The Bioinformatics Shared Resources (BISR) has undergone substantial change since the previous CCSG renewal in response to the changing technologies and accompanying informatics demands that have emerged during this period. The BISR has evolved from a facility largely focused on the development and management of databases and data storage/retrieval from various analytical sources (largely custom NimbleGen and Affymetrix microarrays) to one that is focused on addressing the challenges of massivelyparallel sequencing. In its current configuration, the BISR brings together multiple units at the AECC and the College to focus on the bioinformatics needs of investigators that utilize a variety of high-throughput genomic and epigenomic platforms, in particular massively-parallel sequencing, in their research. The components of the Bioinformatics Shared Resource include: (1) High-performance computing which was developed to meet the storage and processing needs of investigators based upon the sizes and complexities of data sets generated. High-performance computing has dedicated systems administrators, supporting relational database services and specialized high-performance computing resources, (ii) Computational genomics, (iii) The novel Wasp System software developed to receive, process, and provide initial analyses and presentation of data. Wasp has been designed not only to meet the data management needs of massively parallel sequencing but has been built with the flexibility that will allow adaptation to other types of datasets as they emerge in the future. The Bioinformatics Shared Resource works with Clinical Research Informatics to ensure that molecular data are fully interoperable with those of other AECC shared facilities, creating a """"""""virtual database"""""""" integrating these disparate sources of information for analysis by biostatisticians and others. Clinical Research Informatics also addresses the increasing emphasis on clinical/translational studies by facilitating the development of effective, secure linkages with Montefiore Medical Center clinical data.

Public Health Relevance

The Bioinformatics Shared Resource focuses on informatics needed by investigators utilizing a variety of high-throughput genomic and epigenomic platforms (e.g., massively-parallel sequencing), and supports the translational research mission of the Albert Einstein Cancer Center (AECC). As an NCI-designated Cancer Center, AECC contributes to the national effort to reduce morbidity and mortality from cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA013330-41
Application #
8753327
Study Section
Subcommittee B - Comprehensiveness (NCI)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
41
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Albert Einstein College of Medicine
Department
Type
DUNS #
City
Bronx
State
NY
Country
United States
Zip Code
10461
Hayama, Ryo; Sparks, Samuel; Hecht, Lee M et al. (2018) Thermodynamic characterization of the multivalent interactions underlying rapid and selective translocation through the nuclear pore complex. J Biol Chem 293:4555-4563
Willis, Ian M; Moir, Robyn D; Hernandez, Nouria (2018) Metabolic programming a lean phenotype by deregulation of RNA polymerase III. Proc Natl Acad Sci U S A 115:12182-12187
Huang, Kezhen; Mukherjee, Subhajit; DesMarais, Vera et al. (2018) Targeting the PXR-TLR4 signaling pathway to reduce intestinal inflammation in an experimental model of necrotizing enterocolitis. Pediatr Res 83:1031-1040
Martynova, Elena; Bouchard, Maxime; Musil, Linda S et al. (2018) Identification of Novel Gata3 Distal Enhancers Active in Mouse Embryonic Lens. Dev Dyn 247:1186-1198
Mathew, Deepti; Wang, Yanhua; Van Arsdale, Anne et al. (2018) Expression of ?V-Tubulin in Secretory Cells of the Fallopian Tube Epithelium Marks Cellular Atypia. Int J Gynecol Cancer 28:363-370
Bines, Jose; Tevaarwerk, Amye J (2018) Baby steps: Pregnancy outcomes after human epidermal growth factor receptor 2-targeted therapy. Cancer :
Entenberg, David; Voiculescu, Sonia; Guo, Peng et al. (2018) A permanent window for the murine lung enables high-resolution imaging of cancer metastasis. Nat Methods 15:73-80
Mao, Kai; Quipildor, Gabriela Farias; Tabrizian, Tahmineh et al. (2018) Late-life targeting of the IGF-1 receptor improves healthspan and lifespan in female mice. Nat Commun 9:2394
Sharma, Yogeshwar; Liu, Jinghua; Kristian, Kathleen E et al. (2018) In Atp7b-/- Mice Modeling Wilson's Disease Liver Repopulation with Bone Marrowderived Myofibroblasts or Inflammatory Cells and not Hepatocytes is Deleterious. Gene Expr :
Iqbal, Niloy Jafar; Lu, Zhonglei; Liu, Shun Mei et al. (2018) Cyclin-dependent kinase 4 is a preclinical target for diet-induced obesity. JCI Insight 3:

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