The Computational Analysis Facility provides access to and expertise in high-performance computers and software for biological research in the institution. The facility, located on the thirteenth floor of the Houston Main Building, provides computer network access through Ethernet connections to all components of M.D. Anderson. Initially, the facility focused on computer support for the analysis of sequence data, including supplying the requisite programs for the manipulation of such data and database-searching technology. This support is being extended to providing software and expertise for molecular modeling of sequence data. While these types of analyses are necessary for conducting research in molecular biology today, few laboratories can afford to devote a person to the full- time activities required to remain current in this yield. Moreover, even few laboratories are able to support a person to find, install, and evaluate programs in the public domain that might be critical to one phase of research. Finally, few individual laboratories can afford the software licensing fees and the special computers required for analyses such as molecular modeling. Moreover, assistance with packages that are used only occasionally in a laboratory can be better obtained by a central resource facility like the CAF. At a lower level, the facility acts as a general ombudsman for general questions on computing and computers. Traditionally, the facility has measured its use by the number of central processing unit (CPU) hours used by all users. From December, 1993 to June, 1997, individuals in 21 Anderson departments used 3,866 CPU hours. In addition, the Facility teaches a graduate course on sequence analysis with a specific format making it easy for researchers to attend only the parts relevant to their research. This and other CAF activities are advertised through a newsletter and a World Wide Web page. In the future, the Facility will extend its computer support into related areas in which specialized software running on high-performance computers may be of use to a large number of users, such as three-dimensional analysis of confocal microscopy images obtained in the Automated Cytometry and Cell Sorter Laboratory/Confocal Microscopy and Image Analysis Facility. The policies of the Computational Analysis Facility are overseen by a committee comprised of Drs. de Crombrugghe, Marsha Frazier (Gastrointestinal Oncology and Digestive Diseases), and R. Allen White (biomathematics).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
3P30CA016672-23
Application #
6268950
Study Section
Project Start
1998-09-04
Project End
1999-06-30
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
23
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
001910777
City
Houston
State
TX
Country
United States
Zip Code
77030
Boddu, Prajwal; Masarova, Lucia; Verstovsek, Srdan et al. (2018) Patient characteristics and outcomes in adolescents and young adults with classical Philadelphia chromosome-negative myeloproliferative neoplasms. Ann Hematol 97:109-121
Casasent, Anna K; Schalck, Aislyn; Gao, Ruli et al. (2018) Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing. Cell 172:205-217.e12
Noh, Hyangsoon; Zhao, Qingnan; Yan, Jun et al. (2018) Cell surface vimentin-targeted monoclonal antibody 86C increases sensitivity to temozolomide in glioma stem cells. Cancer Lett 433:176-185
Hutcheson, Katherine A; Barrow, Martha P; Plowman, Emily K et al. (2018) Expiratory muscle strength training for radiation-associated aspiration after head and neck cancer: A case series. Laryngoscope 128:1044-1051
Zhao, Jun; Xiao, Zhilan; Li, Tingting et al. (2018) Stromal Modulation Reverses Primary Resistance to Immune Checkpoint Blockade in Pancreatic Cancer. ACS Nano 12:9881-9893
Akhtari, Mani; Milgrom, Sarah A; Pinnix, Chelsea C et al. (2018) Reclassifying patients with early-stage Hodgkin lymphoma based on functional radiographic markers at presentation. Blood 131:84-94
Barua, Souptik; Solis, Luisa; Parra, Edwin Roger et al. (2018) A Functional Spatial Analysis Platform for Discovery of Immunological Interactions Predictive of Low-Grade to High-Grade Transition of Pancreatic Intraductal Papillary Mucinous Neoplasms. Cancer Inform 17:1176935118782880
Ma, Junsheng; Chan, Wenyaw; Tilley, Barbara C (2018) Continuous time Markov chain approaches for analyzing transtheoretical models of health behavioral change: A case study and comparison of model estimations. Stat Methods Med Res 27:593-607
Bayraktar, Recep; Ivan, Cristina; Bayraktar, Emine et al. (2018) Dual Suppressive Effect of miR-34a on the FOXM1/eEF2-Kinase Axis Regulates Triple-Negative Breast Cancer Growth and Invasion. Clin Cancer Res 24:4225-4241
Parra, Edwin R; Villalobos, Pamela; Mino, Barbara et al. (2018) Comparison of Different Antibody Clones for Immunohistochemistry Detection of Programmed Cell Death Ligand 1 (PD-L1) on Non-Small Cell Lung Carcinoma. Appl Immunohistochem Mol Morphol 26:83-93

Showing the most recent 10 out of 12418 publications