This article is part of the supplement: The 2010 International Conference on Bioinformatics and Computational Biology (BIOCOMP 2010): Genomics
Genomic signatures and gene networking: challenges and promises
1 Department of Pathology, Bioinformatics Core, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58201, USA
2 School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
3 Department of Computer Science, University of Georgia, Athens, Georgia 30602-7404, USA
4 Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
5 Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA
6 J.C. Self Research Institute of Human Genetics, Greenwood Genetic Center, Greenwood, SC 29646, USA
7 Office of the President of The First Hospital, Guangxi Medical University, Nanning, Guangxi, China
8 Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612, USA
9 Rush University Cancer Center, Rush University Medical Center, Chicago, IL 60612, USA
10 Department of Biochemistry, Rush University Medical Center, Chicago, IL 60612, USA
Citation and License
BMC Genomics 2011, 12(Suppl 5):I1 doi:10.1186/1471-2164-12-S5-I1Published: 23 December 2011
This is an editorial report of the supplement to BMC Genomics that includes 15 papers selected from the BIOCOMP'10 - The 2010 International Conference on Bioinformatics & Computational Biology as well as other sources with a focus on genomics studies.
BIOCOMP'10 was held on July 12-15 in Las Vegas, Nevada. The congress covered a large variety of research areas, and genomics was one of the major focuses because of the fast development in this field. We set out to launch a supplement to BMC Genomics with manuscripts selected from this congress and invited submissions. With a rigorous peer review process, we selected 15 manuscripts that showed work in cutting-edge genomics fields and proposed innovative methodology. We hope this supplement presents the current computational and statistical challenges faced in genomics studies, and shows the enormous promises and opportunities in the genomic future.