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Bioinformatics with Python Cookbook
Discover modern, next-generation sequencing libraries from the powerful Python ecosystem to perform cutting-edge research and analyze large amounts of biological data Key Features Perform complex bioinformatics analysis using the most essential Python libraries and applications Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and much more Explore various statistical and machine learning techniques for bioinformatics data analysis Book Description Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks...
Functional Python Programming
Python isn't all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when you need to use it. Now with detailed exercises at the end of every chapter! Purchase of the print or Kindle book includes a free eBook in PDF format. Key FeaturesLearn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsRevised to cover new features of Python 3.10, exercises at the end of every chapter, and moreBook Description Not enough developers understand the benefits of functional programming, or even what it is. Author Steven...
Machine Learning in Biotechnology and Life Sciences
Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guide Key FeaturesLearn the applications of machine learning in biotechnology and life science sectorsDiscover exciting real-world applications of deep learning and natural language processingUnderstand the general process of deploying models to cloud platforms such as AWS and GCPBook Description The booming fields of biotechnology and life sciences have seen drastic changes over the last few years. With competition growing in every corner, companies around the globe are looking to data-driven methods such as machine learning to optimize processes and reduce ...
R Bioinformatics Cookbook
Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystem Key Features Apply modern R packages to process biological data using real-world examples Represent biological data with advanced visualizations and workflows suitable for research and publications Solve real-world bioinformatics problems such as transcriptomics, genomics, and phylogenetics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You’ll learn how to create a...
Fast Python
Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications. Fast Python is a toolbox of techniques for high performance Python including: Writing efficient pure-Python code Optimizing the NumPy and pandas libraries Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures...
Scale Matters
Scale matters. When conducting research and writing, scholars upscale and downscale. So do the subjects of their work – we scale, they scale. Although scaling is an integrant part of research, we rarely reflect on scaling as a practice and what happens when we engage with it in scholarly work. The contributors aim to change this: they explore the pitfalls and potentials of scaling in an interdisciplinary dialogue. The volume brings together scholars from diverse fields, working on different geographical areas and time periods, to engage with scale-conscious questions regarding human sociality, culture, and evolution. With contributions by Nurit Bird-David, Robert L. Kelly, Charlotte Damm, Andreas Maier, Brian Codding, Elspeth Ready, Bram Tucker, Graeme Warren and others.
Quantifying Language Dynamics
Quantifying Language Dynamics: On the Cutting Edge of Areal and Phylogenetic Linguistics contains specially-selected papers introducing new, quantitative methodologies for understanding language interaction and evolution. It draws upon data from the phonologies, morphologies, numeral systems, constituent orders, case systems, and lexicons of the world’s languages, bringing large datasets and sophisticated statistical techniques to bear on fundamental questions such as: how to identify and account for areal distributions, when language contact leads to grammatical simplification, whether patterns of morphological borrowing can be predicted, how to deal with contact within phylogenetic models, and what new techniques are most effective for classification of the world’s languages. The book is relevant for students and scholars in general linguistics, typology, and historical and comparative linguistics.
Bioinformatics with Python Cookbook, Second Edition
Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data Key Features Perform complex bioinformatics analysis using the most important Python libraries and applications Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and more Explore various statistical and machine learning techniques for bioinformatics data analysis Book Description Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data. This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, ...
Ethnolinguistic Prehistory
This volume provides the most up-to-date and holistic but compact account of the peopling of the world from the perspective of language, genes and material culture, presenting a view from the Himalayas. The phylogeny of language families, the chronology of branching of linguistic family trees and the historical and modern geographical distribution of language communities inform us about the spread of languages and linguistic phyla. The global distribution and the chronology of spread of Y chromosomal haplogroups appears closely correlated with the spread of language families. New findings on ancient DNA have greatly enhanced our understanding of the prehistory and provenance of our biological ancestors. The archaeological study of past material cultures provides yet a third independent window onto the complex prehistory of our species.
Introdução À Programação Para Bioinformática Com Biopython
Este é o primeiro livro da série Introdução à Programação para Bioinformática . Nesta edição abordaremos a linguagem de programação Python e a biblioteca Biopython. Assim, este livro se destina a profissionais de diversas formações que necessitem analisar dados biológicos, tais como bioinformatas, biólogos, geneticistas, biomédicos, microbiologistas, físicos, químicos e até mesmo a profissionais de tecnologia da informação. Esse livro se destina a todo aquele que quer se aventurar no universo da Bioinformática e deseja ter um guia para seus primeiros passos na programação para Bioinformática. Boa parte das pessoas que adentram o mundo da programação acredita que p...
