Man-Hung Eric Tang's homepage

   

Man-Hung Eric Tang
Ph.D

Current affiliation:

Lund University
Department of Oncology - Translational Oncogenomics
Klinkgatan 28
22184 Lund
Sweden
Email:
Man-Hung_Eric.Tang at med.lu.se
   
 

Background
Oct 2011 - Present   : Postdoctoral fellow at Lund University.
Aug 2009 - Aug 2011  : Postdoctoral fellow at Cold Spring Harbor Laboratory.
Feb 2006 - May 2009  : Bioinformatics Centre, KU. PhD in Bioinformatics
Jun 2004 - Jan 2005  : Institute for Infocomm Research, Singapore. Master's thesis project
Aug 2003 - May 2005: Chalmers University of Technology, Sweden.  Msc. in Bioinformatics.
Jan 2002 - Sept 2002 : Centre for Wireless Communications, Singapore. Master's thesis project
Jul 2001 - Sept 2002 : National University of Singapore. Student exchange programme.
Sep 1997 - Nov 2002 : Institut Superieur d'Electronique de Paris, France.  Msc. in Electrical and Computer Engineering.

 

Current projects
I joined Cold Spring Harbor Lab in 2009 in a cancer research unit (Hicks and Zhang lab) in collaboration with Philips research North America and was involved in multiple projects focusing:
  • Biomarker discovery and epigenetics and copy number alteration in breast cancer.
  • Multi-modality (methylation / expression / CNV /clinical data) analysis platforms with the aim to better understand the dynamics of DNA recombination breakpoints in cancer.
  • Multi-platform (array, sequencing) analysis of DNA methylation changes in cancer
Currently at the Translational Oncogenomics Unit, Lund University, I am pursuing my research interests in genome instability in breast cancer and my projects include:
  • Next-Gen Sequencing of breast tumours and characterization of typical chromosomal rearrangements in Primary tumours and Metastasis
  • various tool development projects for the SCAN-B initiative
 

My projects at KU
After my education in engineering and bioinformatics, I joined the Bioinformatics Centre in February 2006 as a Ph.D Student to share and apply my skills in signal modelling into promoter sequence analysis. My projects included:
  • Development of BayesMD, a Bayesian framework for Motif Discovery
  • Study of the regulatory signals in TATA-less CAGE single peak promoters
  • Curation and update of the Jaspar Database
  • Discriminative refinement of PWMs

The focus in my work is to provide experimentalists with comprehensive software tools and models to help them in analysing biological data.
My research interest include:

  • Development methods for gene regulation bioinformatics
  • Computational methods for sequence analysis, e.g. pattern finding
  • Promoter analysis and modelling
  • Algorithms for signal and image analysis

For further information about our activities, visit our the promoter group webpage

 
Publications
  • A Method For Finding Novel Associations Between Genome-Wide Copy Number And DNA Methylation Patterns
    Tang MH, Varadan V, Kamalakaran S, Zhang MQ , Dimitrova N, Hicks JB.
    IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2011)

  • DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables.
    Kamalakaran S, Varadan V, Giercksky Russnes HE , Levy D, Kendall J, Janevski A, Riggs M, Banerjee N, Synnestvedt M, Schlichting E, Karesen R, Prasada S, Rotti H, Rao R, Rao L, Tang MH, Satyamoorthy, Lucito R, Wigler M, Dimitrova N, Naume B, Borresen-Dale A, Hicks JB Mol Oncol. 2011 Feb;5(1):77-92. Epub 2010 Dec 2.

  • DISPARE: DIScriminative PAttern REfinement for Position Weight Matrices.
    da Piedade I, Tang MH, Elemento O. BMC Bioinformatics. 2009 Nov 26;10:388.

  • Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE
    Valen E, Pascarella G, Chalk A, Maeda N, Kojima M, Kawazu C, Murata M, Nishiyori H, Lazarevic D, Motti D, Marstrand TT, Tang MH, Zhao X, Krogh A, Winther O, Arakawa T, Kawai J, Wells C, Daub C, Harbers M, Hayashizaki Y, Gustincich S, Sandelin A, Carninci P.
    Genome Res. 2009 Feb;19(2):255-65. Epub 2008 Dec 11.

  • BayesMD: Flexible Biological Modelling for Motif Discovery
    Tang MH, Krogh A, Winther O, Journal of Computational Biology 2008. Dec;15(10):1347-63.

  • JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update.
    *Bryne JC, *Valen E, *Tang MH, Marstrand T, Winther O, da Piedade I, Krogh A, Lenhard B, Sandelin A.
    Nucleic Acids Res. 2008 Jan;36(Database issue) :D102-6. Epub 2007 Nov 15. *equal contribution.

  • KBERG: KnowledgeBase for Estrogen Responsive Genes.
    Tang S, Zhang Z, Tan SL, Tang MH, Kumar AP, Ramadoss SK, Bajic VB
    Nucleic Acids Res. 2007 Jan;35(Database issue) :D732-6. Epub 2006 Nov 7.

  • Computational method for discovery of estrogen responsive genes.
    Tang S, Tan SL, Ramadoss SK, Kumar AP, Tang MH, Bajic VB.
    Nucleic Acids Res. 2004 Dec 1;32(21):6212-7. Print 2004.
 
Past Achievements
During my placement at the Institute for Infocomm Research in Singapore, I was involved in various projects related to estrogen responsive genes. I contributed in the development and data curation for several tools, including:
  • Knowledgebase of Estrogen Responsive Genes : a database to decipher the functional association of Estrogen Responsive Genes.
  • Dragon Estrogen Responsive Gene Finder. A computational tool to predict a sub-group of human estrogen responsive genes based on the similarity of their ERE frame in promoter regions. Predictions result have been evaluated by both microarray evidence and literature search.
  • Dragon Explorer of Estrogen Responsive Genes Functionality. A comprehensive computational system that helps scientists decipher estrogen responsive genes from multiple dimensions, including cis-element prediction, orthologous gene comparison, protein association, gene function assignment based on ontology categories, etc.
 
Last update: 21-Feb-2012