Advisory Board and Editors Bioinformatics
James D Wasmuth
Dr. Wasmuth is an Associate Professor within the Department of Ecosystem and Public Health, Faculty of Veterinary Medicine at the University of Calgary, US. His primary research interests include parasite genomics and evolution.
David C Wedge
Group Leader in Cancer Genomics at the University of Oxford, Big Data Institute. I hold a BA in Chemistry from the University of Oxford, an MSc in Software Development from the University of Huddersfield and a PhD in Computing and Mathematics from Manchester Metropolitan University. I have previously worked as a researcher in the areas of Artificial Intelligence, Metabolomics, Proteomics and Genomics at the University of Manchester and the Wellcome Trust Sanger Institute. I have also previously taught in Primary Schools in schools in West Yorkshire.
Claus O Wilke
Professor and Department Chair, Department of Integrative Biology, The University of Texas at Austin. Received his PhD in Theoretical Physics from the University of Bochum, Germany, in 1999. Postdoc at Caltech, 2000-2005.
Robert Winkler
Robert Winkler is Principal Investigator of the Laboratory of Biochemical and Instrumental Analysis at the CINVESTAV Unidad Irapuato and faculty member for the postgraduate programs Plant Biotechnology and Integrative Biology. His research topics include novel mass spectrometry techniques such as low-temperature plasma ionization and covalent protein staining, new approaches in the high-throughput metabolomic profiling of plants, computational mass spectrometry and proteomics.
Yuri I. Wolf
Lead Scientist, Koonin Group at the Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health (Bethesda, Maryland).
Zhijin Wu
I develop statistical methodology and software for the analysis of -omics data. I am particularly interested in the regulation of transcription: the molecular mechanism as well as its association with disease.
Rongling Wu
Prof. Rongling Wu is a Distinguished Professor of Public Health Sciences and Statistics at Pennsylvania State Cancer Institute and Director of the Center for Statistical Genetics.
His research interests include; Quantitative Trait Loci, Genes, Growth, Population, Multifactorial Inheritance, Statistical Models, Genome, Populus, Genotype, Single Nucleotide Polymorphism, Phenotype and Chromosome Mapping.
Jianguo Xia
My research is mainly on integrating computational methods and different omics technologies (metabolomics, RNAseq, microbiomics, chemoinformatics and biological networks) to understand gene-environment interactions, within the broad context of diet, microbiome, infectious agents and environmental chemicals.
Wei Xu
Dr. Wei Xu received his Ph.D. in Biostatistics from University of Toronto. He is currently a scientist and principle biostatistician in Princess Margaret Hospital on clinical research of cancer diseases. He is a faculty member at the Dalla Lana School of Public Health, University of Toronto and on the Editorial Board of the Journal of Medical Statistics and Informatics. Dr. Xu's research interests are statistical genetics and clinical trial design and analysis. He is the author or co-author of over 100 publications in peer-review journals.
Rendong Yang
Dr. Yang is an assistant professor and section leader for cancer genomics at the Hormel Institute. Dr. Yang obtained his PhD in the China Agricultural University, where his work involved the topic of microarray data analysis. Briefly he developed two statistical models, called ARSER and LSPR, to detect periodically expressed transcripts from evenly or unevenly sampled temporal microarray gene expression profiles respectively. By applying these algorithms to Arabidopsis and rice transcriptome, a list of novel clock-controlled genes that regulating plant circadian rhythm were identified. Dr. Yang finished his postdoctoral training at Emory University, where his research switched to cancer genomics and epigenomics. Working with researchers in Winship Cancer Institute, he developed a bioinformatics pipeline to analyze the whole genome mate-pair and pair-end sequencing and RNA-seq data from three tumor cells in multiple myeloma, which leads to discovering a novel SPI-ZNF287 t(11;17) translocation. After postdoctoral training, Dr. Yang joined Supercomputing Institute at University of Minnesota as a Bioinformatics Analyst working on both clinical genomics and prostate cancer research to define and characterize AR gene rearrangements from DNA-seq data, and also to interrogate genome-wide binding profiles of AR and AR variants in prostate cancer cells and tissues.
Kentaro Yano
Past; Associate Professor of Bioinformatics lab, Department of Life Sciences,
School of Agriculture, Meiji University.
Past; Graduate School of Agricultural and Life Sciences, The University of Tokyo.
Kazusa DNA Research Institute.
Plent Breeding, Kyoto University.