International Journal of Bioinformatics Research and Applications
- Editor in Chief
- Prof. Yi Pan
- ISSN online
- ISSN print
- 4 issues per year
- CiteScore 0.8 (2019)
Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications.
Topics covered include
- Databases, bio-grid, system biology
- Biomedical image processing, modelling and simulation
- Bio-ontology and data mining, DNA assembly, clustering, mapping
- Computational genomics/proteomics
- Silico technology: computational intelligence, high performance computing
- E-health, telemedicine
- Gene expression, microarrays, identification, annotation
- Genetic algorithms, fuzzy logic, neural networks, data visualisation
- Hidden Markov models, machine learning, support vector machines
- Molecular evolution, phylogeny, modelling, simulation, sequence analysis
- Parallel algorithms/architectures, computational structural biology
- Phylogeny reconstruction algorithms, physiome, protein structure prediction
- Sequence assembly, search, alignment
- Signalling/computational biomedical data engineering
- Simulated annealing, statistical analysis, stochastic grammars
The objectives of IJBRA are to develop, promote and coordinate the development and practice of bioinformatics and computational biology. IJBRA aims to help professionals working in the field, academic educators and policy-makers to contribute, to disseminate knowledge, and to learn from each other's work. The international dimension is emphasised in order to overcome cultural and national barriers and to meet the needs of accelerating technological change and changes in the global economy. IJBRA is an outstanding outlet that can shape a significant body of research in the field of bioinformatics and computational biology and in which results can be shared across institutions, governments, researchers and students, and also industry.
IJBRA provides a vehicle to help professionals, academics, researchers, graduate students, and managers, working in the field of bioinformatics and computational biology, to disseminate information and to learn from each other's work.
IJBRA publishes original and review papers, technical reports, case studies, conference reports, management reports, book reviews, and notes, commentaries, and news. Contribution may be by submission or invitation, and suggestions for special issues and publications are welcome.
Editor in Chief
- Pan, Yi, Georgia State University, USA
- Wang, Jianxin, Central South University, China
Editorial Board Members
- Baldi, Pierre, University of California, Irvine, USA
- Basu, Mitra, United States Naval Academy, USA
- Borodovsky, Mark, Georgia Institute of Technology, USA
- Bystroff, Chris, Rensselaer Polytechnic Institute, USA
- Chan, Keith C.C., The Hong Kong Polytechnic University, Hong Kong SAR, China
- Chen, Jake Y., University of Alabama at Birmingham (UAB), USA
- Chen, Luonan, Shanghai Institutes for Biological Sciences, China
- Claridge, Ela, University of Birmingham, UK
- Corne, David, Heriot-Watt University, UK
- Dehne, Frank, Carleton University, Canada
- Guerra, Concettina, University of Padova, Italy
- Guo, Xuan, University of North Texas, USA
- Harrison, Robert, Georgia State University, USA
- He, Jieyue, Southeast University, China
- He, Matthew, Nova Southeastern University, USA
- Hsu, Wen-Lian, Academia Sinica, Taiwan
- Li, Min, Central South University, China
- Liang, Jie, Univeristy of Illinois at Chicago, USA
- Liu, Jun S., Harvard University, USA
- Luo, Jingchu, Peking University, China
- Mandoiu, Ion, University of Connecticut, USA
- Miyano, Satoru, The University of Tokyo, Japan
- Narasimhan, Giri, Florida International University, USA
- Nikravesh, Masoud, University of California, USA
- Niu, Tianhua, Harvard Medical School, USA
- Nussinov, Ruth, Tel Aviv University, USA
- Park, Haesun, National Science Foundation, USA
- Priami, Corrado, Università di Trento, Italy
- Rigoutsos, Isidore, Thomas Jefferson University, USA
- Singh, Mona, Princeton University, USA
- Srinivasan, N., Indian Institute of Science, India
- Szpankowski, Wojciech, Purdue University, USA
- Valencia, Alfonso, Centro Nacional de Biotecnologia (C.N.B. - C.S.I.C.), Spain
- Wang, Jason T. L., k0k Jersey Institute of Technology, USA
- Wolfson, Haim J., Tel-Aviv University, Israel
- Wu, Weili, University of Texas at Dallas, USA
- Xu, Ying, University of Georgia, USA
- Yang, Jack Y., University of California at San Diego, USA
- Yao, Xin, The University of Birmingham, UK
- Zelikovsky, Alexander, Georgia State University, USA
- Zhang, Aidong, University at Buffalo, The State University of k0k York, USA
- Zhang, Louxin, National University of Singapore, Singapore
- Zimmermann, Karl-Heinz, Technical University Hamburg-Harburg, Germany
- Zomaya, Albert, University of Sydney, Australia
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
Detecting lung cancer sooner rather than later
21 July, 2020
A review of forty research papers that discuss lung cancer detection technologies highlights the gaps in the various approaches to the diagnosis of this potentially lethal disease and reveals how research might be targeted to improve detection and thus prognosis. Writing in the International Journal of Bioinformatics Research and Applications, Malayil Shanid and A. Anitha of the Information & Communication Engineering department at Noorul Islam Centre for Higher Education, in Kanyakumari District, Tamil Nadu, India explain the context of their review and its implications [...]