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Sebastian Schmeier

0000-0002-3947-8226

Senior Lecturer/AssitantProf in Bioinformatics/Genomics (Bioinformatics and computational biology not elsewhere classified)

Auckland, New Zealand

Sebastian Schmeier holds a MSc degree in Bioinformatics from the Freie Univeritaet Berlin, Germany and a PhD in Bioinformatics from the University of the Western Cape in Cape Town, South Africa. He was affiliated with the Max Planck Institute for Molecular Genetics in Berlin. He pursued post-doctoral research at the King Abdullah University of Science and Technology at the Computational Bioscience Research Center. Since 12/2012 he is a group leader at the Institute for Natural and Mathematical Sciences at Massey university Auckland in New Zealand. He is also a bioinformatics advisor for New Zealand Genomics Ltd and an Affiliate Investigator at the Maurice Wilkins Centre for Molecular Biodiscovery.

Publications

  • Redefining the transcriptional regulatory dynamics of classically and alternatively activated macrophages by deepCAGE transcriptomics. PMID: 26117544
  • Batf2/Irf1 induces inflammatory responses in classically activated macrophages, lipopolysaccharides, and mycobacterial infection. PMID: 25957166
  • IL-4Rα-dependent alternative activation of macrophages is not decisive for Mycobacterium tuberculosis pathology and bacterial burden in mice. PMID: 25790379
  • A promoter-level mammalian expression atlas. PMID: 24670764
  • DDPC: Dragon Database of Genes associated with Prostate Cancer. PMID: 20880996
  • TcoF-DB: dragon database for human transcription co-factors and transcription factor interacting proteins. PMID: 20965969
  • The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. PMID: 19377474
  • Database for exploration of functional context of genes implicated in ovarian cancer. PMID: 18790805
  • Text Mining for Systems Modeling DOI: http://dx.doi.org/10.1007/978-1-60761-987-1_19
  • Simplified Method to Predict Mutual Interactions of Human Transcription Factors Based on Their Primary Structure DOI: 10.1371/journal.pone.0021887
  • Prioritizing genes of potential relevance to diseases affected by sex hormones: An example of Myasthenia Gravis DOI: 10.1186/1471-2164-9-481
  • Network analysis of microRNAs and their regulation in human ovarian cancer DOI: 10.1186/1752-0509-5-183
  • MACAT--microarray chromosome analysis tool DOI: 10.1093/bioinformatics/bti183
  • In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer DOI: 10.1186/1752-0509-5-144
  • Identification of estrogen responsive genes using esophageal squamous cell carcinoma (ESCC) as a model DOI: 10.1186/1752-0509-6-135
  • Finding Kinetic Parameters Using Text Mining DOI: 10.1089/1536231041388366
  • dPORE-miRNA: Polymorphic Regulation of MicroRNA Genes DOI: 10.1371/journal.pone.0016657
  • Deciphering the transcriptional circuitry of microRNA genes expressed during human monocytic differentiation DOI: 10.1186/1471-2164-10-595
  • DDEC: Dragon database of genes implicated in esophageal cancer DOI: 10.1186/1471-2407-9-219
  • Computational Methods to Identify Transcription Factor Binding Sites Using CAGE Information DOI: http://dx.doi.org/10.1201/b11146-12
  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man DOI: 10.1016/j.cell.2010.01.044

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