Recent Advances in High Throughput Sequencing Analysis
1Vanderbilt Center for Quantitative Sciences, Nashville, USA
2University of Texas, Huston, USA
3Vanderbilt University, Nashville, USA
Recent Advances in High Throughput Sequencing Analysis
Description
Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research since their advent only a few years ago and have produced an avalanche of genome sequences. Transforming genomic information into biological knowledge requires creative and innovative new computational methods for all aspects of genomics. 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 genomics for more efficient analysis of high throughput sequencing data. Emphasis of implementation on high performance computing systems, parallel algorithms, and knowledge extraction from genome-wide sequencing data will be seen favorably. Advances in computational methods are welcome, though all submissions should relate to high throughput sequencing analysis.
Potential topics include but are not limited to the following:
- RNA sequencing data analysis
- DNA sequencing data analysis
- Microbiome sequencing data analysis
- Biomedical researches using high throughput sequencing
- Methodology development in high throughput sequencing