As co-founder of the HUPO Proteomics Standards Initiative (PSI), Henning Hermjakob contributed to the development of a broad range of community data representation standards for proteomics and interactomics. Based on the trust and collaborative spirit built up in the development of data representation standards, he coordinated the next step, the intensive collaboration of proteomics and interactomics data resources globally in the IMEx [3] and ProteomeXchange [4] consortia, providing infrastructure support for the move towards an open data culture in proteomics. Building on his experience in interactomics, he is now co-PI of the Reactome Pathways database [1] and the BioModels resource of systems biology models [2]. Current research interests comprise distributed data resources (http://omicsdi.org) and complex data visualisation.
1. Fabregat A, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7.
2. Chelliah V, et al. BioModels: ten-year anniversary. Nucleic Acids Res. 2015 Jan;43 (Database issue):D542-8.
3. Orchard S, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012 Mar 27;9(4):345-350.
4. Vizcaíno JA, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014 Mar 10;32(3):223-6.
5. Lander ES, et al. Initial sequencing and analysis of the human genome.
Nature. 2001 Feb 15;409(6822):860-921.
Assistant Professor at the University of California San Francisco in the Department of Bioengineering and Therapeutic Sciences, the Institute for Quantitative Biosciences (QB3), and the Institute for Human Genetics.
Senior Lecturer in Communicable Disease Epidemiology, School of Public Health, University of Sydney; Public Health Lead and Node Leader for Mass Gathering Medicine, Marie Bashir Institute, University of Sydney; Honorary Life Fellow, St Andrew's College within the University of Sydney; Senior Member and College Research Associate, Wolfson College, University of Cambridge
Biographical details:
I studied medicine in Cambridge and during my junior doctor years was very interested in both neurology and infectious diseases. Clinically I specialised in medical microbiology, keeping a particular interest in neurological infections. For the past 3 years I have been in Saudi Arabia developing a pathogen genomics laboratory where I have gained first-hand experience of second generation sequencing and bioinformatics.
Research interests:
Infectious diseases and medical microbiology are undergoing the most significant shift since PCR was introduced. By the end of this decade, sequencing will have become the main option when investigating any outbreak or infection. I study the interface between genomics as a pure science and its translation into clinical and public health benefits.
At present I am examining the worldwide genomics of tuberculosis, the use of sequencing to characterise MRSA strains and the genomic variations in BCG vaccine strains used around the globe.
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.
Assistant Professor of Microbiome and Nutrition, at the Dept of Food Sciences and Experimental Nutrition, at the University of São Paulo, Brazil, and a Research Fellow at the Laboratory of Applied Immunology, at the University of Brasilia. His experience is focused on the molecular ecology of microbial systems, especially host-associated microbial ecosystems. For the last 10 years, he has centered his research questions on the human gut microbiome, using both human studies as well as animal models. Key aspects of this research include the influence of the gut microbiome on health and disease, the modulation of the gut microbiome through diet and the immune system, especially through the use of unavailable carbohydrates.
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
I am a Professor in the Faculty of Biology, Medicine and Health at the University of Manchester. My scientific career has taken me from a PhD in Biochemistry at UCL, London, via the European Molecular Biology Laboratory, back to Manchester in the UK where I undertook a Wellcome Trust fellowship, before gaining a Lectureship in 1998. My research covers themes in computational and systems biology and bioinformatics. We apply computational approaches to the study of biological systems and molecules, and my particular areas of interests are broadly in the areas of protein and genome bioinformatics including quantitative proteomics, regulation of gene expression (and particularly translation from mRNA to protein), and general bioinformatics.
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.
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.
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.
I am a computational chemist and data scientist and group leader at AstraZeneca. My research activities all share the motivation to bring the power of computational chemistry to new chemical problems in pharmaceutical research and beyond, to fundamentally understand properties and functions of organic molecules, to reveal hidden chemical questions and to promote solutions for chemical challenges and focus on the development and application of efficient and transferable computational techniques and workflows.
Past and present research involved multi-disciplinary research in the areas of reactivity prediction, catalysis, biotechnology, bio-organic, colloid, and radical chemistry, molecular self-assembly and supramolecular chemistry, ion effects, and molecular electronics in organic electronic devices.
Following my undergraduate studies of Molecular Science I received my PhD in Computational Chemistry from the University of Erlangen-Nuernberg, Germany in 2010. I then worked as a Postdoc for the Cluster of Excellence Engineering Advanced Materials (EAM) until 2014, when I joined the Sustainable Process Technology (SPT) Research Group in in the Faculty of Engineering of the University of Nottingham, first as an EU and UoN funded fellow, then as Assistant Professor in Biotechnology and Computational Chemistry. In September 2022 I joined AstraZeneca in Gothenburg / Sweden to work in predictive computational chemistry and data science within the Pharmaceutical Science department.
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.