Literature DB >> 27153725

NMRPro: an integrated web component for interactive processing and visualization of NMR spectra.

Ahmed Mohamed1, Canh Hao Nguyen1, Hiroshi Mamitsuka1.   

Abstract

UNLABELLED: The popularity of using NMR spectroscopy in metabolomics and natural products has driven the development of an array of NMR spectral analysis tools and databases. Particularly, web applications are well used recently because they are platform-independent and easy to extend through reusable web components. Currently available web applications provide the analysis of NMR spectra. However, they still lack the necessary processing and interactive visualization functionalities. To overcome these limitations, we present NMRPro, a web component that can be easily incorporated into current web applications, enabling easy-to-use online interactive processing and visualization. NMRPro integrates server-side processing with client-side interactive visualization through three parts: a python package to efficiently process large NMR datasets on the server-side, a Django App managing server-client interaction, and SpecdrawJS for client-side interactive visualization.
AVAILABILITY AND IMPLEMENTATION: Demo and installation instructions are available at http://mamitsukalab.org/tools/nmrpro/ CONTACT: mohamed@kuicr.kyoto-u.ac.jp SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2016        PMID: 27153725     DOI: 10.1093/bioinformatics/btw102

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

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Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

Review 2.  Increasing rigor in NMR-based metabolomics through validated and open source tools.

Authors:  Hamid R Eghbalnia; Pedro R Romero; William M Westler; Kumaran Baskaran; Eldon L Ulrich; John L Markley
Journal:  Curr Opin Biotechnol       Date:  2016-09-16       Impact factor: 9.740

3.  PhenoMeNal: processing and analysis of metabolomics data in the cloud.

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Journal:  Gigascience       Date:  2019-02-01       Impact factor: 6.524

4.  ChemSpectra: a web-based spectra editor for analytical data.

Authors:  Yu-Chieh Huang; Pierre Tremouilhac; An Nguyen; Nicole Jung; Stefan Bräse
Journal:  J Cheminform       Date:  2021-02-10       Impact factor: 5.514

  4 in total

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