- 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
- Diana Marshall, BioMed Central
Identification of loci that contain drought- and yield-related traits on rice chromosomes can help with the breeding of more climate change-resistant rice.
Analysis of 4000-3500 year old mitochondrial DNA from mummies in the Tarim Basin in China reveals diverse origins and gives clues about migration patterns of the populations.
Genotyping of 353 sheep from 18 native Welsh breeds characterizes their genetic structures, showing that they are highly diverse, and suggests a common ancestry with European breeds.
New quantitative high resolution melting methods to determine SNP allele frequencies across multiple populations are time- and cost-efficient, allowing for accurate genotyping of pooled samples.
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.
BMC Genetics 2015, 16:115
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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.
BMC Genetics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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- 01 October 2015
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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
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