A molecular biologist in the Bovine Functional Genomics Laboratory, Agricultural Research Service, USDA. My research is focused on the interaction of nutrients and epigenomic regulation; analyze histone-DNA interaction in the bovine genome that is responsive to volatile fatty acid modulation to understand the functional roles of histone modification in gene expression regulation, cell cycle regulation, as well as rumen development.
Professor in Bioinformatics, Biology Department, Miami University, Ohio, USA
Assistant Professor, Department of Biological Sciences, University at Buffalo 2010-present; Postdoctoral Fellow/Research Associate, University of Oslo 2003-2008; PhD, University of Copenhagen 2003.
Feng Liu received his Ph.D. degree from the School of Life Science and Technology, University of Electronic Science and Technology of China and went on to work in the Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, China. Now he is an associate professor and his current research interests include Brain and Cognition, Magnetic Resonance Imaging, Imaging Genetic and Multivariate Pattern Analysis.
Current research focuses on investigating the impact of the environmental factors (e.g., green space, PM 2.5, etc) on human brain measured by magnetic resonance imaging.
Homepage: https://fengliu001.github.io/
I am an Assistant professor at Department of Biochemistry, State University of New York at Buffalo. I have expertise and extensive experience with developing and applying computational approaches for transcriptional and epigenetics regulation studies. As a postdoctoral fellow at Dana-Farber Cancer Institute, I developed widely used open-source algorithms, including MACS (cited over 3,200 times according to Google Scholar) to analyze ChIP-seq data, and an integrative platform for comprehensive analyses on cis-regulatory elements (http://cistrome.org/ap), which has over 3,000 users. I was a member of the Data Analysis Center and Analysis Working Group of the ENCODE and modENCODE consortium and was involved in deciphering functional elements through analyzing high-throughput profiles of chromatin factors and in comparing chromatin features between fly, worm and human genome. I have actively participated in the development of ChIP-seq guidelines for the broad scientific communities. My laboratory at University at Buffalo is focused on studying transcriptional and epigenetic regulatory mechanisms, and the influence of the genetic variations at regulatory elements.
Nick works as an Independent Research Fellow in the Institute for Microbiology and Infection at the University of Birmingham, sponsored by an MRC Fellowship in Biomedical Informatics. His research explores the use of cutting-edge genomics and metagenomics approaches to the diagnosis, treatment and surveillance of infectious disease. Nick has so far used high-throughput sequencing to investigate outbreaks of important pathogens such as Pseudomonas aeruginosa,Acinetobacter baumannii and Shiga-toxin producing Escherichia coli. His current work focuses on the application of novel sequencing technologies such as the Oxford Nanopore for genome diagnosis and epidemiology of important pathogens, including most recently real-time surveillance of the Ebola outbreak in West Africa. A more general aim is to develop bioinformatics tools to aid the interpretation of genome and metagenome-scale data in routine clinical practice in collaboration.
I am a Professor of Bioinformatics and Genomics at UNC Charlotte.
My group is interested in investigating the processes of evolution and biology using computational methods. We apply machine learning methods (HMMs, Bayesian statistics, particle filters, deep learning) to large data sets to study for example human demographic history or non-coding functional elements in the genome.
Faculty member at the Department of Bioinformatics and Genomics, College of Computing and Informatics, UNC Charlotte.
Research areas include: High throughput genomic data analysis Computational method development and implementation Systems biology on complex diseases and processes Biomedical informatics and computing Personal genome and personalized medicine
Associate Professor at the Medical University of Innsbruck, Austria. Our work includes the study of chromatin modulating factors in Drosophila and mouse and the analysis of posttranscriptional modifications on RNA.
Chenkai Ma is a postdoctoral researcher in CSIRO, working on the diagnostic biomarkers identification for diabetes. His expertise is in bioinformatic analysis for DNA methylation, RNA and ChIP sequencing. He has solid knowledge for biomarkers (including liquid biopsy) discovery and clinically usable assay designing. During his PhD, he identified a panel of circulating miRNAs biomarkers for glioma and exploration of the biological regulation in tumor microenvironment via extracellular vesicles. His knowledge also extends to immuno-oncology.
Research Asst. Professor, Marine Sciences, Univ. of North Carolina - Chapel Hill (2003-2017); Postdoctoral fellow, MPI – Marine Microbiology, Bremen, Germany (2000-2003); Research assistant and postdoctoral associate, Civil Engineering Dept., Northwestern University, Evanston, Ill. (1994-1999); PhD, Bacteriology, University of Wisconsin - Madison (1994); BS (1984) and MS (1986), Biology and Marine Microbiology, University of Massachusetts - Boston.
Research projects include: new methods to directly link species identity with carbon source utilization; direct profiling of microbial communities without PCR; direct detection of microbial enzymes in environmental samples.