / [edited by] Marin A Pilloud; Joseph T Hefner
London : Academic Press is an imprint of Elsevier, 2016
xxix, 487 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 577.88
Biological Distance Analysis: Forensic and Bioarchaeological Perspectives synthesizes research within the realm of biological distance analysis, highlighting current work within the field and discussing future directions. The book is divided into three main sections. The first section clearly outlines datasets and methods within biological distance analysis, beginning with a brief history of the field and how it has progressed to its current state. The second section focuses on approaches using the individual within a forensic context, including ancestry estimation and case studies. The final section concentrates on population-based bioarchaeological approaches, providing key techniques and examples from archaeological samples. The volume also includes an appendix with additional resources available to those interested in biological distance analyses. Defines datasets and how they are used within biodistance analysisApplies methodology to individual and population studiesBridges the sub-fields of forensic anthropology and bioarchaeologyHighlights current research and future directions of biological distance analysisIdentifies statistical programs and datasets for use in biodistance analysisContains cases studies and thorough index for those interested in biological distance analyses.
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