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SBR-Blood: A systems biology repository to profile changes during blood cell differentiation process

Friday, November 08, 2013 — Poster Session IV

2:00 p.m. – 4:00 p.m.

FAES Academic Center (Upper-Level Terrace)

NHGRI

COMPBIO-11

Authors

  • J Lichtenberg
  • D.M. Bodine

Abstract

Hematopoietic research over several decades has generated large expression and epigenetic datasets, and provided information on human and mouse blood cell development. Models that describe how epigenetic changes influence gene expression and control differentiation of blood cell types require a systems biology approach to hematopoiesis. Advancement towards understanding of molecular processes and associated disorders depends on effective integration of diverse datasets. To this end we have developed a new systems biology repository: SBR-Blood. SBR-Blood offers access to microarray expression profile data as well as high-throughput sequencing data, and allows for correlative and integrative analyses. Correlations within the repository can utilize curated static data sets as well as user-generated data. Data are assigned to the corresponding cell types and differentiation lineages, and can be compared against others to generate gene and peak lists that can be mined for functional or regulatory information. SBR-Blood is populated with human and mouse hematopoietic data and contains most publicly available mRNA expression data, as well as methylation, histone and ChIP data. The correctness of the repository and its applicability as a research tool has been documented through the replication of previously validated results as well as through the support of novel research questions.

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