Center for Genome Informatics
Our Mission & Scope
The Center for Genomic Informatics (CGI) aims to apply cutting-edge computational approaches to enable and enhance genome-based biomedical and clinical studies for researchers at UMDNJ-New Jersey Medical School.
Located in Medical Science Building (MSB), CGI has access to deep sequencing systems and state-of-the-art sequence and expression analysis programs, genomic databases, and high-performance computing facilities (supported by NJMS-TSS). We help researchers use off-the-shelf bioinformatics tools as well as develop custom software and databases to meet specific needs. We also provide individual hands-on training sessions on public databases and bioinformatics applications.
Next-Generation Sequencing (NGS) technology is rapidly changing the way scientists conduct research, fostering a growing number of breakthroughs in a wide range of biological and clinical fields, from human disease to agriculture to evolution. With this cutting-edge technology, researchers can address questions about genomes, transcriptomes, and epigenomes with unprecedented depth. We will provide a comprehensive package of services including experiment design, sequencing, data analysis, and visualization.
Services
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Analysis of next-generation sequencing data, e.g. mRNA-seq, ChIP-seq, etc.
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Microarray data analysis, e.g. data QC, gene significance, gene pathway analysis, etc.
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Genome sequence analysis, e.g. motif search, phylogenetics, etc.
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Population genomics
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Bioinformatics/genomics tool tutoring and general consultation
Staff
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Bin Tian Ph.D., Faculty Director, has been the Director of CGI since 2008. Dr. Tian's research group focuses on RNA genomics and gene regulatory mechanisms using both computational and molecular approaches. He is currently holding an appointment of Associate Professor at Department of Biochemistry and Molecular Biology. Office:
MSB E-501
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Li Hao Ph.D., Senior Bioinformatic Specialist, joined CGI in April, 2009. After obtaining a Ph.D. from Pennsylvania State University, Dr. Hao had postdoctoral trainings at Johns Hopkins School of Medicine and NYU Langone Medical Center. She had broad expertise in bioinformatics, comparative genomics, statistical genetics, and evolutionary biology. She is highly experienced in analyzing large-scale genomic dataset (Next-Gen sequencing and microarray). See her Bio for more experience and publications. She is also holding an appointment of Adjunct Assistant Professor at Department of Biochemistry and Molecular Biology. Office: MSB E-679 |