Affiliation:
1. Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India
2. Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore- 756020, Odisha, India
3. Institute for Skeletal Aging &Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea
Abstract
Abstract:
Today, the bioinformatics tool and database development are one of the most significant research areas in computational biology. Computational biologists are developing diverse bioinformatics tools and databases in the various fields of biological science. Nowadays, several non-coding RNAs (ncRNA) have been studied extensively, which act as a mediator of the regulation of gene expression. ncRNA is a functional RNA molecule that is transcribed from the mammalian genome. It also controls the disease regulation pathway. Based on the size, ncRNA can be classified into three categories such as small ncRNA (~18–30 nt), medium ncRNA (~30–200 nt), and long ncRNA (from 200 nt to several hundred kb). The miRNA and siRNAs are two types of ncRNA. Various bioinformatics tools and databases have recently been developed to understand the different ncRNAs (miRNA, siRNA, and lncRNAs) disease association. We have illustrated different bioinformatics resources, such as in silico tools and databases, currently available for researching miRNAs, siRNAs, and lncRNAs. Some bioinformatics-based miRNA tools are miRbase, miRecords, miRCancer, miRSystem, miRGator, miRNEST, mirtronPred and miRIAD, etc. Bioinformatics-based siRNA tools are siPRED, siDRM, sIR, siDirect 2.0. Bioinformatics-based lncRNAs tools are lncRNAdb v2,lncRNAtor, LncDisease, iLoc-lncRNA, etc. These tools and databases benefit molecular biologists, biomedical researchers, and computational biologists.
Publisher
Bentham Science Publishers Ltd.
Subject
Computational Mathematics,Genetics,Molecular Biology,Biochemistry
Cited by
1 articles.
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