FANG LAB @ MOUNT SINAI
 

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gang.fang@mssm.edu
Office: 212-659-1570

June 2015: SMALR paper published in Nature Communications (link). Press release. Media coverage: GEN, GenomeWeb, PHYS, Infection Control, ScienceDaily, etc.

Jan 2015: hiPSC NPC WNT signaling paper published in Biological Psychiatry (link)

July 2014: John gave a talk on epigenetic heterogeneity in bacteria at ISMB (link)

May
2014: Shijia gave a Young Investigator talk, epigenetic regulation, ASM (link)

May 2014: Gang gave a Young Investigator talk on bacterial epigenomics at ASM (link)

Jan 2014: pAA paper published in Nature Communications (link)

Jan 2014: hiPSC NPC paper published in Molecular Psychiatry (link)

Aug 2013: Gang gave a Kavli Frontiers of Science talk, National Acadamy of Science  (video)

May 2013: Gang selected to give a Frontiers in Science talk on Epigenomics and SMRT-Seq, JPI meeting, ISMB (link)

May 2013: Gang received U of Minn Best Dissertation Award,  "Discovering Combinatorial Disease Biomarkers" (cs, umn)

Mar 2013: Leverage sequence context effects for control-free detection of DNA modifications, PLoS Comp Bio (link)

Jan 2013: Comparative methylomes between two Mycoplasma strains published in PLoS Genetics (link)

Nov 2012: The methylome of the German outbreak E. Coli, Nature Biotechnology (Fang et al.). Also, highlighted in Nature Reviews Genetics, Nature Reviews Microbiology. Media coverage: Bio-IT World, TheScientist, PHYS

Oct 2012: Statistical modeling of kinetic variation data and the first map of base-resolution human mitochondrial DNA modifications, Genome Research (link)

  Gang Fang, PhD

Assistant Professor
Department of Genetics and Genomic Sciences
Institute for Genomics and Multi-scale Biology

Mount Sinai School of Medicine
1425 Madison Ave, Suite 3-70 Room J
New YorK, NY 10029

Bacterial DNA Methylations (6mA, 4mC, 5mC)
Epigenetics of Antibiotic Resistance & Virulence
Genetic & Epigenetic Heterogeneity
Third-generation (single molecule) Sequencing
iPSC-based study of Human Diseases
Genetic Interactions / Epistasis


We are a computational biology lab that emphasizes biological and biomedical impacts in the
design of  computational, statistical and integrative methods. We prioritize our efforts on identifying emerging challenges in a relatively young research field and developing novel methods that can fundamentally address these challenges. Our long term goal is to obtain biological insights that can be translated for earlier and more accurate disease diagnosis, and more effective treatment.

Significance. We have special interests in two types of diseases

I
nfectious diseases (and associated cancers) that are caused by bacteria with antibiotic resistance and/or hypervirulence: the gastric pathogen Helicobacter pylori (it colonizes >40% of the world population and is a major cause of gastric cancer), several pathogens associated with bloody diarrhea (Escherichia coli, Vibrio cholerae and Clostridium difficile) and pathogens that are responsible for hospial acquired infections (Clostridium difficile and Staphylococcus aureus).

Mental disorders & neurodegenrative diseases that are often adult onset but are linked to developmental defets. To study the early brain development as a predisposition of these disease (specifically schizoprenia and Parkinson's disease), we leverage the recent advent of induced pluripotent stem cells (iPSCs) derived from skin cells through cell reprogramming, and design novel computational methods that address unique challenges associated with iPSC-based studies. 

Innovation. Our research highlights several dimensions of innovations:

A. Pioneering the use of new technologies
: Nature Biotechnology, 2012; PLoS Genetics, 2013;

B. Designing foundational statistical models for new data types: Genome Research, 2013; PLoS Compulational Biology, 2013.

C. Fundamentally addressing emerging challenges: Nature Commnications, 2015;

D. Novel integration of multiple data types : Molecular Psychiatry, 2014; Nature Commnications, 2014; Biological Psychiatry, 2015;