Mass Spectrometry Data Analysis in Proteomics

Mass Spectrometry Data Analysis in Proteomics
Author: Rune Matthiesen
Publisher: Springer Science & Business Media
Total Pages: 322
Release: 2008-02-02
Genre: Science
ISBN: 1597452750

This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters.

Mass Spectrometry Data Analysis in Proteomics

Mass Spectrometry Data Analysis in Proteomics
Author: Rune Matthiesen
Publisher:
Total Pages: 405
Release: 2013
Genre: Mass spectrometry
ISBN: 9781627033923

Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably. Fully revised and expanded, Mass Spectrometry Data Analysis in Proteomics, Second Edition presents expert chapters on specific MS-based methods or data analysis strategies in proteomics. The volume covers data analysis topics relevant for quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards, among other topics. Written in the highly successful Methods in Molecular Biology series format, chapters include brief introductions to their respective subjects, 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, Mass Spectrometry Data Analysis in Proteomics, Second Edition serves as a detailed guide for all researchers seeking to further our knowledge in the field of proteomics.

Proteome Informatics

Proteome Informatics
Author: Conrad Bessant
Publisher: Royal Society of Chemistry
Total Pages: 429
Release: 2016-11-15
Genre: Science
ISBN: 1782626735

The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for protein identification and quantitation. Proteins are a key component of any biological system, and monitoring proteins using LC-MS/MS proteomics is becoming commonplace in a wide range of biological research areas. However, many researchers treat proteomics software tools as a black box, drawing conclusions from the output of such tools without considering the nuances and limitations of the algorithms on which such software is based. This book seeks to address this situation by bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, so that users of proteomics data can be confident that they are using appropriate tools in suitable ways.

High-Performance Algorithms for Mass Spectrometry-Based Omics

High-Performance Algorithms for Mass Spectrometry-Based Omics
Author: Fahad Saeed
Publisher: Springer Nature
Total Pages: 146
Release: 2022-09-02
Genre: Science
ISBN: 3031019601

To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes per experiment) and complex (multiple species/microbiome/high-dimensional) data sets. This rapid advance in MS instrumentation must be matched by equally fast and rapid evolution of scalable methods developed for analysis of these complex data sets. Ideally, the new methods should leverage the rich heterogeneous computational resources available in a ubiquitous fashion in the form of multicore, manycore, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders scientific advancements for mass spectrometry research. In this book we illustrate the need for high-performance computing algorithms for MS based proteomics, and proteogenomics and showcase our progress in developing these high-performance algorithms.

Practical Bioinformatics

Practical Bioinformatics
Author: Janusz M. Bujnicki
Publisher: Springer
Total Pages: 275
Release: 2007-09-12
Genre: Science
ISBN: 3540742689

This book presents applications of bioinformatics tools that experimental research scientists use in "daily practice." Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions.

Proteomics Data Analysis

Proteomics Data Analysis
Author: Daniela Cecconi
Publisher:
Total Pages: 326
Release: 2021
Genre: Proteomics
ISBN: 9781071616413

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.

High Resolution Mass Spectrometry Based Analysis of Biological Samples

High Resolution Mass Spectrometry Based Analysis of Biological Samples
Author:
Publisher:
Total Pages: 632
Release: 2008
Genre: Erythrocytes
ISBN:

The findings highlighted the benefits of applying multiple separation strategies for proteomic samples. In a targeted approach, absolute quantification of human Hb [alpha] and [beta] chains at the peptide level were performed utilizing appropriate multiple stable isotope-labelled peptides for each protein and applying multiple reaction monitoring mass spectrometry based techniques with evidence of usefulness of these measurements for the diagnosis, prognosis and assessment of disease states. An evaluation was performed to compare four MS/MS data search algorithms using complex mixtures of tryptic and non trypic peptides obtained from biological samples by performing proteolysis with multiple enzymes and with the novel combined chemical and enzymatic digestion methods described in this thesis. The results of this evaluation illustrated that despite the continuous upgrade of the MS/MS search algorithms offered by the providers, their performance varied significantly. The most challenging task in current proteomic literature is comparing the findings obtained by different laboratories, as there is a lack of standardized data identification and interpretation tools that allow the exchange or sharing of data across various proteomic platforms which use different instrumentation. The potential of new software platforms that integrate multiple algorithms or allow the incorporation of results obtained by different algorithms with subsequent automated statistical validation of identified peptides and proteins was demonstrated.

Quantitative Methods in Proteomics

Quantitative Methods in Proteomics
Author: Katrin Marcus
Publisher: Humana Press
Total Pages: 539
Release: 2012-06-08
Genre: Science
ISBN: 9781617798849

Protein modifications and changes made to them, as well as the quantities of expressed proteins, can define the various functional stages of the cell. Accordingly, perturbations can lead to various diseases and disorders. As a result, it has become paramount to be able to detect and monitor post-translational modifications and to measure the abundance of proteins within the cell with extreme sensitivity. While protein identification is an almost routine requirement nowadays, reliable techniques for quantifying unmodified proteins (including those that escape detection under standard conditions, such as protein isoforms and membrane proteins) is not routine. Quantitative Methods in Proteomics gives a detailed survey of topics and methods on the principles underlying modern protein analysis, from statistical issues when planning proteomics experiments, to gel-based and mass spectrometry-based applications. The quantification of post-translational modifications is also addressed, followed by the “hot” topics of software and data analysis, as well as various overview chapters which provide a comprehensive overview of existing methods in quantitative proteomics. Written in the successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Quantitative Methods in Proteomics serves as a comprehensive and competent overview of the important and still growing field of quantitative proteomics.