- Federico Canzian, German Cancer Research Center (DKFZ)
- Anna Malacrida, University of Pavia
- Michele Morgante, Universita' di Udine
- James Reecy, Iowa State University
- Roscoe Stanyon, Univeristy of Florence
- Rongling Wu, Pennsylvania State University
- Shuhua Xu, (CAS-MPG) Partner Institute for Computational Biology
- Catherine Potenski, BioMed Central
A systematic assessment of different gene- and pathway-level methods of secondary analyses of genome wide association studies provides insights into how to obtain biologically relevant information from these data.
Individually supplementing amino acids increases the lifespan of C. elegans, possibly through altered mitochondrial metabolism leading to activation of stress pathways.
The amount of available iron in the soil influences morphological and physiological traits of plants, and genome-wide analysis of corn grown under iron-deficient or iron-sufficient conditions reveals the genetic origins of these traits.
Ungenotyped beef cattle that have four or more offspring and do not have available biological material to carry out genotyping can have their genotype inferred with a high concordance rate.
A study in a Japanese population finds that multiple genetic factors influence the degree of nicotine dependence an individual has, including genes involved in dopamine transport and nicotine metabolism.
BMC Genetics 2015, 16:55
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BMC Genetics is an open access, peer-reviewed journal that considers articles on all aspects of inheritance and variation in individuals and among populations.
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Volume 16 Suppl 2 (23 April 2015)
Selected articles from The 11th Annual Biotechnology and Bioinformatics Symposium (BIOT-2014): Genetics
Provo, UT USA. 11-12 December 2014
Volume 16 Suppl 1 (2 February 2015)
Selected articles from the IX International Conference on the Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2014): Genetics
Novosibirsk, Russia. 23-28 June 2014
Volume 15 Suppl 2 (1 December 2014)
Development and evaluation of improved strains of insect pests for sterile insect technique (SIT) applications
Section Editor's profile
Rongling Wu is a Professor of Biostatistics and Bioinformatics and the Director of the Center for Statistical Genetics at The Pennsylvania State University. Dr. Wu's research interest focuses on the development of novel statistical models, designs, and algorithms for comprehending the genetic and epigenetic architecture of complex biological traits and processes. He is also interested in the construction of the genotype-phenotype map using network biology and systems biology. More recently, Dr. Wu has integrated his statistical approaches to experimental studies of complex trait genetics in the Center for Computational Biology he founded at Beijing Forestry University."As one of the earliest open access journals, BMC Genetics has been increasingly influential over years in the area of genetic research. It will continue to be a mainstream forum to publish the latest discoveries in genetics and genomics from leading scientists all around the world. In particular, it attracts the attention of the most promising young scientists to find, stimulate and publish various new ideas for higher-level research in genetics."
Professor Rongling Wu