About IEEE Transactions on Computational Biology and Bioinformatics
IEEE Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system.
Scope of Interest
The publication represents a mixture of three research modalities: a) fundamental methodological, algorithmic, mathematical, and statistical research directly motivated by biological issues; b) papers focusing on experimental and implementation issues; and c) papers on serious application of methods and programs that lead to discoveries of biological significance. Increasingly, papers contain elements of all three modalities.
Specific topics of interest include, but are not limited to:
- sequence analysis
- comparison and alignment methods
- motif, gene and signal recognition
- molecular evolution
- phylogenetics and phylogenomics
- determination or prediction of the structure of RNA and Protein in two and three dimensions
- DNA twisting and folding
- gene expression and gene regulatory networks
- deduction of metabolic pathways
- micro-array design and analysis
- proteomics
- functional genomics
- molecular docking and drug design
- computational problems in genetics such as
- linkage and QTL analysis
- linkage disequilibrium analysis in populations
- and haplotype determination
- systems biology
Submission Instructions:
For author information and guidelines on submission criteria, please visit the Author Guidelines page on IEEE Transactions on Computational Biology and Bioinformatics
In addition to submitting your paper to
IEEE Transactions on Computational Biology and Bioinformatics, you are also encouraged to upload the data related to your paper to
IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about
OA submissions here.
