Proteome Informatics

Proteome Informatics
Author: Conrad Bessant
Publisher: Royal Society of Chemistry
Total Pages: 428
Release: 2016-11-23
Genre: Science
ISBN: 1782624287

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Bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, Proteome Informatics will provide a detailed introduction to the main informatics topics that underpin the various LC-MS/MS protocols used for protein identification and quantitation.


Proteome Informatics
Language: en
Pages: 428
Authors: Conrad Bessant
Categories: Science
Type: BOOK - Published: 2016-11-23 - Publisher: Royal Society of Chemistry

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Bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, Proteome Informatics will provide a deta
An Introduction to Protein Informatics
Language: en
Pages: 298
Authors: Karl-Heinz Zimmermann
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are rel
Proteome Research
Language: en
Pages: 268
Authors: M.R. Wilkins
Categories: Science
Type: BOOK - Published: 2008-02-05 - Publisher: Springer Science & Business Media

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Proteomics is a multifaceted, interdisciplinary field which studies the complexity and dynamics of proteins in biological systems. It combines powerful separati
Informatics In Proteomics
Language: en
Pages: 474
Authors: Sudhir Srivastava
Categories: Medical
Type: BOOK - Published: 2005-06-24 - Publisher: CRC Press

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The handling and analysis of data generated by proteomics investigations represent a challenge for computer scientists, biostatisticians, and biologists to deve
Artificial Intelligence in Bioinformatics and Chemoinformatics
Language: en
Pages: 275
Authors: Yashwant Pathak
Categories: Science
Type: BOOK - Published: 2023-10-11 - Publisher: CRC Press

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The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as ident