About this Journal
Advances in Bioinformatics is a peer-reviewed, Open Access journal that publishes original research articles and review articles focusing on computational and statistical methods to address biological problems. The scope of the journal includes, but is not limited to, descriptions of new algorithms and databases, insights using bioinformatic tools, and novel applications.
Advances in Bioinformatics is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges in general, click here.
Advances in Bioinformatics is included in many leading abstracting and indexing databases. For a complete list, click here.
Featured Articles
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Prediction and In Silico Identification of Novel B-Cells and T-Cells Epitopes in the S1-Spike Glycoprotein of M41 and CR88 (793/B) Infectious Bronchitis Virus Serotypes for Application in Peptide Vaccines
Faruku Bande, Siti Suri Arshad, Mohd Hair Bejo, Saeid Kadkhodaei, Abdul Rahman Omar -
In Silico Analysis of Gene Expression Network Components Underlying Pigmentation Phenotypes in the Python Identified Evolutionarily Conserved Clusters of Transcription Factor Binding Sites
Kristopher J. L. Irizarry, Randall L. Bryden -
Systematic Bioinformatic Approach for Prediction of Linear B-Cell Epitopes on Dengue E and prM Protein
Mahesha N. Nadugala, Prasad H. Premaratne, Charitha L. Goonasekara -
An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model
Safa A. Hameed, Raed I. Hamed -
In Silico Analysis of SNPs in PARK2 and PINK1 Genes That Potentially Cause Autosomal Recessive Parkinson Disease
Yousuf Hasan Yousuf Bakhit, Mohamed Osama Mirghani Ibrahim, Mutaz Amin, Yousra Abdelazim Mirghani, Mohamed Ahmed Salih Hassan -
Combined Docking with Classical Force Field and Quantum Chemical Semiempirical Method PM7
A. V. Sulimov, D. C. Kutov, E. V. Katkova, V. B. Sulimov