Background: Jul. 2011-Dec. 2013, Assistant Professor, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; Jan. 2014-Feb. 2014, Associate Professor, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; Mar. 2014-Jan. 2016, Research Associate, UCL Cancer Institute, University College London, London, UK (with Prof. Enver Tariq and Dr. Javier Herrero); Feb. 2016-Jan. 2018, Postdoctoral Research Assistant, Department of Plant Sciences, University of Oxford, Oxford, UK (with Prof. John Mackay)
Contact: Worsley Level 11,
You can read more about Dr Wang's interests here:
The bioinformatics analysis for all aspects of cutting-edge omics technologies
Dr Dapeng Wang is currently working as a Senior Bioinformatics Research Officer in LeedsOmics at the University of Leeds. In brief, he received a bachelor degree in mathematics from Shandong University (Jul. 2006) and obtained a PhD degree in bioinformatics from Beijing Institute of Genomics of the Chinese Academy of Sciences (Jul. 2011). He continued to conduct research at the same institute after his graduation and afterwards moved to the UK to work in Cancer Institute at University College London (Mar. 2014-Jan. 2016) and Department of Plant Sciences at University of Oxford (Feb. 2016-Jan. 2018).
He is a trained and experienced Bioinformatician and has spent over 10 years in the research projects of genomics and bioinformatics in the UK and China, who possesses profound knowledge of genome biology and masters a rich set of bioinformatics skills in the processing of large-scale biological data. He is very familiar with the popular molecular quantification technologies including array and sequencing as well as the state-of-the-art toolkits where he has been developing a number of high-standard and advanced Next-Generation-Sequencing pipelines or workflows for DNA-Seq, RNA-Seq and ChIP-Seq data. In addition, he has established a bunch of useful LAMP databases and webservers as a series of successful applications of computer techniques in contemporary computational biology studies, which integrate a huge number of genomes covering all major life forms in our planet and classified them in a well-characterized taxonomical system, leading to some of the solid foundations and innovative hypotheses for exploring genome architecture evolution from both two dimensional and three dimensional points of view.
Wang D. GCevobase: an evolution-based database for GC content in eukaryotic genomes. Bioinformatics. 2018 Feb 6.
Wang D. hppRNA—a Snakemake-based handy parameter-free pipeline for RNA-Seq analysis of numerous samples. Briefings in Bioinformatics. bbw143-bbw143, 2017.
Böiers C, Richardson SE, Laycock E, Zriwil A, Turati VA, Brown J, Wray JP, Wang D, James C, Herrero J, Sitnicka E, Karlsson S, Smith AJH, Jacobsen SEW, Enver T. A Human IPS Model Implicates Embryonic B-Myeloid Fate Restriction as Developmental Susceptibility to B Acute Lymphoblastic Leukemia-Associated ETV6-RUNX1. Developmental Cell. 2018 Feb 5;44(3):362-377.e7.
Kato I, Nishinaka Y, Nakamura M, Akarca AU, Niwa A, Ozawa H, Yoshida K, Mori M, Wang D, Morita M, Ueno H, Shiozawa Y, Shiraishi Y, Miyano S, Gupta R, Umeda K, Watanabe K, Koh K, Adachi S, Heike T, Saito MK, Sanada M, Ogawa S, Marafioti T, Watanabe A, Nakahata T, Enver T Hypoxic adaptation of leukemic cells infiltrating the CNS affords a therapeutic strategy targeting VEGFA Blood 129 3126-3129, 2017
Pina C, Teles J, Fugazza C, May G, Wang D, Guo Y, Soneji S, Brown J, Edén P, Ohlsson M, Peterson C, Enver T Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis Cell Reports 11 1503-1510, 2015
Wang D, Yu J Plastid-LCGbase: a collection of evolutionarily conserved plastid-associated gene pairs Nucleic Acids Research 43 D990-D995, 2015
Wang D, Xia Y, Li X, Hou L, Yu J The Rice Genome Knowledgebase (RGKbase): an annotation database for rice comparative genomics and evolutionary biology Nucleic Acids Research 41 D1199-D1205, 2012
Wang D hppRNA—a Snakemake-based handy parameter-free pipeline for RNA-Seq analysis of numerous samples Briefings in Bioinformatics bbw143-bbw143, 2017