RemeDB: Tool for Rapid Prediction of Enzymes Involved in Bioremediation from High-Throughput Metagenome Data Sets-Reference-Cited by-同舟云学术

RemeDB: Tool for Rapid Prediction of Enzymes Involved in Bioremediation from High-Throughput Metagenome Data Sets

Published:2020-07-01 Issue:7 Volume:27 Page:1020-1029
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Sankara Subramanian Sai H.¹,Balachandran Karpaga Raja Sundari¹,Rangamaran Vijaya Raghavan¹,Gopal Dharani¹

Affiliation:

1. Marine Biotechnology Division, Ocean Science and Technology for Islands Group, National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences (MoES), Government of India, Chennai, India.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0345

Reference33 articles.

1. Modelling PAHs adsorption and sequestration in freshwater and marine sediments

2. New tools for discovering and characterizing microbial diversity

3. BioFuelDB: a database and prediction server of enzymes involved in biofuels production

4. Bacterial tyrosinases

5. New Insights into the Function and Global Distribution of Polyethylene Terephthalate (PET)-Degrading Bacteria and Enzymes in Marine and Terrestrial Metagenomes

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