International Journal of Bio-Science and Bio-Technology (IJBSBT) 

International Journal of Bio-Science and Bio-Technology (IJBSBT)  aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of computational biology and bioinformatics. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology.

International Journal of Bio-Science and Bio-Technology (IJBSBT) is a peer-reviewed international journal that provides a chance for academic and industry professionals to discuss recent progress in the area of medical, medicine, bio-science and Bi-technology. It aims to be a forum that facilitates and support research relevant to medical, medicine, bio-science and Bi-technology.

International Journal of Bio-Science and Bio-Technology (IJBSBT) is indexed in SCOPUS at https://www.scopus.com/sourceid/19900192586

IJBSBT Journal site is https://www.ijbsbt.com/

Send papers for publication in International Journal of Bio-Science and Bio-Technology (IJBSBT)

to editor@ijbsbt.com

The topics related to International Journal of Bio-Science and Bio-Technology (IJBSBT)  include but are not limited to:
  • Analysis of amino acid
  • Nucleotide sequences & structures

Biological software design

Molecular modeling

Phylogenetic approaches
Evolution computational analysis
Synthetic biology
Biochemical engineering
Parallel computation
Linking disparate databases
Data mining
Algorithms implementation
Biological databases development
Genetics statistical application
Genome-scale & system-wide approaches
Biological images analysis
Biological databases optimization
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