Computational biology and genomics refers to the use of computational analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequences, as well as other "post-genomic" data. This biomedical research field has progressed significantly over the last few years primarily due to the advancement of technologies such as next generation sequencing (NGS) and shotgun proteomics technologies which have been rapidly applied in biomedical and biological research since their introduction. Transforming genomic and proteomic information into biological knowledge requires creative and innovative new computational approaches. With the current abundance of massive biological datasets, computational studies have become one of the most important avenues for biological discovery.
We invite investigators to contribute original research articles, as well as review articles, that will stimulate the continuing efforts in computational biology and genomics for more efficient analysis of big genomics data. Manuscripts submitted to this special issue are guaranteed to have a quick review process.
Suitable topics include, but are not limited to, the following:
- Functional genomics
- Evolutionary genomics
- Comparative genomics
- Metagenomics
- Epigenomics, non-coding RNA analysis, DNA methylation analysis
- Proteomic data analysis
- Expression analysis
- Network and pathway analysis
- Advanced genomic/proteomic data mining techniques
- New applications/tools for genomic/proteomic analysis
Important Dates
Submission of manuscripts: 25 August, 2014
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