) Advanced computing capabilities are increasingly important for experimental molecular and cellular biology (see the NIH BECON initiative for example). Because of its increased importance, Computing and Bioinformatics is the only facility for which we are requesting a significant increase in budget. By running a centrally managed facility, we believe that sophisticated computer services can be provided to all members of the Cancer Center. These services include desktop publishing and data presentation, traditional areas of emphasis. Importantly, however, we will deploy an advanced suite of bioinformatics tools that run on a centralized server and are accessed via a web browser (the Informax SSBM Server, Science 285, p. 1226-1227, 1999). These bioinformatics tools include all of the traditional Staden-type protein and DNA queries, as well as complex Boolean queries on the complete Genebank databases. The server will also handle data analysis for the newly established micro-array facility. The advanced BLAST and query services of the Facility will be of immediate use to virtually all students and postdocs in the Center. The micro-array and polymorphism analysis tools that are to be deployed this fall will be of immediate use to the Housman, Jacks, Hynes and Bell Labs. Once the system is working we anticipate multiple users. The Computing and Bioinformatics Center will be staffed by a Database Manager (DBM) who will oversee operation and train users, and by a computer specialist who will be in charge of desktop support. The centralized equipment in the Facility will include a multi-processor Silicon Graphics Server, a Network Appliance Data Storage System, a Mass Storage Disc Array and a Tape Backup Subsystem. Users will access this server through PC, Macintosh and Unix workstations, several of which will be in a newly renovated room on the fifth floor and others that will be in individual labs. Overall policy in the center will be set by Professor Sorger working with a contact group consisting of Professors Tyler Jacks, David Housman, Steve Bell and the Database Manager.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014051-31
Application #
6591556
Study Section
Project Start
2002-05-01
Project End
2003-04-30
Budget Start
Budget End
Support Year
31
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Murphy, Patrick A; Butty, Vincent L; Boutz, Paul L et al. (2018) Alternative RNA splicing in the endothelium mediated in part by Rbfox2 regulates the arterial response to low flow. Elife 7:
Guen, Vincent J; Edvardson, Simon; Fraenkel, Nitay D et al. (2018) A homozygous deleterious CDK10 mutation in a patient with agenesis of corpus callosum, retinopathy, and deafness. Am J Med Genet A 176:92-98
Woolston, Benjamin M; Roth, Timothy; Kohale, Ishwar et al. (2018) Development of a formaldehyde biosensor with application to synthetic methylotrophy. Biotechnol Bioeng 115:206-215
Khan, Omar F; Kowalski, Piotr S; Doloff, Joshua C et al. (2018) Endothelial siRNA delivery in nonhuman primates using ionizable low-molecular weight polymeric nanoparticles. Sci Adv 4:eaar8409
GuimarĂ£es, Pedro P G; Gaglione, Stephanie; Sewastianik, Tomasz et al. (2018) Nanoparticles for Immune Cytokine TRAIL-Based Cancer Therapy. ACS Nano 12:912-931
Huang, Hsin-Ho; Qian, Yili; Del Vecchio, Domitilla (2018) A quasi-integral controller for adaptation of genetic modules to variable ribosome demand. Nat Commun 9:5415
Moynihan, Kelly D; Holden, Rebecca L; Mehta, Naveen K et al. (2018) Enhancement of Peptide Vaccine Immunogenicity by Increasing Lymphatic Drainage and Boosting Serum Stability. Cancer Immunol Res 6:1025-1038
Nath, Samir R; Yu, Zhigang; Gipson, Theresa A et al. (2018) Androgen receptor polyglutamine expansion drives age-dependent quality control defects and muscle dysfunction. J Clin Invest 128:3630-3641
Kimmerling, Robert J; Prakadan, Sanjay M; Gupta, Alejandro J et al. (2018) Linking single-cell measurements of mass, growth rate, and gene expression. Genome Biol 19:207
Rothenberg, Daniel A; Taliaferro, J Matthew; Huber, Sabrina M et al. (2018) A Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growth. iScience 9:367-381

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