alexa Bioinformatics Tools Toward GC-MS And LC-MS Data Analysis, Management And Visualization
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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5th International Conference on Proteomics & Bioinformatics
September 01-03, 2015 Valencia, Spain

Zeeshan Ahmed
University of Massachusetts Medical School, USA
Posters-Accepted Abstracts: J Proteomics Bioinform
DOI: 10.4172/0974-276X.S1.077
Abstract
In metabolomics studies, analyzing mass spectrometric data is one of the complex tasks as it requires massive data handling and implementation of biostatistics. Nowadays, based on the concepts of computations biology several bioinformatics tools have been developed towards the fields of biochemistry and pharmaceutical biology which are heavily contributing in spectral data analysis. Based on the some of the previously reported achievements and our own newly proposed developmental approach i.e., Butterfly, we have produced three different Bioinformatics tools: LS-MIDA, Isotopo and Lipid-Pro. These solutions have been developed to analyze the Gas chromatography-Mass spectrometry (GC-MS) and Liquid chromatography–Mass spectrometry (LC-MS or alternatively HPLC-MS) data. LS-MIDA and Isotopo are two new scientific applications, implement (fully & partially) Brauman’s least squares approach to analyze the isotopic data and estimate the abundance and absolute enrichment values. However, Lipid-Pro is a new solution towards lipdomics data interpretation. These all three tools efficiently help in complex spectral data analysis, management and visualization.
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