
Metagenomic Classification using Centrifuge
Author(s) -
Tanaya Jadhav,
Meghagori
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3725.078219
Subject(s) - centrifuge , metagenomics , computer science , sample (material) , quality (philosophy) , biological classification , data mining , artificial intelligence , biochemical engineering , biology , engineering , chromatography , biochemistry , chemistry , physics , philosophy , epistemology , evolutionary biology , gene , nuclear physics
To assess the quality of food is a major challenge the food industry faces today. It is of utmost importance to test it for contaminates and non-edible material that may be present. To overcome these challenges metagenomic classification is majorly useful. Several researches involve various classification techniques and their studies. Difficulties in metagenomic classification include increasing number of genomes thereby requirement of computational methods to have high speed as well as high accuracy so as to compare DNA sequences to genomes. Centrifuge is a classification tool for quantification of species present in a sample so as to monitor the quality of the same. Given a food sample Centrifuge effectively classifies the species present in it enabling a timely and accurate analysis.