A crucial component to the recent major advances in genomics research has been the uniting of advances in biology with those in computers, informatics and networking. As genome sequencing throughput has increased, the technological burden has shifted increasingly to analysis and informatics. This project was established to ensure that as this process advances, the necessary computational tools and resources are available to the NIH community.Software tools have been developed to integrate automated sequence analysis procedures with cDNA sequence data stored in a SYBASE relational database system. These include tools for prescreening cDNA sequence against a local database, automated searching against the NCBI network blast server, providing the display of the results allowing user interaction to select information to be inserted into the database.An integrated system is being developed to provide for the storage, management, analysis and viewing of cDNA mircoArray data. Web based viewing and analysis tools are being designed and developed. Computational genetic linkage analysis software packages are widely used at NIH for the precise mapping of potential disease genes. This software is extremely computer resource-intensive and complex to use and maintain. We assist all NIH laboratories performing linkage analysis by providing needed software on shared, high-performance computing platforms, as well as simplifying the procedures to use the software. Work continues to adapt various software packages to high performance computing platforms including IBM SP2 and SGI Power Challenge systems. We continue to research and develop tools and methods to make more computing resources available to the NIH community through the World Wide Web. This includes use of HTML, Java based Applets and gateways to compute servers and database systems. Several applications are now accessible through our Web site.

National Institute of Health (NIH)
Center for Information Technology (CIT)
Intramural Research (Z01)
Project #
Application #
Study Section
Special Emphasis Panel (CBEL)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Center for Information Technology
United States
Zip Code
Shaffer, Arthur L; Emre, N C Tolga; Lamy, Laurence et al. (2008) IRF4 addiction in multiple myeloma. Nature 454:226-31
Lenz, Georg; Wright, George W; Emre, N C Tolga et al. (2008) Molecular subtypes of diffuse large B-cell lymphoma arise by distinct genetic pathways. Proc Natl Acad Sci U S A 105:13520-5
Annunziata, Christina M; Davis, R Eric; Demchenko, Yulia et al. (2007) Frequent engagement of the classical and alternative NF-kappaB pathways by diverse genetic abnormalities in multiple myeloma. Cancer Cell 12:115-30
Ngo, Vu N; Davis, R Eric; Lamy, Laurence et al. (2006) A loss-of-function RNA interference screen for molecular targets in cancer. Nature 441:106-10
Shaffer, Arthur L; Wright, George; Yang, Liming et al. (2006) A library of gene expression signatures to illuminate normal and pathological lymphoid biology. Immunol Rev 210:67-85
Riss, Joseph; Khanna, Chand; Koo, Seongjoon et al. (2006) Cancers as wounds that do not heal: differences and similarities between renal regeneration/repair and renal cell carcinoma. Cancer Res 66:7216-24
Dave, Sandeep S; Fu, Kai; Wright, George W et al. (2006) Molecular diagnosis of Burkitt's lymphoma. N Engl J Med 354:2431-42
Kovanen, Panu E; Young, Lynn; Al-Shami, Amin et al. (2005) Global analysis of IL-2 target genes: identification of chromosomal clusters of expressed genes. Int Immunol 17:1009-21
Bea, Silvia; Zettl, Andreas; Wright, George et al. (2005) Diffuse large B-cell lymphoma subgroups have distinct genetic profiles that influence tumor biology and improve gene-expression-based survival prediction. Blood 106:3183-90
Dave, Sandeep S; Wright, George; Tan, Bruce et al. (2004) Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N Engl J Med 351:2159-69

Showing the most recent 10 out of 22 publications