Processing Metabolomics and Proteomics Data with Open Software - Info and Reading Options
A Practical Guide
By Robert Winkler
"Processing Metabolomics and Proteomics Data with Open Software" was published by Royal Society of Chemistry, The in 2020 - London, England, the book is classified in Science genre, it has 430 pages and the language of the book is English.
“Processing Metabolomics and Proteomics Data with Open Software” Metadata:
- Title: ➤ Processing Metabolomics and Proteomics Data with Open Software
- Author: Robert Winkler
- Language: English
- Number of Pages: 430
- Is Family Friendly: Yes - No Mature Content
- Publisher: ➤ Royal Society of Chemistry, The
- Publish Date: 2020
- Publish Location: London, England
- Genres: Science
“Processing Metabolomics and Proteomics Data with Open Software” Subjects and Themes:
- Subjects: ➤ Physiology - Chemistry, analytic - Metabolites - Data processing - Proteomics - Molecular spectroscopy - Open source software - Métabolites - Informatique - Protéomique - Spectroscopie moléculaire - Logiciels libres
Edition Identifiers:
- Google Books ID: rC3YDwAAQBAJ
- The Open Library ID: OL28068227M - OL20748896W
- ISBN-13: 9781788019903
- ISBN-10: 1788019903
- All ISBNs: 9781788019903 - 1788019903
AI-generated Review of “Processing Metabolomics and Proteomics Data with Open Software”:
Snippets and Summary:
This book expounds open-source programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data.
"Processing Metabolomics and Proteomics Data with Open Software" Description:
Google Books:
Metabolomics and proteomics allow deep insights into the chemistry and physiology of biological systems. This book expounds open-source programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data. In contrast to commercial software, open-source software is created by the academic community, which facilitates the direct interaction between users and developers and accelerates the implementation of new concepts and ideas. The first section of the book covers the basics of mass spectrometry, experimental strategies, data operations, the open-source philosophy, metabolomics, proteomics and statistics/ data mining. In the second section, active programmers and users describe available software packages. Included tutorials, datasets and code examples can be used for training and for building custom workflows. Finally, every reader is invited to participate in the open science movement.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is available, image copy is available.
- Google Books Link: Google Books
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