Article (Scientific journals)
Intelligent mining of large-scale bio-data: Bioinformatics applications
Golestan Hashemi, Farahnaz Sadat; Ismail, Mohd Razi; Yusop, Mohd Rafii et al.
2018In Biotechnology and Biotechnological Equipment, 32 (1), p. 10-29
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Keywords :
Bioinformatics; data mining; artificial intelligence; intelligent knowledge; discovery; bio-data analysis; heuristic algorithms
Abstract :
[en] Today, there is a collection of a tremendous amount of bio-data because of the computerized applications worldwide. Therefore, scholars have been encouraged to develop effective methods to extract the hidden knowledge in these data. Consequently, a challenging and valuable area for research in artificial intelligence has been created. Bioinformatics creates heuristic approaches and complex algorithms using artificial intelligence and information technology in order to solve biological problems. Intelligent implication of the data can accelerate biological knowledge discovery. Data mining, as biology intelligence, attempts to find reliable, new, useful and meaningful patterns in huge amounts of data. Hence, there is a high potential to raise the interaction between artificial intelligence and bio-data mining. The present paper argues how artificial intelligence can assist bio-data analysis and gives an up-to-date review of different applications of bio-data mining. It also highlights some future perspectives of data mining in bioinformatics that can inspire further developments of data mining instruments. Important and new techniques are critically discussed for intelligent knowledge discovery of different types of row datasets with applicable examples in human, plant and animal sciences. Finally, a broad perception of this hot topic in data science is given.
Research center :
Marie-Curie
Disciplines :
Biotechnology
Author, co-author :
Golestan Hashemi, Farahnaz Sadat ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions végétales et valorisation
Ismail, Mohd Razi;  b Laboratory of Food Crops, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia
Yusop, Mohd Rafii;  c Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia
Golestan Hashemi, Mahboobe Sadat;  Department of Software Engineering, Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University
Nadimi Shahrak, Mohammad Hossein;  Department of Software Engineering, Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University
Rastegar, Hamid;  d Department of Software Engineering, Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University
Miah, Gous;  b Laboratory of Food Crops, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia,
Aslani, Farzad;  c Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia
Language :
English
Title :
Intelligent mining of large-scale bio-data: Bioinformatics applications
Publication date :
2018
Journal title :
Biotechnology and Biotechnological Equipment
ISSN :
1310-2818
eISSN :
1314-3530
Publisher :
Taylor & Francis Group
Volume :
32
Issue :
1
Pages :
10-29
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 30 November 2017

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