Computational And Statistical Methods For Protein Quantification By Mass Spectrometry

Author: Ingvar Eidhammer
Editor: John Wiley & Sons
ISBN: 111849377X
Size: 18,12 MB
Format: PDF, ePub, Docs
Read: 160

The definitive introduction to data analysis in quantitativeproteomics This book provides all the necessary knowledge about massspectrometry based proteomics methods and computational andstatistical approaches to pursue the planning, design and analysisof quantitative proteomics experiments. The author’scarefully constructed approach allows readers to easily make thetransition into the field of quantitative proteomics. Throughdetailed descriptions of wet-lab methods, computational approachesand statistical tools, this book covers the full scope of aquantitative experiment, allowing readers to acquire new knowledgeas well as acting as a useful reference work for more advancedreaders. Computational and Statistical Methods for ProteinQuantification by Mass Spectrometry: Introduces the use of mass spectrometry in proteinquantification and how the bioinformatics challenges in this fieldcan be solved using statistical methods and various softwareprograms. Is illustrated by a large number of figures and examples aswell as numerous exercises. Provides both clear and rigorous descriptions of methods andapproaches. Is thoroughly indexed and cross-referenced, combining thestrengths of a text book with the utility of a reference work. Features detailed discussions of both wet-lab approaches andstatistical and computational methods. With clear and thorough descriptions of the various methods andapproaches, this book is accessible to biologists, informaticians,and statisticians alike and is aimed at readers across the academicspectrum, from advanced undergraduate students to post doctoratesentering the field.

Statistical Analysis Of Proteomics Metabolomics And Lipidomics Data Using Mass Spectrometry

Author: Susmita Datta
Editor: Springer
ISBN: 3319458094
Size: 11,89 MB
Format: PDF, Mobi
Read: 208

This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies. Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.

Systems Biology In Toxicology And Environmental Health

Author: Rebecca Fry
Editor: Academic Press
ISBN: 0128015683
Size: 20,90 MB
Format: PDF
Read: 666

Systems Biology in Toxicology and Environmental Health uses a systems biological perspective to detail the most recent findings that link environmental exposures to human disease, providing an overview of molecular pathways that are essential for cellular survival after exposure to environmental toxicants, recent findings on gene-environment interactions influencing environmental agent-induced diseases, and the development of computational methods to predict susceptibility to environmental agents. Introductory chapters on molecular and cellular biology, toxicology and computational biology are included as well as an assessment of systems-based tools used to evaluate environmental health risks. Further topics include research on environmental toxicants relevant to human health and disease, various high-throughput technologies and computational methods, along with descriptions of the biological pathways associated with disease and the developmental origins of disease as they relate to environmental contaminants. Systems Biology in Toxicology and Environmental Health is an essential reference for undergraduate students, graduate students, and researchers looking for an introduction in the use of systems biology approaches to assess environmental exposures and their impacts on human health. Provides the first reference of its kind, demonstrating the application of systems biology in environmental health and toxicology Includes introductions to the diverse fields of molecular and cellular biology, toxicology, and computational biology Presents a foundation that helps users understand the connections between the environment and health effects, and the biological mechanisms that link them

Biological Knowledge Discovery Handbook

Author: Mourad Elloumi
Editor: John Wiley & Sons
ISBN: 1118617118
Size: 20,90 MB
Format: PDF, Docs
Read: 300

The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.

Evolutionary Computation Machine Learning And Data Mining In Bioinformatics

Author: Elena Marchiori
Editor: Springer Science & Business Media
ISBN: 354071782X
Size: 14,44 MB
Format: PDF, ePub, Docs
Read: 505

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci'c patterns present in a given dataset and then to interpret those patterns. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o'er the ?eld of bioinformatics. The goal of the Fifth European Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2007) was to bring experts in computer science - gether with experts in bioinformatics and the biological sciences to explore new and novel methods for solving complex biological problems. The ?fth EvoBIO conference was held in Valencia, Spain during April 11-13, 2007 at the Universidad Politecnica de Valencia. EvioBIO 2007 was held jointly with the Tenth European Conference on Genetic Programming (EuroGP 2007), the Seventh European Conference on Evolutionary Computation in Combina- rial Optimisation (EvoCOP 2007), and the Evo Workshops. Collectively, the c- ferences and workshops are organized under the name Evo* (www. evostar. org).

Bioinformatics In Mass Spectrometry

Author: Volker Egelhofer
Editor: BoD – Books on Demand
ISBN: 3735794092
Size: 14,64 MB
Format: PDF, Kindle
Read: 505

The aim of the book is to give the reader a basic insight of Mass spectrometry-based bioinformatics. In the past, Bioinformatics has been mostly classified as a bridge discipline between Informatics and Biology rather than an independent scientific discipline. But with the comprehensive accumulation of biological data and the resulting challenges Bioinformaticians concentrate more on their own research rather than simply serving as technologists for others. Nowadays, the focus in Bioinformatics is mainly on the development of sophisticated algorithms capable of extracting useful knowledge from large data sets by combining methods from statistics and artificial intelligence. This beginners guide will help to illustrate some of the common algorithmic problems occurring in typical high throughput mass spectrometry protein identification experiments. A general introduction to Python programming language including standard programming techniques and their role in problem solving will be provided.


Author: Jürgen H Gross
Editor: Springer-Verlag
ISBN: 3827429811
Size: 16,98 MB
Format: PDF, ePub, Docs
Read: 700

Mit Massenspektrometrie – ein Lehrbuch liegt ein Werk vor, das mit seiner umfassenden, präzisen Darstellung sowie seinen vielen gelungenen Illustrationen und Fotos eine Lücke auf dem deutschsprachigen Markt schließt. Dieses im englischsprachigen Raum bereits gut etablierte Buch führt auf grundlegende Weise an die Massenspektrometrie heran, indem es die Prinzipien, Methoden und Anwendungen logisch aufeinander aufbauend erklärt. Schritt für Schritt lernt der Leser, was diese analytische Methode leisten kann, auf welch vielfältige Art Massenspektrometer isolierte Ionen in der Gasphase erzeugen, selektieren und manipulieren können und wie man aus den resultierenden Massenspektren analytische Information gewinnt. Moderne sanfte Ionisationsmethoden wie ESI, APCI oder MALDI, klassische Verfahren wie EI, CI, FAB oder FD, Oberflächentechniken wie DESI oder DART und elementmassenspektrometrische Verfahren werden didaktisch durchdacht behandelt. Studienanfänger werden von dem Werk ebenso profitieren wie Fortgeschrittene und Praktiker. Ergänzend zum Buch betreibt der Autor eine frei zugängliche (englischsprachige) Internetseite mit zahlreichen Übungsaufgaben, Lösungen und Bonus-Material unter

Mass Spectrometry For Microbial Proteomics

Author: Haroun N. Shah
Editor: John Wiley & Sons
ISBN: 9781119991922
Size: 15,20 MB
Format: PDF, ePub, Mobi
Read: 187

New advances in proteomics, driven largely by developments in mass spectrometry, continue to reveal the complexity and diversity of pathogenic mechanisms among microbes that underpin infectious diseases. Therefore a new era in medical microbiology is demanding a rapid transition from current procedures to high throughput analytical systems for the diagnosis of microbial pathogens. This book covers the broad microbiological applications of proteomics and mass spectrometry. It is divided into six sections that follow the general progression in which most microbiology laboratories are approaching the subject –Transition, Tools, Preparation, Profiling by Patterns, Target Proteins, and Data Analysis.

Molecular And Quantitative Animal Genetics

Author: Hasan Khatib
Editor: John Wiley & Sons
ISBN: 1118677374
Size: 11,51 MB
Format: PDF, ePub
Read: 653

Animal genetics is a foundational discipline in the fields of animal science, animal breeding, and veterinary sciences. While genetics underpins the healthy development and breeding of all living organisms, this is especially true in domestic animals, specifically with respect to breeding for key traits. Molecular and Quantitative Animal Genetics is a new textbook that takes an innovative approach, looking at both quantitative and molecular breeding approaches. The bookprovides a comprehensive introduction to genetic principles and their applications in animal breeding. This text provides a useful overview for those new to the field of animal genetics and breeding, covering a diverse array of topics ranging from population and quantitative genetics to epigenetics and biotechnology. Molecular and Quantitative Animal Genetics will be an important and invaluable educational resource for undergraduate and graduate students and animal agriculture professionals. Divided into six sections pairing fundamental principles with useful applications, the book's comprehensive coverage will make it an ideal fit for students studying animal breeding and genetics at any level.