Michael Kaufmann - Böcker

Over the last decade Life Science has undergone an accelerated evolution, culminating in the -omics era characterized by the development of a multitude of high throughput methods that are becoming more routinely applied in biochemistry labs. In Functional Genomics: Methods and Protocols, Second Edition expert researchers in the field detail many of the methods which are now commonly used for studies in the life sciences focusing on the dynamic aspects of the transcriptome, proteome and metabolome, respectively.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 key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Functional Genomics: Methods and Protocols, Second Edition seeks to aid scientists in establishing  or extending technologies and techniques in their laboratories.

Reflecting developments in genome editing, this third edition volume fully updates a collection of key techniques for the study of functional genomics. The book is broken up into sections on bioinformatics, DNA, RNA, and protein analysis, as well as a closing section entitled “From Genotype to Phenotype.” 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.Updated and authoritative, Functional Genomics: Methods and Protocols, Third Edition seeks to aid scientists in establishing or extending technologies and techniques in their laboratories.

Reflecting developments in genome editing, this third edition volume fully updates a collection of key techniques for the study of functional genomics. The book is broken up into sections on bioinformatics, DNA, RNA, and protein analysis, as well as a closing section entitled “From Genotype to Phenotype.” 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.Updated and authoritative, Functional Genomics: Methods and Protocols, Third Edition seeks to aid scientists in establishing or extending technologies and techniques in their laboratories.

Over the last decade Life Science has undergone an accelerated evolution, culminating in the -omics era characterized by the development of a multitude of high throughput methods that are becoming more routinely applied in biochemistry labs. In Functional Genomics: Methods and Protocols, Second Edition expert researchers in the field detail many of the methods which are now commonly used for studies in the life sciences focusing on the dynamic aspects of the transcriptome, proteome and metabolome, respectively.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 key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Functional Genomics: Methods and Protocols, Second Edition seeks to aid scientists in establishing  or extending technologies and techniques in their laboratories.

Automate your build, test, and deploy pipelines using GitHub Actions! Continuous delivery (CI/CD) pipelines help you automate the software development process and maximize your team's efficiency.  GitHub Actions in Action teaches you to build real-world build, test, and deploy pipelines in GitHub Actions through hands-on labs and projects. In  GitHub Actions in Action you will learn how to: Create and share GitHub Actions workflows Automate CI/CD workloads and other GitHub tasks Secure release pipelines with secrets, variables, and environments Support compliance frameworks Create safe and scalable self-hosted runners Written by three Microsoft MVPs and tech reviewed by a Staff DevOps Architect from GitHub, this book delivers the hardworking skills and advice you'll need to be successful on the job. DevOps engineers will love  GitHub Actions in Action's coverage of reliable methods for Infrastructure-as-Code and automating cloud environments. You'll follow an extended example application for selling tickets, taking it all the way from initial build to cloud deployment.   About the technology:   Believe it or not, CI/CD can be simple! With GitHub Actions, you can automate your entire dev process using just the tools built into GitHub—no external frameworks or complex integrations required. GitHub Actions is secure, reliable, and best of all, easy. This book will get you started.

Take your DevOps and DevSecOps game to the next level by leveraging the power of the GitHub toolset in practiceKey FeaturesRelease software faster and with confidenceIncrease your productivity by spending more time on software delivery and less on fixing bugs and administrative tasksDeliver high-quality software that is more stable, scalable, and secureBook DescriptionThis practical guide to DevOps uses GitHub as the DevOps platform and shows how you can leverage the power of GitHub for collaboration, lean management, and secure and fast software delivery.The chapters provide simple solutions to common problems, thereby helping teams that are already on their DevOps journey to further advance into DevOps and speed up their software delivery performance. From finding the right metrics to measure your success to learning from other teams’ success stories without merely copying what they’ve done, this book has it all in one place. As you advance, you’ll find out how you can leverage the power of GitHub to accelerate your value delivery – by making work visible with GitHub Projects, measuring the right metrics with GitHub Insights, using solid and proven engineering practices with GitHub Actions and Advanced Security, and moving to event-based and loosely coupled software architecture.By the end of this GitHub book, you'll have understood what factors influence software delivery performance and how you can measure your capabilities, thus realizing where you stand in your journey and how you can move forward.What you will learnEffectively measure software delivery performanceAdopt DevOps and lean management techniques in your teamsPlan, track, and visualize your work using GitHub Issues and ProjectsUse continuous delivery with GitHub Actions and PackagesScale quality through testing in production and chaos engineering“Shift left” security and secure your entire software supply chainUse DevSecOps practices with GitHub Advanced SecuritySecure your code with code scanning, secret scanning, and DependabotWho this book is forThis book is for developers, solutions architects, DevOps engineers, and SREs, as well as for engineering or product managers who want to enhance their software delivery performance. Whether you're new to DevOps, already have experience with GitHub Enterprise, or come from a platform such as Azure DevOps, Team Foundation Server, GitLab, Bitbucket, Puppet, Chef, or Jenkins but struggle to achieve maximum performance, you’ll find this book beneficial.

Authored by a Microsoft Regional Director, this book shows you how to leverage the power of the community-driven GitHub Actions workflow platform to automate repetitive engineering tasksKey FeaturesAutomate CI/CD workflows and deploy securely to cloud providers like Azure, AWS, or GCP using OpenIDCreate your own custom actions with Docker, JavaScript programming, or shell scripts and share them with othersDiscover ways to automate complex scenarios beyond the basic ones documented in GitHubBook DescriptionSay goodbye to tedious tasks! GitHub Actions is a powerful workflow engine that automates everything in the GitHub ecosystem, letting you focus on what matters most.This book explains the GitHub Actions workflow syntax, the different kinds of actions, and how GitHub-hosted and self-hosted workflow runners work. You’ll get tips on how to author and debug GitHub Actions and workflows with Visual Studio Code (VS Code), run them locally, and leverage the power of GitHub Copilot. The book uses hands-on examples to walk you through real-world use cases that will help you automate the entire release process. You’ll cover everything, from automating the generation of release notes to building and testing your software and deploying securely to Azure, Amazon Web Services (AWS), or Google Cloud using OpenID Connect (OIDC), secrets, variables, environments, and approval checks.The book goes beyond CI/CD by demonstrating recipes to execute IssueOps and automate other repetitive tasks using the GitHub CLI, GitHub APIs and SDKs, and GitHub Token. You’ll learn how to build your own actions and reusable workflows to share building blocks with the community or within your organization.By the end of this GitHub book, you'll have gained the skills you need to automate tasks and work with remarkable efficiency and agility.What you will learnAuthor and debug GitHub Actions workflows with VS Code and CopilotRun your workflows on GitHub-provided VMs (Linux, Windows, and macOS) or host your own runners in your infrastructureUnderstand how to secure your workflows with GitHub ActionsBoost your productivity by automating workflows using GitHub's powerful tools, such as the CLI, APIs, SDKs, and access tokensDeploy to any cloud and platform in a secure and reliable way with staged or ring-based deploymentsWho this book is forThis book is for anyone looking for a practical approach to learning GitHub Actions, regardless of their experience level. Whether you're a software developer, a DevOps engineer, anyone who has already experimented with Actions, or someone completely new to CI/CD tools like Jenkins or Azure Pipelines, you’ll find expert insights in this book. Basic knowledge of using Git and command lines is a must.

This LNCS 13453 constitutes the thoroughly refereed proceedings of the 48th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2022.The 32 full papers presented in this volume were carefully reviewed and selected from a total of 96 submissions.

This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations.In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained.This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases.The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.

To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic and the concept of likelihood and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic. By application of this theory, the book guides the reader towards a gradual segmentation of customers which can enhance return on targeted marketing campaigns. The algorithms presented can be used for visualization, selection and prediction. The book shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups. This book is for researchers, analytics professionals, data miners and students interested in fuzzy classification for marketing analytics.

Git hat sich als Quellcodeverwaltung durchgesetzt und ist der De-facto-Standard in der Softwareentwicklung. Alle Unternehmen, die noch nicht auf Git sind, werden die nächsten Jahre wechseln. Und nicht nur die Entwicklung - auch Administration, Sicherheit und Dokumentation finden zunehmend auf Git statt. Git ist damit heute das wichtigste Werkzeug für alle digitalen Produkte - quasi die Werkbank. Wenn Sie wissen wollen, wie Sie Git richtig implementieren und welche Regeln Sie für die Zusammenarbeit aufstellen sollten, dann sind Sie hier richtig. Dieses Buch ist eine Einführung in das effektive Arbeiten mit Git - geeignet sowohl für Berufseinsteiger als auch für erfahrene Entwickler, die zu Git wechseln.

Graph drawing comprises all aspects of visualizing structural relations between objects. The range of topics dealt with extends from graph theory, graph algorithms, geometry, and topology to visual languages, visual perception, and information visualization, and to computer-human interaction and graphics design. This monograph gives a systematic overview of graph drawing and introduces the reader gently to the state of the art in the area. The presentation concentrates on algorithmic aspects, with an emphasis on interesting visualization problems with elegant solutions. Much attention is paid to a uniform style of writing and presentation, consistent terminology, and complementary coverage of the relevant issues throughout the 10 chapters.This tutorial is ideally suited as an introduction for newcomers to graph drawing. Ambitioned practitioners and researchers active in the area will find it a valuable source of reference and information.

This book constitutes the thoroughly refereed post-proceedings of the 14th International Symposium on Graph Drawing, GD 2006, held in Karlsruhe, Germany. The 33 revised full papers and 5 revised short papers presented together with 2 invited talks, 1 system demo, 2 poster papers address all current aspects in graph drawing, ranging from foundational and methodological issues to applications for various classes of graphs in a variety of fields.

Erstmals wird in diesem Buch der Versuch unternommen, die Beiträge klassischer Disziplinen wie Genetik, Enzymologie, Mikrobiologie, Biotechnik, Toxikologie, Informatik und Ingenieurwissenschaften in einen neuen Wirkzusammenhang zu stellen und dadurch zu einem erweiterten Arbeitsansatz in der biologischen Schadstoffbehandlung zu kommen. Die künstlich beschleunigte Evolution von Mikroorganismen mit dem patentierten ArtEv-Verfahren setzt die überhaupt erreichbare biologische Potenz von Mikroorganismen frei. Sie weist damit der immanenten Fähigkeit lebendiger Organismen zur Selbstoptimierung den ihr gebührenden Stellenwert zu.

Plasmaphysik spielt heute in vielen Anwendungen eine wichtige Rolle, beispielsweise in dem weiten Feld der Astrophysik und zahlreichen modernen Technologien. Dieses Buch führt in die Grundlagen des Themas ein und erschließt den Zugang zu dem breiten Spektrum der Anwendungen. Einen Schwerpunkt bildet dabei die Fusionsforschung, die sich mit der Verschmelzung von Wasserstoffisotopen zur Energiegewinnung beschäftigt. Der Leser sollte mit der Elektrodynamik und den grundlegenden Kenntnissen der statistischen Mechanik und der Quantenmechanik vertraut sein.

This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:SQL and NoSQL databases, and their respective management systemsThe nature and uses of Big DataA high-level view of the organization of data managementData Modeling and Consistency Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.A full chapter probes the challenges of Ensuring Data Consistency, covering:Multi-User OperationTroubleshootingConsistency in Massive Distributed DataComparison of the ACID and BASE consistency models, and moreSystem Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics. Post-Relational and NoSQL DatabasesThe chapter on post-relational databases discusses the limits of SQL – and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. A final chapter covers NoSQL Databases, along withDevelopment of Non-Relational Technologies,Key-Value, Column-Family and Document StoresXML Databases and Graphic Databases, and moreThe book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

Die Autoren führen in relationale (SQL) und nicht-relationale (NoSQL) Datenbanken ein. Die 9. Auflage erklärt die drei Typen relationale Datenbanken, Graphdatenbanken und Dokumentdatenbanken im Detail anhand der Themen Datenbankmanagement, Datenbankmodellierung, Datenbanksprachen, Datenbanksicherheit und Systemarchitektur. Das Buch bietet außerdem einen Überblick auf postrelationale und nicht-relationale Datenbanksysteme.In den ersten fünf Kapiteln analysieren die Autoren detailliert die Verwaltung, Modellierung, Sprachen, Sicherheit und Architektur von relationalen Datenbanken, Graphdatenbanken und Dokumentendatenbanken. Außerdem wird ein Überblick über andere SQL- und NoSQL-basierte Datenbankansätze gegeben. Neben klassischen Konzepten wie dem Entitäts- und Beziehungsmodell und seiner Abbildung in SQL-Datenbankschemata, Abfragesprachen oder dem Transaktionsmanagement werden weitere Aspekte für NoSQL-Datenbanken wie nicht-relationale Datenbankschemas und Abfragesprachen (MQL, Cypher), das Map/Reduce-Verfahren, Verteilungsoptionen (Sharding, Replikation) oder das CAP-Theorem (Consistency, Availability, Partition Tolerance) erläutert.Die 9. Auflage bietet neu eine vertiefte Einführung in Dokumentdatenbanken mit einer Methode zur Modellierung von Dokumentstrukturen, einem Überblick auf dokumentenorientierte Datenbanksprache MongoDB Query Language MQL sowie Sicherheits- und Architekturaspekte. Die neue Auflage berücksichtigt neue Entwicklungen der Sprache Cypher. Das Thema Datenbanksicherheit wird neu als eigenes Kapitel eingeführt und im Detail bezüglich Datenschutz, Integrität und Transaktionen analysiert. Texte zum Datenmanagement, zur Datenbankprogrammierung und zum Data Warehouse wurden aktualisiert. Zudem erklärt die 9. Auflage die Konzepte JSON, JSON-Schema, BSON, indexfreie Nachbarschaft, Cloud-Datenbanken, Suchmaschinen und Zeitreihendatenbanken.Eine Webseite ergänzt den Inhalt des Buches durch Tutorien für Abfrage- und Manipulationssprachen (SQL, Cypher), Übungsumgebungen für Datenbanken (MySQL, Neo4j), zwei Fallstudien mit OpenOffice Base und Neo4j sowie als Unterrichtsmaterial Folienvorlagen mit allen AbbildungenDas Buch richtet sich sowohl an Studierende, die eine Einführung in das Gebiet der SQL- und NoSQL-Datenbanken möchten, als auch auch an Praktiker in Datenwissenschaften und Informatik, denen es hilft, Stärken und Schwächen relationaler und nicht-relationaler Ansätze sowie Entwicklungen für Big-Data-Anwendungen besser einschätzen zu können