The area of metabolomics has broadened over the last decade with growing popularity in numerous applications. Nonetheless, ultimate challenges still persist in both interpreting and gathering metabolomics data. To date, there is no such interface, software or online tool that can accomplish all the analysis for metabolite identification of LC-MS data in a single package. In response to overcome these challenges, I have made an interface that makes use of the available popular online web-based tools in the area of the metabolomics environment. The interface that I made is called the LC-MS/MS Pipeline which is an Excel based Interface for the analysis of LC-MS data. Considering, the study of LC-MS data being a huge approach, the pipeline that I have made comprises of four modules. Although the pipeline that I made utilizes the assistance of the online based tools to generate its results and does not have any database of its own, it can still achieve all the required analysis for the LC-MS data with just a click of a button and, moreover, it is user-friendly.
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The area of metabolomics has broadened over the last decade with growing popularity in numerous applications. Nonetheless, ultimate challenges still persist in both interpreting and gathering metabolomics data. To date, there is no such interface, software or online tool that can accomplish all the analysis for metabolite identification of LC-MS data in a single package. In response to overcome these challenges, I have made an interface that makes use of the available popular online web-based tools in the area of the metabolomics environment. The interface that I made is called the LC-MS/MS Pipeline which is an Excel based Interface for the analysis of LC-MS data. Considering, the study of LC-MS data being a huge approach, the pipeline that I have made comprises of four modules. Although the pipeline that I made utilizes the assistance of the online based tools to generate its results and does not have any database of its own, it can still achieve all the required analysis for the LC-MS data with just a click of a button and, moreover, it is user-friendly.
Vijay Naidu was born in Mumbai (Bombay), India, in 1986. He is currently a doctoral candidate pursuing his Ph.D. degree in Computer and Information Sciences with the Auckland University of Technology, Auckland, New Zealand. His current research interests include Information Security, Bioinformatics, Malware Analysis and Detection, and Data Mining.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The area of metabolomics has broadened over the last decade with growing popularity in numerous applications. Nonetheless, ultimate challenges still persist in both interpreting and gathering metabolomics data. To date, there is no such interface, software or online tool that can accomplish all the analysis for metabolite identification of LC-MS data in a single package. In response to overcome these challenges, I have made an interface that makes use of the available popular online web-based tools in the area of the metabolomics environment. The interface that I made is called the LC-MS/MS Pipeline which is an Excel based Interface for the analysis of LC-MS data. Considering, the study of LC-MS data being a huge approach, the pipeline that I have made comprises of four modules. Although the pipeline that I made utilizes the assistance of the online based tools to generate its results and does not have any database of its own, it can still achieve all the required analysis for the LC-MS data with just a click of a button and, moreover, it is user-friendly. 300 pp. Englisch. Nº de ref. del artículo: 9783330044661
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naidu VijayVijay Naidu was born in Mumbai (Bombay), India, in 1986. He is currently a doctoral candidate pursuing his Ph.D. degree in Computer and Information Sciences with the Auckland University of Technology, Auckland, New Zealand. Nº de ref. del artículo: 158958542
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Taschenbuch. Condición: Neu. LC-MS/MS Pipeline | An Excel Based Interface for the study of LC-MS data from the metabolomics environment | Vijay Naidu (u. a.) | Taschenbuch | 300 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330044661 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 108469951
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The area of metabolomics has broadened over the last decade with growing popularity in numerous applications. Nonetheless, ultimate challenges still persist in both interpreting and gathering metabolomics data. To date, there is no such interface, software or online tool that can accomplish all the analysis for metabolite identification of LC-MS data in a single package. In response to overcome these challenges, I have made an interface that makes use of the available popular online web-based tools in the area of the metabolomics environment. The interface that I made is called the LC-MS/MS Pipeline which is an Excel based Interface for the analysis of LC-MS data. Considering, the study of LC-MS data being a huge approach, the pipeline that I have made comprises of four modules. Although the pipeline that I made utilizes the assistance of the online based tools to generate its results and does not have any database of its own, it can still achieve all the required analysis for the LC-MS data with just a click of a button and, moreover, it is user-friendly.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 300 pp. Englisch. Nº de ref. del artículo: 9783330044661
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The area of metabolomics has broadened over the last decade with growing popularity in numerous applications. Nonetheless, ultimate challenges still persist in both interpreting and gathering metabolomics data. To date, there is no such interface, software or online tool that can accomplish all the analysis for metabolite identification of LC-MS data in a single package. In response to overcome these challenges, I have made an interface that makes use of the available popular online web-based tools in the area of the metabolomics environment. The interface that I made is called the LC-MS/MS Pipeline which is an Excel based Interface for the analysis of LC-MS data. Considering, the study of LC-MS data being a huge approach, the pipeline that I have made comprises of four modules. Although the pipeline that I made utilizes the assistance of the online based tools to generate its results and does not have any database of its own, it can still achieve all the required analysis for the LC-MS data with just a click of a button and, moreover, it is user-friendly. Nº de ref. del artículo: 9783330044661
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