Advisory Board and Editors Genomics
Jacob J Hughey
I’m an Assistant Professor of Biomedical Informatics and Biological Sciences at Vanderbilt University. My group's research is centered around developing and applying computational methods to large, noisy datasets in order to quantify, model, and understand dynamic biological systems. We are particularly interested in the mammalian circadian system.
Matt I Hutchings
Professor of Molecular Microbiology at the University of East Anglia which is on the Norwich Research Park, Norwich UK.
Mohammad Irfan
Dr. Mohammad Irfan is a plant biologist having research interests in abiotic stress biology of crop plants particularly horticultural crops. During his doctoral and postdoctoral projects, he studied the fruit quality traits affected by abiotic stresses. In his current projects, he investigates the molecular mechanism underlying plant-specialized metabolic pathways and biosynthesis of high-value phytochemicals, such as anthocyanins and carotenoids of horticultural crops under abiotic stresses using transcriptomics, metabolomics, glycomic and functional genomic approaches.
Lakshminarayan M Iyer
I received my PhD in plant virology and pursue problems in evolutionary biology. My primary research contributions and interests are in the fields of protein evolution and classification, genome evolution, protein biochemistry and functional predictions, and organismal biology.
Main areas of research:
* Protein evolution and classification.
Identifying trends in genome evolution.
* Prediction of novel biochemical activities and biological functions of proteins.
* Using comparative sequence and genome analysis to make inferences on organismal biology
* Understanding the forces of evolution that shape protein domain diversity.
Jose MG Izarzugaza
Associate Professor at the Technical University of Denmark (DTU). As a senior scientist in Prof. Søren Brunak's group at the Center for Biological Sequence Analysis (CBS), I have a profound interest in different aspects of next generation sequencing (NGS) data analysis. This covers a broad spectrum of scenarios and applications. Actively involved in the Genome Denmark initiative, with two main goals: to assemble and annotate the first draft of the Danish reference genome and to identify viruses driving cancer. Other current projects include the prediction of the pathogenicity of mutations in the protein kinase superfamily for the TCGA/ICGC Pancancer initiative.
Rodolfo Jaffé
I`m interested in inter-disciplinary approaches, comprising population and community ecology, genomics and spatial statistics, to understand how the alteration of natural habitats influences biodiversity and the provision of ecosystem services.
Mukesh Jain
Dr. Mukesh Jain is presently associated with Jawaharlal Nehru University, New Delhi, as Professor. Before this, he served at the National Institute of Plant Genome Research, New Delhi as Staff Scientist. Dr. Jain’s research interests include understanding the transcriptional and epigenetic regulation of abiotic stress responses and seed development using advanced state-of-art multi-omics technologies.
Nicholas W Jeffery
Aquatic science biologist at the Bedford Institute of Oceanography, Department of Fisheries and Oceans Canada; Adjunct Faculty, Department of Integrative Biology, University of Guelph; PhD from the University of Guelph in Integrative Biology.
Sheri L Johnson
A behavioural ecologist with broad interests in sexual selection, mating system evolution, sperm biology, behavioural epigenetics, and the effects of environmental challenges (e.g., hypoxia, toxins, and microplastics) on the reproductive and behavioural ecology of animals. Study systems include marine invertebrates, marine and freshwater fishes (including zebrafish) and terrestrial invertebrates (weta and stag beetles). Overall, Dr Johnson's research programme investigates both genetic and environmental effects on behaviour and reproductive fitness.
Charles D Johnson
Dr. Johnson earned his BS and PhD from Texas A&M University, with an intermediate MS degree from Clemson University. He completed a postdoc at the University of Louisville, leading to his role as associate director of bioinformatics for the Center for Genetics and Molecular Medicine at the same institution. He played a foundational role in creating the statistics and bioinformatics division at Ambion/Asuragen Inc. Following this, Dr. Johnson founded BioMath Solutions LLC, a bioinformatics-focused startup specializing in software development for genomic technology firms.
Presently, Dr. Johnson serves as the Director of Genomics and Bioinformatics Service at Texas A&M AgriLife.
Christine Josenhans
Christine Josenhans is Professor for Microbiology and Medical Microbiology at Max von Pettenkofer Institute of Ludwig Maximilians University Munich and an infectious disease specialist. Until 2017, she was Associate Professor at Hannover Medical School, Germany, also in the field of infection research and molecular and cellular microbiology. Her research foci are on infectious disease agents in general, with specialization in microbiology, biochemistry, immunology, and host-pathogen interactions. She performed her Post-doctoral studies on Yersinia host-pathogen interactions, more specifically on their type III secretion system pore proteins. Current research foci are in persistent bacterial and viral infections, host-pathogen crosstalk and immune interference, as well as in the causal link between infections and cancer.
She is on the board of several undergraduate and graduate teaching programs.
Goo Jun
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.