Core C: Data Management The Data Core facilitates the collection, analysis, and presentation of data from all projects conducted at the Center for Hard Tissue Research. Two CHTR investigators, Drs. Stegman and Davies participate. All computing tasks are done within the CHTR. The CHTR maintains timely, standardized MS/DOS-compatible computers for all CHTR personnel, sufficient to suit each person's role. We now operate 31 non-networked desktop and 3 portable computers, which are closely matched to user abilities and needs, providing a cost-effective operation. The CHTR uses standardized commercially- available software packages appropriate to the job of each CHTR employee. We have found that little or no in-house development of specialized programs is needed. We own commercial word processing, spreadsheet, database, statistical, graphics (plotting and slidemaking), accounting, and utility packages that do almost all our work. Dr. Stegman is an expert with SAS, who frequently consults with other CHTR personnel about the appropriate tests for their data. We buy all our computer hardware and software by mail-order, shopping the ratings services of major trade publications. Dr. Davies makes most purchasing decisions, usually to buy comprehensive software packages with multi-level capabilities. Security is maintained by lock and key behind an office door for most computers. During the next two years, Creighton University will provide wiring and low cost linkup to its new fiber optic network, JAYNET. We are looking forward to this because of the ability to have on-line access to current literature and nationwide E-Mail. With no network or remote access to our computers possible, both data security and virus control are straightforward.

Project Start
Project End
Budget Start
1996-10-01
Budget End
1997-09-30
Support Year
1
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Creighton University
Department
Type
DUNS #
City
Omaha
State
NE
Country
United States
Zip Code
68178
Recker, R R; Kimmel, D B; Dempster, D et al. (2011) Issues in modern bone histomorphometry. Bone 49:955-64
Chen, Xiang-Ding; Xiao, Peng; Lei, Shu-Feng et al. (2010) Gene expression profiling in monocytes and SNP association suggest the importance of the STAT1 gene for osteoporosis in both Chinese and Caucasians. J Bone Miner Res 25:339-55
Liu, Pengyuan; Lu, Yan; Recker, Robert R et al. (2010) Association analyses suggest multiple interaction effects of the methylenetetrahydrofolate reductase polymorphisms on timing of menarche and natural menopause in white women. Menopause 17:185-90
Lu, Yan; Liu, Pengyuan; Recker, Robert R et al. (2010) TNFRSF11A and TNFSF11 are associated with age at menarche and natural menopause in white women. Menopause 17:1048-54
Liu, Pengyuan; Lu, Yan; Recker, Robert R et al. (2010) ALOX12 gene is associated with the onset of natural menopause in white women. Menopause 17:152-6
Chen, Yuan; Shen, Hui; Yang, Fang et al. (2009) Choice of study phenotype in osteoporosis genetic research. J Bone Miner Metab 27:121-6
Lei, Shufeng; Deng, Feiyan; Xiao, Peng et al. (2009) Bivariate whole-genome linkage scan for bone geometry and total body fat mass. J Genet Genomics 36:89-97
Zhang, Zhi-Xin; Lei, Shu-Feng; Deng, Fei-Yan et al. (2009) Bivariate genome-wide linkage analysis for traits BMD and AAM: effect of menopause on linkage signals. Maturitas 62:16-20
He, Li-Na; Recker, Robert R; Deng, Hong-Wen et al. (2009) A polymorphism of apolipoprotein E (APOE) gene is associated with age at natural menopause in Caucasian females. Maturitas 62:37-41
Yan, H; Liu, Y-J; Zhou, Q et al. (2009) Comparison of whole genome linkage scans in premenopausal and postmenopausal women: no bone-loss-specific QTLs were implicated. Osteoporos Int 20:771-7

Showing the most recent 10 out of 72 publications