Computational biology / bioinformatics

This book aims to understand biological evolution through a physical approach, focusing on the macroscopic aspects of the biological genome.

This book aims to understand biological evolution through a physical approach, focusing on the macroscopic aspects of the biological genome.

Cyberbiosecurity applies cybersecurity research to the field of biology, and, to a lesser degree, applies biological principles to the field of cybersecurity.

This book is about the dynamics of neural systems and should be suitable for those with a background in mathematics, physics, or engineering who want to see how their knowledge and skill sets can be applied in a neurobiological context.

This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology.

Cyberbiosecurity applies cybersecurity research to the field of biology, and, to a lesser degree, applies biological principles to the field of cybersecurity.

This book is about the dynamics of neural systems and should be suitable for those with a background in mathematics, physics, or engineering who want to see how their knowledge and skill sets can be applied in a neurobiological context.

This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology.

This volume explores computational vaccine design and the technologies that support it.

This textbook covers all the essential elements of pharmacokinetics, from basics to applications.

This book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed'2022).

This detailed book presents recent methodologies for the task of inspecting the genomic world of plants, extracting valuable information, and presenting it in a readable way.

This volume details state-of-the- art methods on computer-aided antibody design.

This volume details step-by-step instructions on biomedical literature mining protocols.

This volume describes computational approaches to predict multitudes of PTM sites.

This volume provides readers with a broad collection of theoretical, computational, and experimental methods to quantitatively study the properties of phase-separate biomolecular condensates in diverse systems.

MATLAB By Example guides the reader through each step of writing MATLAB programs.

This volume provides practical guidance on a variety of techniques and steps to ensure successful variant calling.

Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field.

Intelligent Vehicular Network and Communications: Fundamentals, Architectures and Solutions begins with discussions on how the transportation system has transformed into today's Intelligent Transportation System (ITS).

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining.

Understanding Cancer from a Systems Biology Point of View: From Observation to Theory and Back starts with a basic question, why do we sometimes observe accelerated metastatic growth after resection of primary tumors?

Brain-Computer Interfaces: Lab Experiments to Real-World Applications, the latest volume in the Progress in Brain Research series, focuses on new trends and developments.

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques.

Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales.

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.

Clinical Research Computing: A Practitioner's Handbook deals with the nuts-and-bolts of providing informatics and computing support for clinical research.

First published in 1963, Advances in Parasitology contains comprehensive and up-to-date reviews in all areas of interest in contemporary parasitology.

Essential MATLAB for Engineers and Scientists, Seventh Edition, provides a concise, balanced overview of MATLAB's functionality, covering both fundamentals and applications.

Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.

Get up and running with AutoCAD using Gindis' combination of step-by-step instruction, examples and insightful explanations.

A Comprehensive Physically Based Approach to Modeling in Bioengineering and Life Sciences provides a systematic methodology to the formulation of problems in biomedical engineering and the life sciences through the adoption of mathematical models based on physical principles, such as the conservation of mass, electric charge, momentum, and energy.

Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences.

Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats.

Essential MATLAB for Engineers and Scientists, Eighth Edition provides a concise and balanced overview of MATLAB's functionality, covering both fundamentals and applications.

Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals.

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications.

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare.

26th European Symposium on Computer Aided Process Engineering contains the papers presented at the 26th European Society of Computer-Aided Process Engineering (ESCAPE) Event held at Portoroz Slovenia, from June 12th to June 15th, 2016.

This volume presents a collection of versatile methodologies to investigate prokaryotic gene regulation, with focus on the different levels of information processing and usefulness for various model organisms, whether archaeal, bacterial, or both.

The volume presents a small selection of state-of-the-art approaches for studying transposable elements(TE).

This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics.

Systems biology refers to the quantitative analysis of the dynamic interactions among several components of a biological system and aims to understand the behavior of the system as a whole.

The robot "e;concept"e; was clearly established by those many creative historical realizations, such as those recalled above.

This book is a collection of principles and current practices in omics research, applied to skeletal muscle physiology and disorders.

This textbook provides an introduction to theoretical biology using specific topics and explains the main mathematical methods.

Simplify your DevOps roles with DevOps tools and techniquesKey FeaturesLearn to utilize business resources effectively to increase productivity and collaborationLeverage the ultimate open source DevOps tools to achieve continuous integration and continuous delivery (CI/CD)Ensure faster time-to-market by reducing overall lead time and deployment downtimeBook DescriptionThe implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops).

Get up to speed with various penetration testing techniques and resolve security threats of varying complexityKey FeaturesEnhance your penetration testing skills to tackle security threatsLearn to gather information, find vulnerabilities, and exploit enterprise defensesNavigate secured systems with the most up-to-date version of Kali Linux (2019.

Learn to design and deploy fully functioning microservices for your applications from scratch using Swift, Docker, and AWSKey FeaturesUnderstand server-side Swift development concepts for building your first microserviceBuild microservices using Vapor 4 and deploy them to the cloud using DockerLearn effective techniques for enhancing maintainability and stability of your Swift applicationsBook DescriptionThe capabilities of the Swift programming language are extended to server-side development using popular frameworks such as Vapor.

Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional settingKey FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook DescriptionGolang is one of the fastest growing programming languages in the software industry.