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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 4, APRIL 2017

Literature Survey on Framework for Generating MS-MS Spectra for MS Spectrometry Data

Xylia Lamisa Nazareth, Shetty Mamatha Gopal

DOI: 10.17148/IJARCCE.2017.6437

Abstract: It is no understatement that mass spectrometry is revolutionizing biological studies. Current mass spectrometers are capable of a tremendous throughput, and can survey thousands of proteins from complex sample mixtures. The most commonly applied mass spectrometry techniques is Tandem-MS. This high-throughput technology generates huge amounts of data. Databases are critical for recording and carefully storing this data. This project considers data acquisition performed by a vendor specific software that generates a file annotating the mass spectra and look up file. The mass spectra data file is given as an input to Hadoop. Here the file is divided into smaller chunks of large file based on the requirements. These smaller chunks are then compared with look up file and required analytics is performed. And the output is given in an interactive visualization environment.



Keywords: Mass Spectrometry, Hadoop, Database, Tandem-MS, Data Acquisition.

How to Cite:

[1] Xylia Lamisa Nazareth, Shetty Mamatha Gopal, “Literature Survey on Framework for Generating MS-MS Spectra for MS Spectrometry Data,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6437