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Computational Proteomics 2008
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Download or read book Computational Proteomics 2008 written by and published by . This book was released on 2008 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Proteomics written by and published by . This book was released on 2002 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Methods for Mass Spectrometry Proteomics by : Ingvar Eidhammer
Download or read book Computational Methods for Mass Spectrometry Proteomics written by Ingvar Eidhammer and published by John Wiley & Sons. This book was released on 2008-02-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proteomics is the study of the subsets of proteins present in different parts of an organism and how they change with time and varying conditions. Mass spectrometry is the leading technology used in proteomics, and the field relies heavily on bioinformatics to process and analyze the acquired data. Since recent years have seen tremendous developments in instrumentation and proteomics-related bioinformatics, there is clearly a need for a solid introduction to the crossroads where proteomics and bioinformatics meet. Computational Methods for Mass Spectrometry Proteomics describes the different instruments and methodologies used in proteomics in a unified manner. The authors put an emphasis on the computational methods for the different phases of a proteomics analysis, but the underlying principles in protein chemistry and instrument technology are also described. The book is illustrated by a number of figures and examples, and contains exercises for the reader. Written in an accessible yet rigorous style, it is a valuable reference for both informaticians and biologists. Computational Methods for Mass Spectrometry Proteomics is suited for advanced undergraduate and graduate students of bioinformatics and molecular biology with an interest in proteomics. It also provides a good introduction and reference source for researchers new to proteomics, and for people who come into more peripheral contact with the field.
Book Synopsis Introduction to Computational Proteomics by : Golan Yona
Download or read book Introduction to Computational Proteomics written by Golan Yona and published by CRC Press. This book was released on 2010-12-09 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems involved with protein analysis, classification, and meta-organization. The book starts with the analysis of individual entities and works its way through the analysis of more complex entitie
Book Synopsis Computational Structural Biology by : Torsten Schwede
Download or read book Computational Structural Biology written by Torsten Schwede and published by World Scientific. This book was released on 2008 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive introduction to Landau-Lifshitz equations and Landau-Lifshitz-Maxwell equations, beginning with the work by Yulin Zhou and Boling Guo in the early 1980s and including most of the work done by this Chinese group led by Zhou and Guo since. The book focuses on aspects such as the existence of weak solutions in multi dimensions, existence and uniqueness of smooth solutions in one dimension, relations with harmonic map heat flows, partial regularity and long time behaviors. The book is a valuable reference book for those who are interested in partial differential equations, geometric analysis and mathematical physics. It may also be used as an advanced textbook by graduate students in these fields.
Book Synopsis Regulatory Genomics by : Hon Wai Leong
Download or read book Regulatory Genomics written by Hon Wai Leong and published by Imperial College Press. This book was released on 2008 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in the field of gene regulation is evolving rapidly in the ever-changing scientific environment. Advances in microarray techniques and comparative genomics have enabled more comprehensive studies of regulatory genomics. The study of genomic binding locations of transcription factors has enabled a more comprehensive modeling of regulatory networks. In addition, complete genomic sequences and comparison of numerous related species have demonstrated the conservation of non-coding DNA sequences, which often provide evidence for cis-regulatory binding sites. Systematic methods to decipher the regulatory mechanism are also crucial for corroborating these regulatory networks; key to these methods are motif discovery algorithms that can help predict cis-regulatory elements. These DNA-motif discovery programs are becoming more sophisticated and are beginning to leverage evidence from comparative genomics. These topics and more were discussed at the 3rd Annual RECOMB Workshop on Regulatory Genomics, which brought together more than 90 attendees and included about 22 excellent talks from leading researchers in the field. This proceedings volume contains ten selected, original manuscripts that were presented during the workshop.
Book Synopsis Proteome Informatics by : Conrad Bessant
Download or read book Proteome Informatics written by Conrad Bessant and published by Royal Society of Chemistry. This book was released on 2016-11-15 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Proteomics by : Harald Marx
Download or read book Computational Proteomics written by Harald Marx and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Novel Computational Techniques in Mass Spectrometry Based Proteomics by : Lukas Mueller
Download or read book Novel Computational Techniques in Mass Spectrometry Based Proteomics written by Lukas Mueller and published by . This book was released on 2011-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare by : Cannataro, Mario
Download or read book Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare written by Cannataro, Mario and published by IGI Global. This book was released on 2009-05-31 with total page 960 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.
Book Synopsis Knowledge Discovery in Proteomics by : Igor Jurisica
Download or read book Knowledge Discovery in Proteomics written by Igor Jurisica and published by CRC Press. This book was released on 2005-09-02 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where
Book Synopsis Computational Systems Bioinformatics by : Peter Markstein
Download or read book Computational Systems Bioinformatics written by Peter Markstein and published by World Scientific. This book was released on 2008 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume contains 29 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field.
Book Synopsis Statistical and Computational Proteomics by : Martin McIntosh
Download or read book Statistical and Computational Proteomics written by Martin McIntosh and published by . This book was released on 2008 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Proteomics (Royal Size) by : S. Srivastava
Download or read book Computational Proteomics (Royal Size) written by S. Srivastava and published by Discovery Publishing House. This book was released on 2009-01-01 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Functional Proteomics by : Julie D. Thompson
Download or read book Functional Proteomics written by Julie D. Thompson and published by Humana Press. This book was released on 2008-08-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the emerging field of proteomics continues to expand at an extremely rapid rate, the relative quantification of proteins, targeted by their function, becomes its greatest challenge. Complex analytical strategies have been designed that allow comparative analysis of large proteomes, as well as in depth detection of the core proteome or the interaction network of a given protein of interest. In Functional Proteomics: Methods and Protocols, expert researchers describe the latest protocols being developed to address the problems encountered in high-throughput proteomics projects, with emphasis on the factors governing the technical choices for given applications. The case studies within the volume focus on the following three crucial aspects of the experimental design: 1) the strategy used for the selection, purification and preparation of the sample to be analyzed by mass spectrometry, 2) the type of mass spectrometer used and the type of data to be obtained from it, and 3) the method used for the interpretation of the mass spectrometry data and the search engine used for the identification of the proteins in the different types of sequence data banks available. As a part of the highly successful Methods in Molecular BiologyTM series, the chapters compile step-by-step, readily reproducible laboratory protocols, lists of the necessary materials and reagents, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Functional Proteomics: Methods and Protocols is an ideal resource for all scientists pursuing this developing field and its multitudinous data.
Book Synopsis Proteomics Data Analysis by : Daniela Cecconi
Download or read book Proteomics Data Analysis written by Daniela Cecconi and published by . This book was released on 2021 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Prediction of Protein Complexes from Protein Interaction Networks by : Sriganesh Srihari
Download or read book Computational Prediction of Protein Complexes from Protein Interaction Networks written by Sriganesh Srihari and published by Morgan & Claypool. This book was released on 2017-05-30 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.