Data Mining and Bioinformatics Approaches to Elucidate Bacterial Communities in the Extreme Environment-Reference-Cited by-同舟云学术

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Data Mining and Bioinformatics Approaches to Elucidate Bacterial Communities in the Extreme Environment

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS)
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Author:

Trinugroho Joko Pebrianto¹,Hidayat Alam Ahmad²,Nirwantono Rudi³,Asadi Faisal⁴,Pardamean Bens⁵

Affiliation:

1. Bina Nusantara University,Bioinformatics and Data Science Research Center,Jakarta,Indonesia,11480

2. Bina Nusantara University,School of Computer Science Bioinformatics and Data Science Research Center,Mathematics Department,Jakarta,Indonesia,11480

3. Bina Nusantara University,Faculty of Engineering Bioinformatics and Data Science Research Center,Biotechnology Department,Jakarta,Indonesia,11480

4. Bina Nusantara University,School of Computer Science Bioinformatics and Data Science Research Center,Computer Science Department,Jakarta,Indonesia,11480

5. Bina Nusantara University,BINUS Graduate Program Master of Computer Science,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10348961/10348616/10348976.pdf?arnumber=10348976

Reference30 articles.

1. Combining 16S rRNA gene variable regions enables high-resolution microbial community profiling

2. Comparison of Methods for Picking the Operational Taxonomic Units From Amplicon Sequences

3. Genome Data Mining Approach to Identify Potential Protein in Crop Plants;Trinugroho

4. Microbial diversity in extreme environments

5. Microbial biogeography of 925 geothermal springs in New Zealand

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