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
Nong, Jingying; Gong, Yuhua; Guan, Yanfang et al. (2018) Circulating tumor DNA analysis depicts subclonal architecture and genomic evolution of small cell lung cancer. Nat Commun 9:3114
Brown, Justin C; Rickels, Michael R; Troxel, Andrea B et al. (2018) Dose-response effects of exercise on insulin among colon cancer survivors. Endocr Relat Cancer 25:11-19
Vakil, Erik; Jimenez, Carlos A; Faiz, Saadia A (2018) Pleural effusions in hematologic malignancies and their management with indwelling pleural catheters. Curr Opin Pulm Med 24:384-391
Yedururi, Sireesha; Chawla, Sumedha; Amini, Behrang et al. (2018) Tumor thrombus in the large veins draining primary pelvic osteosarcoma on cross sectional imaging. Eur J Radiol 105:49-55
Farinholt, Paige; Park, Minjeong; Guo, Ying et al. (2018) A Comparison of the Accuracy of Clinician Prediction of Survival Versus the Palliative Prognostic Index. J Pain Symptom Manage 55:792-797
Oh, Sang Cheul; Sohn, Bo Hwa; Cheong, Jae-Ho et al. (2018) Clinical and genomic landscape of gastric cancer with a mesenchymal phenotype. Nat Commun 9:1777
Yang, Yi; Li, Chia-Wei; Chan, Li-Chuan et al. (2018) Exosomal PD-L1 harbors active defense function to suppress T cell killing of breast cancer cells and promote tumor growth. Cell Res 28:862-864
Hui, David; Hess, Kenneth; Dibaj, Seyedeh S et al. (2018) The minimal clinically important difference of the Richmond Agitation-Sedation Scale in patients with cancer with agitated delirium. Cancer 124:2246-2252
LeBleu, Valerie S; Kalluri, Raghu (2018) A peek into cancer-associated fibroblasts: origins, functions and translational impact. Dis Model Mech 11:
Liu, Yang; Sethi, Nilay S; Hinoue, Toshinori et al. (2018) Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas. Cancer Cell 33:721-735.e8

Showing the most recent 10 out of 12418 publications